JP2013164784A - Lesson evaluation determination method, lesson evaluation determination program and lesson evaluation determination device - Google Patents

Abstract

[PROBLEMS] To automatically perform an appropriate class evaluation based on student behavior suitable for class evaluation.
SOLUTION: An abnormal behavior detection unit 150 acquires the power consumption of a student terminal 30 used by each student taking a class, and a class evaluation determination unit 34 is in a class among the student terminals. A student who uses a student terminal (a terminal outside the range of power consumption for completion determination) or a student whose deviation value is lower than the completion determination deviation value is determined to be incomplete. Then, the class evaluation determination unit 34 acquires the class time and the time when the abnormal behavior was performed during the class in the student terminal 30 used by students other than uncompleted students (completed students). Based on the ratio (classroom evaluation value) of the total of abnormal behavior time (abnormal behavior total time) at the student terminal 30 of the completed student to the total class time calculated from the product of the completed time and the number of students completed Determine the evaluation.
[Selection] Figure 6

Description

  This case relates to a class evaluation determination method, a class evaluation determination program, and a class evaluation determination apparatus.

  In educational institutions such as universities, it is necessary to evaluate whether classes are being conducted properly. Conventionally, each class is evaluated by conducting a questionnaire for students taking classes.

  With regard to such a questionnaire, a technique for obtaining accurate and reliable teaching improvement material or teaching improvement material is known (see, for example, Patent Document 1).

JP 2004-302858 A

  However, in the above-mentioned Patent Document 1, since the questionnaire target is all students who have taken a class, students who may not be able to correctly evaluate the class (for example, students who have not taken the class seriously) also evaluate the class. Therefore, the present inventor has realized that there is a possibility that proper evaluation may not be performed. In addition, when conducting a questionnaire, the student's manual input is required for answering, which may put a burden on the student.

  Therefore, this case has been made in view of the above problems, a class evaluation determination method, a class evaluation determination program, and a class evaluation capable of automatically performing appropriate class evaluation based on student behavior suitable for class evaluation. An object is to provide a decision device.

  The class evaluation determination method described in the present specification includes a power consumption status acquisition step of acquiring a power consumption status in a terminal used by each student taking a predetermined class, In the identifying step for identifying a student using a terminal whose power consumption is different from that of another terminal, the time when the lesson was performed, and the terminal used by a non-specific student other than the identified student Lessons required from the product of the time acquisition process for acquiring the abnormal time during which the consumption state of the power value was different from that of other terminals, and the time when the lesson was conducted and the number of non-specific students A class evaluation determination method in which a computer executes a determination step of determining the evaluation of the class based on the ratio of the total abnormal time at the terminal used by each non-specific student to the total time. It is.

  The lesson evaluation determination program described in the present specification acquires a power consumption state in a terminal used by each student taking a predetermined lesson, and the consumption state of the power value during the lesson among the terminals. Identifies a student who uses a terminal different from other terminals, and the consumption time of the power value during the class at the time when the class was conducted and a terminal used by a non-specific student other than the identified student. A terminal used by each of the non-specific students for the total class time obtained from the product of the time when the class was held and the number of non-specific students. This is a lesson evaluation determination program for causing a computer to execute a process of determining and determining the evaluation of the lesson based on the ratio of the total abnormal time.

  The class evaluation determination device described in the present specification includes a power consumption status acquisition unit that acquires a power consumption status in a terminal used by each student taking a predetermined class, and the terminal among the terminals. The class in the identifying unit that identifies a student who uses a terminal whose power consumption is different from other terminals, the time when the class was performed, and a terminal that is used by a non-specific student other than the identified student The class required by the product of the time acquisition unit for acquiring the abnormal time during which the consumption state of the power value was different from that of other terminals, and the time of the class and the number of non-specific students And a determination unit that determines the evaluation of the lesson based on the ratio of the total abnormal time at the terminal used by each of the non-specific students to the total time.

  The class evaluation determination method, the class evaluation determination program, and the class evaluation determination apparatus described in the present specification have an effect that an appropriate class evaluation based on the behavior of a student suitable for class evaluation can be automatically performed.

It is a figure showing roughly composition of a lesson evaluation system concerning one embodiment. It is a figure which shows the connection relation of PC and LCD of a terminal for students. It is a figure which shows the standby time setting value of PC and LCD. FIG. 4A and FIG. 4B are diagrams illustrating examples of changes in power consumption in the student terminal. It is a figure which shows the hardware constitutions of a class evaluation determination server. It is a functional block diagram of a class evaluation decision server. It is a flowchart which shows the process of a lesson evaluation determination server. It is a flowchart which shows the abnormal action detection process (the 1) of FIG. It is a figure which shows the power consumption table according to state. FIG. 10A and FIG. 10B are diagrams for explaining step S30 in FIG. It is a flowchart which shows the abnormal action detection process (the 2) of FIG. It is a flowchart which shows the abnormal action monitoring reference time update process of FIG. It is a flowchart which shows the abnormal action monitoring time calculation process of FIG. FIG. 14A is a diagram showing a power determination threshold value table, and FIG. 14B is a diagram showing a power consumption information table. It is a figure which shows an electric power waveform table. It is a figure which shows an abnormal action monitoring time calculation table. It is a figure which shows an abnormal action judgment occupation rate table. It is a figure which shows a lesson table. FIG. 19A is a diagram showing an abnormal action count (time) table, and FIG. 19B is a diagram showing an abnormal action count (class) table. FIG. 20A is a diagram showing an abnormal action time count table, and FIG. 20B is a diagram showing a power consumption amount table. It is a flowchart which shows the lesson evaluation determination process of FIG. It is a flowchart which shows the lesson total time calculation process of FIG. It is a flowchart which shows the calculation process of the completion judgment power consumption value of FIG. It is a flowchart which shows the calculation process of the lesson time correction value of FIG. Fig.25 (a) is a figure which shows a grade table, FIG.25 (b) is a figure which shows a lesson evaluation table. FIG. 26A and FIG. 26B are diagrams for explaining the processing of FIG. It is a flowchart which shows the lesson evaluation determination process which concerns on a modification. It is a flowchart which shows the lesson total time calculation process of FIG. It is a flowchart which shows the calculation process of the completion judgment power consumption value of FIG. It is a flowchart which shows the calculation process of the lesson time correction value of FIG.

  Hereinafter, an embodiment of a lesson evaluation system will be described in detail with reference to FIGS. FIG. 1 schematically shows a lesson evaluation system 100 including a lesson evaluation determination server 10 as a lesson evaluation determination device. The class evaluation system 100 includes a class evaluation determination server 10 and a power strip management device 70. The class evaluation determination server 10 and the power strip management device 70 are connected via a network 60 such as the Internet.

  A sensor 52 built in the power strip 50 is connected to the power strip management device 70. The sensor 52 detects a change in power consumption of the device connected to the power tap 50, for example, in units of 1 W, and the power tap management device 70 changes the power consumption of each of the student terminals 30 connected to the power tap 50. Manage.

  The student terminal 30 is a terminal used by a student (user) who takes a class at a school or the like. As shown in FIG. 2, the student terminal 30 includes a PC (Personal Computer) 40 and a display (hereinafter referred to as “LCD”) 80 such as an LCD (Liquid Crystal Display). As illustrated in FIG. 2, the PC 40 includes a processing unit 42, a power control unit 44, an operation detection unit 46, and a power supply unit 48. The processing unit 42 and the power supply control unit 44 are realized by the CPU of the PC 40 executing a program.

  The processing unit 42 executes a process to be executed on the PC. The power supply control unit 44 controls the power supply of the PC 40 based on the detection result of the operation detection unit 46. Here, the operation detection part 46 detects operation of a keyboard or a mouse. Therefore, the power control unit 44 changes the PC 40 from the power-on state (start-up state) to the standby state when the keyboard or mouse is not operated for a predetermined time (first time). Further, the power supply control unit 44 changes the power supply of the PC 40 to an on state (startup state) when a keyboard or mouse is operated from the standby state.

  The power supply unit 48 acquires power from the power tap 50 and supplies it to each unit of the PC 40, and supplies a part of the acquired power to the power supply unit 88 of the LCD 80.

  The LCD 80 includes a display unit 82, a power control unit 84, a human sensor 86, and a power supply unit 88.

  The display unit 82 displays information processed by the processing unit 42 of the PC 40. The power supply control unit 84 controls the power supply of the LCD 80 based on the detection result of the human sensor 86. Here, the human sensor 86 is a temperature sensor, an infrared sensor, or the like, and is a sensor that detects whether or not a person is present in front of the LCD 80. The power control unit 84 changes the LCD 80 from a power-on state (start-up state) to a standby state when the human sensor 86 does not detect a person continues for a second time shorter than the first time described above. To do. Further, the power supply control unit 44 changes the power supply of the LCD 80 to an ON state when the human sensor 86 detects a person when the LCD 80 is in a standby state. In the case where the LCD 80 is in the activated state, when the PC 40 changes from the activated state to the standby state, the power supply unit 88 changes the LCD 80 from the activated state to the standby state at the same time or almost simultaneously with the change of the PC 40 to the standby state. Change to

  The power supply unit 88 acquires power from the power tap 50 via the power supply unit 48 and supplies the acquired power to each unit of the LCD 80.

  Here, in the power supply control unit 44 and the power supply control unit 84, the time as shown in FIG. 3 is set as the standby time set value (first time, second time). That is, the power supply control unit 44 changes the PC 40 (and the LCD 80) to the standby state when the operation detection unit 46 does not detect the keyboard and mouse operations for 5 minutes (first time) from the state in which the PC 40 is activated. To do. Further, the power supply control unit 84 changes the LCD 80 to the standby state when the human sensor 86 does not detect a person for one minute (second time) from the state in which the LCD 80 is activated.

  Therefore, in this embodiment, normally, when the student is no longer in front of the student terminal 30 (LCD 80) (when the student leaves the seat), the LCD 80 first enters the standby state, and then the PC 40 enters the standby state. In this case, the change in power consumption in the student terminal 30 is as shown in FIG. On the other hand, if the student is in front of the student terminal 30, but the student does not operate the keyboard or mouse, the PC 40 is in a standby state and the LCD 80 is also in a standby state. In this case, the change in power consumption in the student terminal 30 is as shown in FIG.

  Next, the class evaluation determination server 10 in FIG. 1 will be described. The class evaluation determination server 10 is a server that executes processing for determining the evaluation of each class based on the power consumption value in the student terminal 30. FIG. 5 schematically shows the hardware configuration of the lesson evaluation determination server 10. As shown in FIG. 5, the class evaluation determination server 10 includes a CPU 90, a ROM 92, a RAM 94, a storage unit (HDD (Hard Disk Drive)) 96, a network interface 97, a portable storage medium drive 99, and the like. Each component of the lesson evaluation determination server 10 is connected to the bus 98. In the lesson evaluation determination server 10, the CPU 90 stores a program (lesson evaluation determination program) stored in the ROM 92 or the HDD 96 or a program (lesson evaluation determination program) read from the portable storage medium 91 by the portable storage medium drive 99. By executing the function, the function of each unit in FIG. 6 is realized.

  FIG. 6 shows a functional block diagram of the lesson evaluation determination server 10. As shown in FIG. 6, in the class evaluation determination server 10, the CPU 90 executes the class evaluation determination program, thereby realizing the functions as the abnormal behavior detection unit 150 and the class evaluation unit 152. FIG. 6 also shows various tables stored in the RAM 94, the HDD 96, and the like. Hereinafter, the abnormal behavior detection unit 150, the class evaluation unit 152, and various tables will be described.

(Abnormal Behavior Detection Unit 150)
The abnormal behavior detection unit 150 includes a power consumption information acquisition unit 20, a power data acquisition unit 22 as a power consumption status acquisition unit, a specification unit 24, a determination unit 26, a recording unit 28, and a setting unit 32.

  The power consumption information acquisition unit 20 determines the power consumption information 1 to 3 of each student terminal 30 based on the power determination threshold table 102 and stores it in the power consumption information table 104. The power determination threshold value table 102 is a table that prescribes the width in order to set a value having a predetermined width as the power consumption information 1 to 3. The power determination threshold value table 102 is a table as shown in FIG. 14A, and here, ± 3 W is defined as the width. The power consumption information table 104 is a table that defines values of the power consumption information 1 to 3 as shown in FIG. The power consumption information 1 to 3 means power consumption information for each state (starting state or standby state) of the student terminal 30, and details of the information will be described later.

  The power data acquisition unit 22 acquires the power consumed by each outlet (each student terminal 30) of the power strip 50 from the power strip management device 70 at a predetermined time interval (for example, every one minute), and the power waveform table 106 To store. As shown in FIG. 15, the power waveform table 106 is a table that stores power consumption of each student terminal 30 every predetermined time (for example, 1 minute).

  The specifying unit 24 specifies a student who may be performing an abnormal action based on the power consumption (power waveform table 106) of each student terminal 30 acquired by the power data acquiring unit 22. The determination unit 26 uses the power consumption of the student terminal 30 used by the student specified by the specifying unit 24 and another student who should take the same or equivalent action as the student (that is, a student taking the same class). When the power consumption of the student terminal 30 used by is in a state different from that of the student terminal 30, it is determined that the student specified by the specifying unit 24 is performing abnormal behavior. The specifying unit 24 and the determining unit 26 use the abnormal behavior monitoring time calculation table 108 in the above processing. In addition, the determination unit 26 uses the abnormal behavior determination occupation ratio table 110 in the above processing.

The abnormal behavior monitoring time calculation table 108 is a table used by the specifying unit 24 to determine the possibility of abnormal behavior of each student, or used by the setting unit 32 to calculate abnormal behavior monitoring time. . Specifically, as shown in FIG. 16, a portion (line A to F) for storing the time of abnormal behavior of each student (time during which behavior is different from that of other students) and the standby release time average A portion for storing an abnormal behavior monitoring reference time, an abnormal behavior monitoring time correction value, and an abnormal behavior monitoring time. Although the abnormal behavior monitoring time correction value and the abnormal behavior monitoring time are actually different values for each student, for convenience of illustration, only one (for example, student A) is shown in FIG. Yes. The abnormal behavior monitoring time is a time obtained by the following equation (1).
Abnormal behavior monitoring time = abnormal behavior monitoring reference time + abnormal behavior monitoring time correction value
... (1)

  The abnormal behavior determination occupancy ratio table 110 indicates how many students (occupancy ratio) have different behaviors from the students who may be performing abnormal behavior among the students around the students who may be performing abnormal behavior. If it is taken, it is a table which determines whether it determines with abnormal behavior being actually performed. Specifically, the abnormal behavior determination occupancy rate table 110 is a table as shown in FIG. 17, and the occupancy rate is determined according to the number of past abnormal behaviors.

  The recording unit 28 totals the time during which each student was performing abnormal behavior during the lesson time, and stores it in the abnormal behavior time count table 118. Further, the recording unit 28 stores the power consumption amount during the class time of each student terminal 30 in the power consumption amount table 120. As shown in FIG. 20A, the abnormal action time count table 118 is a table that stores abnormal action times for each class (for each class ID) and for each student (for each individual ID). As shown in FIG. 20B, the power consumption amount table 120 is a table that stores the power consumption amount for each class (for each class ID and the number of classes) and for each student (for each individual ID).

  The setting unit 32 sets the abnormal action monitoring reference time and the abnormal action monitoring time based on the lesson table 112, the abnormal action number (time zone) table 114, the abnormal action number (class) table 116, and the grade table 122.

  The lesson table 112 stores information on each lesson and abnormal behavior monitoring reference time in each lesson. Specifically, the lesson table 112 is a table as shown in FIG. In the class table 112 of FIG. 18, the class ID, time limit, day of the week, class name, and class time of each class are defined as information of each class.

  As shown in FIG. 19A, the abnormal action count (time slot) table 114 includes a time slot, the abnormal action count, and the number of class participants. Further, the abnormal action number (class) table 116 includes a class ID, the number of abnormal actions, and the number of class participants as shown in FIG. Note that the tables in FIGS. 19A and 19B are tables created for each student. The grade table 122 will be described later.

(Class Evaluation Unit 152)
Returning to FIG. 6, the class evaluation unit 152 includes a class evaluation determination unit 34 and an output unit 36.

  The class evaluation determination unit 34 determines class evaluation for each class using the abnormal action time count table 118, the power consumption amount table 120, the class table 112, and the grade table 122, and stores the class evaluation in the class evaluation table 124. Here, as shown in FIG. 25A, the grade table 122 stores the grade (deviation value) for each class for each class (for each class ID) and for each student (for each individual ID). The class evaluation table 124 stores, for each class (each class ID), an implementation date (date) of the class, a class evaluation value, a rank, and a class evaluation result based on the rank.

  The output unit 36 acquires information from the class evaluation table 124 and performs output processing (display on a display, printout, etc.).

  Next, the process of the lesson evaluation determination server 10 will be described. FIG. 7 shows a process of the lesson evaluation determination server 10 in a flowchart. The class evaluation determination server 10 starts the process of FIG. 7 from the time when the first class of the day starts.

  In FIG. 7, the abnormal behavior detection unit 150 performs the abnormal behavior detection process (part 1) in step S1000, the abnormal behavior detection process (step 2) in step S1100, the abnormal behavior monitoring reference time update process in step S1200, and the abnormality in step S1300. The action monitoring time calculation process is executed in parallel. And when one lesson is complete | finished, it transfers to step S2000.

  If transfering it to step S2000, the abnormal action detection part 150 will judge whether all the classes of one day were complete | finished. If the determination here is negative, the abnormal behavior detection unit 150 executes steps S1000, S1100, S1200, and S1300 again. If the determination in step S2000 is positive, the process proceeds to step S3000. To do.

  If transfering to step S3000, the lesson evaluation part 152 will perform lesson evaluation determination processing. Then, at the stage where step S3000 is completed, all the processes in FIG. 7 are completed.

  Hereinafter, each process of steps S1000 to S1300 and S3000 will be described in detail.

(Abnormal Behavior Detection Processing (Part 1) (S1000))
FIG. 8 shows a flowchart of the abnormal behavior detection process (No. 1) in step S1000. The abnormal behavior detection process (part 1) in FIG. 8 is a process of detecting abnormal behavior (such as dozing) of the student during the class and counting the abnormal behavior time. As a premise that this processing is performed, it is assumed that each student who takes a lesson logs in to each student terminal 30 with a user ID, a password, or the like. In other words, each student and the student terminal 30 are associated with each other.

  In the process of FIG. 8, first, in step S10, the power consumption information acquisition unit 20 uses the power consumption information 1 as the power consumption information 1, and the range of the power consumption value ± power determination threshold when both the PC 40 and the LCD 80 are operating (started up). Is stored. Specifically, the power consumption information acquisition unit 20 acquires the measurement result (power consumption value) of each sensor 52 in a state where both the PC 40 and the LCD 80 are operating. Moreover, the power consumption information acquisition unit 20 acquires a power determination threshold value (here, ± 3 W) from the power determination threshold value table 102 illustrated in FIG. And the power consumption information acquisition part 20 stores the range calculated | required from the measurement result of the sensor 52, and a power determination threshold value in the column of the "power consumption information 1" of the power consumption information table 104 of FIG.14 (b). For example, when the measurement result of the sensor 52 is the value of “when starting” (100 W) in FIG. 9, the power consumption information acquisition unit 20 displays the “power consumption information 1” column of the power consumption information table 104. 97W to 103W are stored in (see FIG. 14B).

  Next, in step S <b> 12, the power consumption information acquisition unit 20 stores, as power consumption information 2, a range of power consumption value ± power determination threshold when only the PC 40 is operating. In this case, the power consumption information acquisition unit 20 performs the same process as in step S10. For example, when the measurement result of the sensor 52 is the value (85 W) of “LCD standby” in FIG. 9, the power consumption information acquisition unit 20 stores “power consumption information 2” in the power consumption information table 104. 82W to 88W are stored in the column (see FIG. 14B).

  Next, in step S <b> 14, the power consumption information acquisition unit 20 stores, as power consumption information 3, a range of power consumption value ± power determination threshold when the PC 40 and the LCD 80 are in a standby state. In this case, the power consumption information acquisition unit 20 performs the same processing as steps S10 and S12. For example, when the measurement result of the sensor 52 is the value (10 W) of “PC standby” in FIG. 9, the power consumption information acquisition unit 20 stores “power consumption information 3” in the power consumption information table 104. 7W to 13W is stored in the column (see FIG. 14B).

  Since the processing in steps S10 to S14 is performed for all outlets (all student terminals 30), the power consumption information table 104 in FIG. 14B is generated for each outlet (student terminal 30). Will be.

  Next, in step S <b> 16, the power data acquisition unit 22 acquires the power consumption of all student terminals 30 in the classroom at a certain period and stores it in the power waveform table 106 of FIG. 15. That is, in step S16, it can be said that the consumption state of the electric energy in each student terminal 30 is acquired. In the example of FIG. 15, the power consumption of the six student terminals 30 (reference characters A to F) is acquired at 1-minute intervals.

  Next, in step S18, the specifying unit 24 determines whether there is a student terminal 30 whose power consumption is within the range of the power consumption information 3 (7W to 13W). For example, at 8:01 in FIG. 15, the power consumption of all terminals is 100 W, so the determination here is denied. On the other hand, at 8:02 in FIG. 15, since the power consumption of the terminal (D) is 10 W, the determination here is affirmed. If the determination in step S18 is negative, the process proceeds to step S38 to determine whether or not the class has ended. If the determination here is negative (if the class continues), step S16 is performed. Return to. On the other hand, if the determination in step S18 is affirmative, the process proceeds to step S20.

  If transfering it to step S20, the specific | specification part 24 will have the terminal 30 for students whose power consumption information 1 (97W-100W) is the last value of the power consumption information 3 (power consumption before becoming the power consumption information 3). Determine whether. In the case of 8:02 in FIG. 15, since the previous value (value of 8: 1) of the terminal (D) is 100 W, the determination here is affirmed. On the other hand, if the state is 8: 7, the previous value (value of 8: 6) of the terminal (A) is 85 W, so the determination here is denied. If the determination in step S20 is affirmed, the process proceeds to step S22. If the determination is negative, the process proceeds to step S38. In addition, when determination of step S20 is affirmed, it is a case where the change of power consumption as shown in FIG.4 (b) is shown, and it means that the student may be asleep. On the other hand, if the determination in step S20 is negative, it indicates a change in power consumption as shown in FIG. 4 (a), which means that the student has left (the absence is the current detection). Different from the subject's abnormal behavior).

  In the process of FIG. 8, when the process proceeds to step S22, the specifying unit 24 acquires the time that is the power consumption information 3 after the power consumption information 1, and stores it in the abnormal action monitoring time calculation table 108 as the standby release time. To do. Here, in the abnormal action monitoring time calculation table 108 of FIG. 16, the standby release time is stored in seconds. For example, in the example of FIG. 16, 60 seconds is stored in the 8: 2: 3 column of the terminal (D), or 60 seconds is stored in the 8: 8, 9 minute column of the terminal (B). Or stored.

  Next, in step S28, the specifying unit 24 determines whether or not the standby release time is longer than the abnormal behavior monitoring time. Here, the abnormal behavior monitoring time is the time described in the lowermost part of FIG. 16, and when the standby release time of a student is longer than the abnormal behavior monitoring time, the student is performing abnormal behavior. It means that there is a possibility. As described above, the abnormal behavior monitoring time is different for each student, but here, for convenience of explanation, the abnormal behavior monitoring time is a time common to all students (abnormal behavior monitoring time in FIG. 16). It will be explained as a thing.

  If the determination in step S28 is affirmative, that is, if it is determined that there is a possibility that the student is performing abnormal behavior, the process proceeds to step S29. On the other hand, if the determination in step S28 is negative, that is, if it is determined that there is no possibility that the student is performing abnormal behavior, the process proceeds to step S34. When the process proceeds to step S29, the identifying unit 24 identifies a student (student terminal 30) that may be performing an abnormal action, and proceeds to the next step S30.

  When the process proceeds to step S30, the determination unit 26 obtains power consumption information of all peripheral student terminals 30 of the student (student terminal 30) that may be performing the abnormal behavior specified in step S29. Then, the occupation ratio of the power consumption information 1 is obtained. Here, as shown in FIG. 10A, the terminal (D) continues to be detected by the human sensor 86, while the operation detection unit 46 no longer detects the operation, and 5 minutes after the detection is lost. The power consumption is changed from 100 W to 10 W later (after the second time has elapsed). That is, the process of step S30 is a process for obtaining the ratio of terminals showing a change in power consumption as shown in FIG.

  For example, at a time (8:13, 14 minutes) at which a student using the terminal (D) in FIG. 15 may be performing an abnormal behavior, the power consumption of other terminals is 100 W (power consumption information 1 ), The occupation ratio is 100%. On the other hand, at the time (8: 18-25) when the student using the terminal (A) in FIG. 15 may be performing abnormal behavior, only the power consumption of one terminal of the peripheral terminal is 100 W (consumption). Since the power information is 1), the occupation ratio is 1/5 = 20%.

  Next, in step S <b> 32, the determination unit 26 determines whether the occupation rate of the power consumption information 1 is greater than the abnormal behavior determination occupation rate. Here, as shown in the abnormal behavior determination occupation ratio table 110 of FIG. 17, the abnormal behavior determination occupation ratio varies depending on the number of past abnormal behaviors of each student. For example, for the terminal (D), when no abnormal behavior has been detected in the past, the abnormal behavior determination occupancy rate is 100%. On the other hand, when the number of times abnormal behavior has been detected in the past is the third time or the fifth time or more, the abnormal behavior determination occupancy is as low as 90% or 80%. In this way, it is easier to detect abnormal behaviors of students with a higher number of abnormal behaviors by lowering the abnormal behavior judgment occupancy rate according to the increase in the number of abnormal behaviors (increase monitoring as the number of abnormal behaviors increases). Can do.

  If the determination in step S32 is affirmative, that is, it is possible to determine that the power consumption information of a terminal that may be performing an abnormal action is different from that of many nearby terminals and that the terminal is performing an abnormal action. If so, the process proceeds to step S36. On the other hand, if the determination in step S32 is negative, that is, if there is a low possibility that a terminal that may be performing an abnormal action is actually performing an abnormal action, the process proceeds to step S38.

  When the determination in step S32 is affirmed and the process proceeds to step S36, the determination unit 26 determines that the student using the student terminal 30 that has detected the power consumption information 3 is performing an abnormal action, and determines the abnormal action time. Count. Then, the recording unit 28 adds the abnormal behavior time counted to the abnormal behavior time of the student who has been performing the abnormal behavior in the abnormal behavior time count table 118 of FIG. Thereafter, the process proceeds to step S38.

  On the other hand, when the determination in step S28 is negative (when it is determined that there is no abnormal action), in step S34, the setting unit 32 sets the abnormal action monitoring reference time using the standby release time. The “standby release time” in step S34 is the time required for a student who has not performed an abnormal action to release the standby of the student terminal 30 (the time required from the time when the student terminal 30 enters the standby state until the mouse is operated). ).

  For example, as shown in FIG. 16 at 8: 4, when the abnormal behavior monitoring reference time up to that time is 180 seconds and the current standby release time is 120 seconds, the average value thereof is used. Let (180 + 120) / 2 = 150 seconds be the new abnormal behavior monitoring reference time. Here, 180 seconds means the abnormal behavior monitoring reference time in the same lesson last time. This abnormal behavior monitoring reference time is stored in the lesson table 112 of FIG. In addition, when there is no value in the lesson table 112 of FIG. 18, it is good also as using the standby time setting value (in FIG. 3, 5 minutes) of PC40. On the other hand, as shown in FIG. 16 at 8:25, when the abnormal behavior monitoring reference time up to that time is 150 seconds and the current standby release time is 60 seconds, the average value thereof is used. Let (150 + 60) / 2 = 105 seconds be the new abnormal behavior monitoring reference time. Thereafter, the process proceeds to step S38. A predetermined time (for example, 60 seconds) may be set as the lower limit value of the abnormal behavior monitoring reference time.

  In step S38, the power data acquisition unit 22 determines whether or not the class end time has come. If the determination is negative, the process returns to step S16 and the above-described processing is repeated. On the other hand, if the determination in step S38 is affirmative, the process proceeds to step S40.

  When the process proceeds to step S <b> 40, the recording unit 28 acquires the power consumption amount during movement of each terminal from the power tap management device 70 and stores it in the power consumption amount table 120. When the process of step S40 ends, the entire process of FIG. 8 ends.

  By performing the above processing, the abnormal behavior (sleeping here) of the student using the student terminal 30 is detected, the abnormal behavior time is counted, and the power consumption for each class of each student terminal 30 is acquired. can do. Also, the abnormal behavior monitoring reference time can be changed based on the standby release time. In the table of FIG. 16, abnormal behavior is detected at 8:07 and 8 minutes of the terminal (B) and at 8:13 and 14 minutes of the terminal (D).

(Abnormal Behavior Detection Process (Part 2) (S1100))
Next, the abnormal behavior detection process (No. 2) in step S1100 will be described with reference to the flowchart of FIG. The abnormal behavior detection process (part 2) in FIG. 11 is a process of detecting abnormal behavior of a student (such as a game on the student terminal 30) during the class and counting the abnormal behavior time. In FIG. 11, steps corresponding to the steps in the flowchart of FIG. 8 are indicated by adding step numbers obtained by adding 100 to the step numbers of FIG. 8.

  In the process of FIG. 11, the processes from step S110 to S116 are performed in the same manner as steps S10 to S16 in FIG. If steps S10 to S14 have already been performed, the processes of steps S110 to S114 may be omitted. On the other hand, when steps S110 to S114 have already been performed, the processes of steps S10 to S14 in FIG. 8 may be omitted.

  In steps S118 to S122 in FIG. 11, unlike the steps S18 to S22 in FIG. 8, the time when the student terminal 30 whose power consumption information has changed from 3 to 1 continues the power consumption information 1 is referred to as “terminal operation time”. To do.

  In step S128, the specifying unit 24 determines whether the terminal operation time is longer than the abnormal behavior monitoring time. When the determination here is affirmed, the specifying unit 24 specifies a student who is performing abnormal behavior in step S129, and proceeds to step S130. In step S <b> 130, the determination unit 26 acquires the power consumption information of the student terminals 30 around the student and obtains the occupation ratio of the power consumption information 3. Furthermore, in step S132, the determination unit 26 determines whether or not the occupation rate of the power consumption information 3 is greater than the abnormal behavior determination occupation rate (see FIG. 17).

  If the determination in step S132 is affirmed, the determination unit 26 indicates that the student of the student terminal 30 that has detected the power consumption information 1 is performing an abnormal behavior (other students are not operating the student terminal). However, it continues to operate the student terminal) and the abnormal action time is counted. Then, the recording unit 28 adds the abnormal behavior time counted to the abnormal behavior time of the student who has been performing the abnormal behavior in the abnormal behavior time count table 118 of FIG. Thereafter, the process proceeds to step S138, and if the lesson has not ended, the process returns to step S116, and when the lesson ends, all the processes in FIG. 11 are ended. In the example of FIGS. 15 and 16, it is determined that the student using the terminal (C) is performing an abnormal behavior at 8:19.

  With the process of FIG. 11, the abnormal behavior of the student using the student terminal 30 (here, a game on the student terminal 30) can be detected, and the abnormal behavior time of each student is counted. Can do.

  In addition, in the process of FIG. 11, it is good also as determination of abnormal action in the terminal 30 for students based on a teacher's utterance timing with the determination of step S132 or instead of this. In this case, a voice recognition sensor for recognizing the teacher's voice is provided in the vicinity of the teacher, and the determination unit 26 recognizes the voice of the teacher at the time when the power consumption information 1 is detected by the student terminal 30. Get whether or not. Then, when the teacher's voice is detected for a long time at the time, the determination unit 26 determines that an abnormal action has been performed on the student terminal 30 that has detected the power consumption information 1. By doing in this way, it becomes possible to detect abnormal behavior (games etc.) in the class appropriately.

  In the process of FIG. 11, the same process as the process of step S34 and step S40 of FIG. 8 is not performed.

(Regarding the abnormal behavior monitoring reference time update process (S1200))
Next, the abnormal behavior monitoring reference time update process will be described with reference to the flowchart of FIG. This processing is processing performed by the setting unit 32 in FIG. In the process of FIG. 12, first, in step S52, the setting unit 32 determines whether or not an abnormal behavior has been detected for a predetermined time (for example, 10 minutes) or more after detecting the previous abnormal behavior. If the determination here is affirmed, the process proceeds to step S54, and the setting unit 32 increases the abnormal behavior monitoring reference time by 10% and stores it in the abnormal behavior monitoring time calculation table 108.

  Next, in step S56, the setting unit 32 determines whether or not the class end time has come. If the determination here is negative, the process returns to step S52, but if the determination in step S56 is positive, the process proceeds to step S58. In step S58, the setting unit 32 registers the abnormal action monitoring reference time at the class end time as the next value of the abnormal action monitoring reference time of the completed class in the class table 112. Note that the end time of each class can be found from the time limit of the class table of FIG. 18 (the start time and end time of the period are defined separately).

  As described above, the abnormal behavior monitoring reference time can be increased as the time during which abnormal behavior is not detected becomes longer. In addition, since the setting unit 32 registers the next value of the abnormal behavior monitoring reference time in the lesson table 112, the specifying unit 24 can continue to use the abnormal behavior monitoring reference time for each class.

(About Abnormal Behavior Monitoring Time Calculation Processing (S1300))
Next, the abnormal behavior monitoring time calculation process will be described with reference to the flowchart of FIG. This processing is processing performed by the setting unit 32 in FIG. Note that the process of FIG. 13 is a process executed in parallel with other processes, for example, a process performed every predetermined time. Moreover, the process of FIG. 13 is a process performed for every student.

  In the process of FIG. 13, first, student grade information is obtained from the grade table 122 in step S <b> 60. Next, in step S62, the setting unit 32 determines whether the acquired score is equal to or higher than the average score (whether the deviation value is 50 or higher). When judgment here is affirmed, it transfers to step S64.

  In step S64, the setting unit 32 resets (sets to the initial value) the abnormal behavior monitoring time correction value. In the next step S72, the setting unit 32 calculates the abnormal behavior monitoring time using the reset abnormal behavior monitoring time correction value. More specifically, the setting unit 32 calculates the abnormal behavior monitoring time from the sum of the abnormal behavior monitoring reference time and the abnormal behavior monitoring time correction value (initial value) based on the above equation (1). Then, the setting unit 32 stores the abnormal behavior monitoring time correction value and the calculated abnormal behavior monitoring time in the abnormal behavior monitoring time calculation table 108 of FIG.

  On the other hand, if the determination in step S62 is negative, that is, if the student's grade is lower than the average score, the process proceeds to step S66. In step S66, the setting unit 32 counts the number of abnormal behaviors detected per time slot for each student, and stores it in the abnormal behavior count (time slot) table 114 of FIG. Next, in step S68, the setting unit 32 counts the number of abnormal behaviors detected per class for each student and stores it in the abnormal behavior number (class) table 116 of FIG.

  Next, in step S70, the setting unit 32 sets the abnormal behavior monitoring time correction value so that the monitoring time is shortened for each student when there are many abnormal behaviors. Specifically, the abnormal behavior monitoring time correction value is set as follows.

  First, the setting unit 32 calculates the abnormal action ratio c for each time period. Specifically, from FIG. 19A, the ratio of the 8 o'clock range is 3/6 = 0.5, the ratio of the 9 o'clock range is 0/6 = 0, and the ratio of the 10 o'clock range is 2/6 = 0. The ratio of 13:00 to 13:00 is 1/6 = 0.17.

  Next, the setting unit 32 calculates the abnormal action ratio e for each class. Specifically, from FIG. 19B, the ratio of class ID = 1 (Japanese history (see FIG. 18)) is 3/6 = 0.5, and the ratio of class ID = 2 (world history) is 2/6. = 0.33, the ratio of class ID = 3 (Japanese) is 2/6 = 0.33, the ratio of class ID = 4 (English) is 0/6 = 0, and so on.

Then, the setting unit 32 calculates the abnormal behavior monitoring reference time correction value b (abnormal behavior monitoring reference time / 2 <b <0) based on the following equation (2). In the following equation (2), the abnormal action monitoring reference time is a.
b = − {a / 2 × ((c + e) / 2)} (2)

  Here, ((c + e) / 2) represents the average of c and e. For example, in a Japanese history class at 8 o'clock, ((c + e) / 2) becomes {(2/6) + (2/6)} / 2 = 2/6. When ((c + e) / 2) exceeds 1, it is assumed that ((c + e) / 2) = 1.

Therefore, for example, in the case of a Japanese history class at 8 o'clock, if the abnormal behavior monitoring reference time a = 180 (FIG. 18),
b = − (180/2 × (2/6)) = − 30
It becomes.

Then, the setting unit 32 sets the abnormal behavior monitoring time based on the above equation (1).
Abnormal behavior monitoring time = 180 + (− 30) = 150 (seconds)
And calculate.

  As described above, by performing the processing of FIG. 13, the abnormal behavior monitoring time for each student can be calculated and set so as to decrease as the abnormal behavior increases. As a result, it is possible to set an appropriate abnormal behavior monitoring time for each student, and thus it is possible to appropriately detect the abnormal behavior of the student.

(About class evaluation decision processing (S3000))
Next, the class evaluation determination process in step S3000 will be described along the flowchart of FIG. The class evaluation determination process in FIG. 21 is a process of extracting a part of students who have taken a class (students suitable for class evaluation) and determining class evaluation from the behavior of the students. In this embodiment, the class evaluation determination process is performed when all classes in one day are completed. However, the present invention is not limited to this, and may be performed at various timings such as one week, one month, or every semester. Is possible.

  In the process of FIG. 21, first, in step S300, the lesson evaluation determination unit 34 executes a lesson total time calculation process. Specifically, the lesson evaluation determination unit 34 performs processing according to the flowchart of FIG.

  In the process of FIG. 22, first, in step S320, the class evaluation determination unit 34 acquires the power consumption amount and deviation value information for each student in a certain class (here, class ID = 1). In this case, the class evaluation determination unit 34 acquires the power consumption amount from the power consumption amount table 120, and acquires deviation value information from the results table 122.

  Next, in step S322, the class evaluation determination unit 34 executes a process for calculating a completion determination power consumption value. In this case, the lesson evaluation determination unit 34 executes processing according to the flowchart of FIG.

  In the process of FIG. 23, first, in step S350, the class evaluation determination unit 34 acquires the power consumption amounts of a plurality of students with few abnormal behaviors. Specifically, the class evaluation determination unit 34 extracts, for example, two students (individual ID = B, E) as students with few abnormal behaviors from the abnormal behavior time count table 118 in FIG. Then, the lesson evaluation decision portion 34 shows the power consumption amount of each student (the power consumption amount 69 (W · h) of the student B and the power consumption amount 61 (W · h) of the student E) from the power consumption amount table 120. get. Note that three or more students may be extracted as students with few abnormal behaviors.

  Next, in step S352, the lesson evaluation determination unit 34 acquires the maximum power consumption and the minimum power consumption. Here, the maximum power consumption is 69 (W · h), and the minimum power consumption is 61 (W · h) (see FIG. 26A).

  Next, in step S354, the lesson evaluation determining unit 34 executes a lesson time correction value calculation process. In this step S354, the lesson evaluation determining unit 34 executes processing according to the flowchart of FIG.

  In the process of FIG. 24, first, in step S370, the class evaluation determination unit 34 acquires class time. In this case, the class evaluation determination unit 34 acquires the class time corresponding to the class (here, the class time (90 minutes) corresponding to class ID = 1) from the class table 112 of FIG.

  Next, in step S372, the class evaluation determination unit 34 determines whether the class time is 60 minutes or less. When judgment here is affirmed, it transfers to step S376. On the other hand, if the determination in step S372 is negative, the process proceeds to step S374, and it is determined whether the lesson time is longer than 60 minutes and shorter than 120 minutes. If the determination here is affirmed, the process proceeds to step S378, and if the determination is negative, the process proceeds to step S380. If the lesson time is 90 minutes, the determination in step S372 is denied and the determination in step S374 is affirmed, and the process proceeds to step S378.

  In addition, when transfering to step S376, the lesson evaluation determination part 34 sets a lesson time correction value to 5%. When the process proceeds to step S378, the class evaluation determination unit 34 sets the class time correction value to 10%. Further, in step S380, the class evaluation determination unit 34 sets the class time correction value to 15%. If the lesson time is 90 minutes, the lesson time correction value is set to 10% in step S378.

  When the process of FIG. 24 (the process of step S354) is completed as described above, the process returns to FIG. 23, and the class evaluation determining unit 34 proceeds to the process of step S356. In addition, by performing the process of FIG. 24, it is possible to set the lesson time correction value according to the length of the lesson time.

If it transfers to step S356 of FIG. 23, the lesson evaluation determination part 34 will calculate the maximum value of completion determination power consumption. Specifically, the class evaluation determination unit 34 calculates the maximum value of the completion determination power consumption based on the following equation (3).
Completion judgment power consumption maximum value = Maximum power consumption value + (Maximum power consumption value x Lesson time correction value) (3)

  In the example of FIG. 26A, the maximum value of completion determination power consumption = 69 + (69 × 0.1) = 75.9 (W · h).

Next, when the process proceeds to step S358, the class evaluation determining unit 34 calculates the minimum value of the completion determination power consumption. Specifically, the class evaluation determining unit 34 calculates the minimum value of the completion determination power consumption based on the following equation (4).
Completion judgment minimum power consumption = minimum power consumption-(minimum power consumption x lesson time correction value) (4)

  In the example of FIG. 26A, the minimum value of the completion determination power consumption = 61− (61 × 0.1) = 54.9 (W · h).

  When the process of FIG. 23 (step S322 (completion determination power consumption value calculation process)) is completed as described above, the process returns to FIG. 22, and the class evaluation determination unit 34 proceeds to the process of step S324.

  In step S324, the class evaluation determination unit 34 extracts one unextracted student. Here, for example, it is assumed that the class evaluation determination unit 34 has extracted the student A.

  Next, in step S326, the class evaluation determining unit 34 determines that the extracted student power consumption is within the range of the completion determination power consumption (between the minimum value of the completion determination power consumption and the maximum value of the completion determination power consumption). Value). For example, in the case of student A, as shown in FIG. 20A, the power consumption is 42 (W · h), the completion determination power consumption minimum value (54.9 (W · h)) and the completion judgment power consumption. It is out of the range of the maximum value (75.9 (W · h)). Therefore, in this case, the determination in step S326 is denied, and in step S332, the lesson evaluation determination unit 34 determines that the course has not been completed, and then proceeds to step S334. The process in which the determination in step S326 is denied, and the process of determining that the student is incomplete in step S324 is for students who use the student terminal 30 whose power consumption during the class is different from the other student terminals 30. It can be said that the process is to be specified.

  In step S334, it is determined whether all students have been extracted. When judgment here is denied, it returns to step S324.

  Next, in step S324, the class evaluation determination unit 34 extracts one unextracted student (referred to as student B). Next, in step S326, the class evaluation determination unit 34 determines whether or not the extracted student power consumption is within the range of the completion determination power consumption. In the case of student B, since the amount of power consumption is 69 (W · h) (see FIG. 20B), the determination in step S326 is affirmed, and the process proceeds to step S327. In addition, it can be said that the student whose determination in step S326 is affirmative is a student (non-specific student) other than the student specified in step S324 (unfinished student).

  If transfering it to step S327, the lesson evaluation determination part 34 will acquire the deviation value of the student extracted by step S324 from the deviation value acquired by step S320. Next, in step S328, the class evaluation determining unit 34 determines whether or not the extracted deviation value of the student is higher than a predetermined completion determination deviation value. In the present embodiment, it is assumed that “50” is predetermined as the completion determination deviation value. In the case of student B, the deviation value is 60 from the result table 122 (FIG. 25A), so the determination in step S328 is affirmed and the process proceeds to step S330.

  In step S330, the class evaluation determination unit 34 determines that the extracted student is completed. A student who is judged to have completed can be said to be a student whose grade is not less than a predetermined value among the above-mentioned non-specific students (students other than uncompleted students). On the other hand, if the determination in step S328 is negative, in step S332, the lesson evaluation determination unit 34 determines that the extracted student has not been completed.

  In step S334, the class evaluation determination unit 34 determines whether all students have been extracted. When judgment here is denied, it returns to step S324. Thereafter, the processes and determinations in steps S324 to S332 are repeatedly executed until the determination in step S334 is affirmed. In addition, the result of completion of students A to F is as shown in FIG. Here, the student A is not completed because the power consumption is outside the range of the completion determination power consumption, and the student D is not completed because the deviation value is the same as the completion determination deviation value.

  When the determination in step S334 is affirmed and the process proceeds to step S336, the class evaluation determination unit 34 calculates the total class time. In this case, the total class time means the total attendance time of the students who have completed the course. In the case of FIG. 26B, since four students have completed, the total class time is 90 (min) × 4 (person) × 60 (sec) = 21600 (sec).

  Next, in step S338, the class evaluation determination unit 34 calculates the total abnormal action time. The abnormal action total time in this case means the total of the abnormal action time of the person who completed the class. In the case of FIG. 26B, 30 + 90 + 60 + 150 = 330 (sec) from the abnormal action time count table 118 of FIG.

  When the process of FIG. 22 (step S300 (total lesson time calculation process)) is completed as described above, the process returns to FIG. 21, and the lesson evaluation determination unit 34 proceeds to the process of step S301.

  In step S301, the class evaluation determination unit 34 determines whether or not the class total time calculation process has been executed for all classes (for example, all classes per day). If the determination is negative, step S300 is executed again. On the other hand, if the determination in step S301 is affirmed, the process proceeds to step S302.

If transfering to step S302, the lesson evaluation determination part 34 will calculate the lesson evaluation value per lesson. In addition, the lesson evaluation determination part 34 calculates a lesson evaluation value from following Formula (5).
Class evaluation value = (total class time-total abnormal behavior time) / total class time (5)

  Therefore, in the example described above (class ID = 1), the class evaluation value is (21600−330) /21600≈0.98.

  Next, in step S304, the class evaluation determination unit 34 ranks the class evaluation values. For example, when lesson evaluation values as shown in FIG. 25B are obtained in step S302, the rankings are given in descending order of the values.

  Next, in step S305, one lesson that has not been extracted is extracted. In the next step S306, the class evaluation determination unit 34 determines whether the extracted class ranking is within 1/3 from the top. In the case of FIG. 25B, it is determined whether the rank is within the second rank. When judgment here is affirmed, it transfers to step S310. On the other hand, if the determination in step S306 is negative, the process proceeds to step S308.

  If transfering it to step S308, the lesson evaluation determination part 34 will judge whether the ranking of the extracted lesson is less than 2/3 from a high rank. That is, in the case of FIG. 25B, it is determined whether the ranking is within 4th place. If the determination is affirmed, the process proceeds to step S312. If the determination is negative, the process proceeds to step S314.

  When the process proceeds to step S310, the class evaluation determination unit 34 determines that the evaluation is high, and inputs “high evaluation” in the result column of the class evaluation table 124. When the process proceeds to step S <b> 312, the lesson evaluation determination unit 34 determines that effort is required and inputs “requires effort” in the result column of the lesson evaluation table 124. When the process proceeds to step S314, the class evaluation determination unit 34 determines that improvement is necessary, and inputs “improvement is necessary” in the result column of the class evaluation table 124.

  Then, when the process proceeds to step S315, the class evaluation determination unit 34 determines whether or not extraction of all classes has been completed. If the determination is negative, the process returns to step S305, and the above-described processing is repeated. If the determination in step S315 is affirmative, the process proceeds to step S316.

  In step S316, the output unit 36 performs determination result output processing (screen display, printout, and the like). The output results can be viewed by school managers, grade heads, class teachers, etc. Thereby, the teacher in charge of the class can improve the class based on the output result. By performing the above processing, all the processing in FIG. 21 is completed.

  As can be seen from the above description, the lesson evaluation determination unit of the present embodiment has functions as a specification unit, a time acquisition unit, a determination unit, and a grade acquisition unit.

  As described above in detail, according to the present embodiment, the abnormal behavior detection unit 150 acquires the power consumption of the student terminal 30 used by each student taking a class (S40), and the class The evaluation determination unit 34 uses a student terminal 30 (a terminal outside the range of power consumption for completion determination) among the student terminals 30 that has different power consumption during the class, or the deviation value is completed. Students who are lower than the judgment deviation value are determined to have not completed (S326, S328, S330). Then, the class evaluation determination unit 34 acquires the class time and the time when the abnormal behavior was performed during the class in the student terminal 30 used by students other than the uncompleted students (completed students) (S336, S338). ), The ratio of the abnormal behavior time (total abnormal behavior time) in the student terminal 30 of the completed student to the total class time calculated from the product of the class time and the number of students completed (class evaluation value) Based on this, the evaluation of the lesson is determined (S302 to S315). In other words, in the present embodiment, students who have received proper classes are extracted based on the power consumption values and grades (deviation values) during the class, and abnormalities of students who have received these classes are appropriate. The class can be evaluated based on the action time. Thereby, in this embodiment, it becomes possible to perform an appropriate class evaluation automatically based on the behavior of the student suitable for class evaluation.

  In the present embodiment, a sensor 52 that can detect the power consumption in units of outlets included in the power tap 50 is employed as a sensor that detects power consumption. Therefore, by using the power tap as described above, it is not necessary to prepare / install a sensor separately. Thereby, complication of wiring and the like can be suppressed. Further, the power strip 50 having the sensor 52 can be used for other purposes (such as visualization of power consumption). Therefore, in a school or the like where the power tap 50 has already been deployed for another use, the class evaluation system 100 can be introduced simply and at low cost.

(Modification)
Hereinafter, a modified example will be described using the flowcharts of FIGS. In FIGS. 27 to 30, processes and judgments different from the flowcharts of FIGS. 21 to 24 are indicated by bold lines, and step numbers are changed.

  In the process of FIG. 27, the process of FIG. 28 is executed in the class total time calculation process of step S300. In the process of FIG. 28, after step S320, the process of FIG. 29 is executed in step S322.

  In the process of FIG. 29, in step S350, the lesson evaluation determining unit 34 acquires the power consumption of a plurality of students with few abnormal behaviors, and then calculates the average value of the acquired power consumption in step S602. For example, in the case of FIG. 26 (a), 69 W · h of student B and 61 W · h of student E are acquired as the power consumption of the student with little abnormal behavior, and the average value thereof is (69 + 61) / 2 = 65 W · h is calculated.

Next, in step S604, the lesson evaluation determination unit 34 executes a process for calculating a lesson time correction value. In this case, the class evaluation determining unit 34 sets a standard class time in step S702 of FIG. For example, 120 minutes can be set as the standard lesson time. Next, in step S704, the lesson time ratio is calculated based on the following equation (6).
Lesson time ratio = lesson time / standard lesson time x 100 (%) (6)
For example, if the class time is 90 minutes, 90/120 × 100 = 75 (%) is calculated as the class time ratio.

  Next, in step S706, the class evaluation determination unit 34 determines whether the class time ratio is 40% or less. When judgment here is affirmed, it transfers to step S376. On the other hand, if the determination in step S706 is negative, the process proceeds to step S708.

  If transfering it to step S708, the lesson evaluation determination part 34 will judge whether a lesson time ratio is larger than 40% and is 80% or less. If the determination here is affirmed, the process proceeds to step S378, and if the determination is negative, the process proceeds to step S380.

  Note that the processes in steps S376, S378, and S380 are the same as those in the above embodiment. If the standard lesson time is 120 minutes and the lesson time is 90 minutes, the determination in step S706 is denied and the determination in step S708 is affirmed, and the process proceeds to step S378 (correction of lesson time). Value is 10%).

Thereafter, the process proceeds to step S606 in FIG. In step S606 of FIG. 29, the class evaluation determination unit 34 calculates the maximum value of the completion determination power consumption based on the following equation (7).
Completion judgment power consumption maximum value = average power consumption + (average power consumption x lesson time correction value) (7)
In the case of the above-described example, the maximum value of the completion determination power consumption is 65+ (65 × 0.1) = 71.5 (W · h).

Next, in step S608, the class evaluation determination unit 34 calculates the minimum value of the completion determination power consumption based on the following equation (8).
Completion Judgment Maximum Power Consumption = Average Power Consumption-(Average Power Consumption x Lesson Time Correction Value) (8)
In the case of the example described above, the minimum value of the completion determination power consumption is 65− (65 × 0.1) = 58.5 (W · h).

  Thereafter, the process proceeds to step S324 in FIG. 28 and subsequent processes are the same as those in FIG. 22, and thus the description thereof will be omitted.

  When the process in FIG. 28 is completed, the process proceeds to step S301 in FIG. 27. When the determination in step S301 is affirmed, the process proceeds to step S502.

  In step S502, the class evaluation determination unit 34 ranks class evaluation values performed within a certain period in descending order. Next, in step S504, the class evaluation determination unit 34 ranks the values obtained by dividing the number of students who have not completed classes within a certain period by the number of students who completed the classes in ascending order. Next, in step S506, the rankings of steps S502 and S504 are totaled for each class, and the classes are ranked in ascending order of the total value.

  Thereafter, steps S305 to S316 are executed based on the ranking result of step S506.

  By performing the processing as described above, in this modification, it is possible to perform class evaluation in consideration of the number (ratio) of uncompleted persons and completed persons. Thereby, lesson evaluation can be performed more appropriately.

  In the above-described embodiment and modification, the completion and incomplete determination are determined by taking into consideration the student's grade (step S328), but is not limited thereto. For example, the determination in step S328 may be omitted. In addition, there is a case where there is no information on the grade (deviation value) of the subject of the class at the stage where the class is performed. In such a case, step S328 may not be performed, and step S328 may be performed only when there is grade information. Moreover, after class information is obtained, each class may be evaluated in a lump.

  In addition, the content of the said embodiment and modification can be combined suitably. For example, the process of FIG. 24 may be performed instead of the process of FIG. 30 in the contents of the modification (FIGS. 27 to 30).

  In the above-described embodiment and the modification, the completion or incomplete determination is determined based on the power consumption during the class (step S326), but is not limited thereto. For example, completion or non-completion may be determined based on the number of times of abnormal behavior and time.

  In the above embodiment, the case where two types of abnormal behavior are detected by performing the processing of FIG. 8 and the processing of FIG. 11 is described, but the present invention is not limited to this. That is, only one of the processes in FIGS. 8 and 11 may be performed.

  In the above embodiment, the case where the abnormal behavior monitoring reference time correction value is obtained for each student has been described. However, the present invention is not limited to this, and the abnormal behavior monitoring reference time correction value may be common to all students. Also, the abnormal behavior monitoring reference time update process of FIG. 12 may not be performed. The abnormal behavior monitoring time may be a fixed value. In this case, the abnormal behavior monitoring reference time setting / updating process (step S24 in FIG. 8, the process in FIG. 12) and the process of calculating the abnormal behavior monitoring reference time correction value (the process in FIG. 13) may be omitted. .

  In the above embodiment, a case has been described in which the specifying unit 24 specifies a student who is performing an abnormal behavior on the student terminal 30 using the power consumption value. However, the present invention is not limited to this. The identifying unit 24 may identify a student who is performing an abnormal behavior on the student terminal 30 using the power waveform. In this case, the specifying unit 24 can specify the student who is performing the abnormal action by pattern matching between the obtained power waveform and the pattern of the power waveform obtained when the abnormal action is performed.

  The method for detecting abnormal behavior described in the above embodiment is an example. Various other methods can be adopted as a method for detecting abnormal behavior. For example, it is good also as detecting abnormal behavior only from the change of the power consumption value in PC. In the above embodiment, a notebook PC or the like can be used as the student terminal 30.

  The above processing functions can be realized by a computer. In that case, a program describing the processing contents of the functions that the processing apparatus should have is provided. By executing the program on a computer, the above processing functions are realized on the computer. The program describing the processing contents can be recorded on a computer-readable recording medium.

  When the program is distributed, for example, it is sold in the form of a portable recording medium such as a DVD (Digital Versatile Disc) or a CD-ROM (Compact Disc Read Only Memory) on which the program is recorded. It is also possible to store the program in a storage device of a server computer and transfer the program from the server computer to another computer via a network.

  The computer that executes the program stores, for example, the program recorded on the portable recording medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes processing according to the program. The computer can also read the program directly from the portable recording medium and execute processing according to the program. Further, each time the program is transferred from the server computer, the computer can sequentially execute processing according to the received program.

  The above-described embodiment is an example of a preferred embodiment of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the scope of the present invention.

In addition, the following additional notes are disclosed regarding the above description.
(Supplementary note 1) A power consumption status acquisition step of acquiring a power consumption status in a terminal used by each student taking a predetermined class,
A specific step of identifying a student who uses a terminal whose consumption value of the power value during the class is different from other terminals among the terminals;
The time when the lesson was performed and the abnormal time when the consumption state of the power value was different from other terminals during the lesson at a terminal used by a non-specific student other than the specified student are acquired. A time acquisition process;
Based on the ratio of the total abnormal time at the terminal used by each of the non-specific students to the total class time calculated from the product of the time of the class and the number of non-specific students, the evaluation of the class is performed. A class evaluation determination method, wherein a computer executes a determination step of determining.
(Additional remark 2) The said computer further performs the grade acquisition process of acquiring each grade of the student who has attended the said predetermined class,
In the time acquisition step, a change in the power consumption value during the class at a terminal used by a student who has a predetermined grade or more among non-specific students other than the specified student and the time when the class was performed And the abnormal time when the trend was different from other devices,
In the determining step, the grade of the non-specific student is predetermined with respect to the total class time calculated from the product of the time when the class was held and the number of students of the non-specific student whose grade is equal to or higher than a predetermined level. The class evaluation determination method according to supplementary note 1, wherein the evaluation of the class is determined based on the ratio of the total abnormal time at the terminals used by each student.
(Additional remark 3) The said evaluation process WHEREIN: The lesson evaluation determination method of Additional remark 1 or 2 characterized by determining evaluation of the said class further based on the number of the said specific students, and the number of the said non-specific students.
(Appendix 4) Obtaining the power consumption status of each terminal used by students taking a prescribed class,
Among the terminals, a student who uses a terminal whose consumption value of the power value during the class is different from other terminals is identified,
The time when the lesson was performed and the abnormal time when the consumption state of the power value was different from other terminals during the lesson in a terminal used by a non-specific student other than the specified student is acquired. ,
Based on the ratio of the total abnormal time at the terminal used by each of the non-specific students to the total class time calculated from the product of the time of the class and the number of non-specific students, the evaluation of the class is performed. A lesson evaluation determination program characterized by causing a computer to execute a determination and determination process.
(Additional remark 5) The said computer further performs the process which acquires the grade of each student who attended the said predetermined class,
In the process of acquiring the time, the power consumption value during the class at a terminal used by a student who has a predetermined grade or more among non-specific students other than the specified student and the time when the class was performed And the abnormal time when the change trend of was different from other terminals,
In the determining process, the grade among the non-specific students is calculated with respect to the total class time obtained from the product of the time when the class was held and the number of students whose grades are equal to or greater than the predetermined among the non-specific students. The class evaluation determination program according to appendix 4, wherein the evaluation of the class is determined based on a ratio of the total abnormal time at a terminal used by each student who is equal to or greater than a predetermined value.
(Additional remark 6) In the process to determine, the evaluation of the said lesson is determined further based on the number of the said specific students, and the number of the said non-specific students, The class evaluation determination program of Additional remark 4 or 5 characterized by the above-mentioned .
(Appendix 7) A power consumption status acquisition unit that acquires a power consumption status in a terminal used by each student taking a predetermined class;
Among the terminals, a specifying unit for specifying a student who uses a terminal whose consumption value of the power value during the class is different from other terminals;
The time when the lesson was performed and the abnormal time when the consumption state of the power value was different from other terminals during the lesson at a terminal used by a non-specific student other than the specified student are acquired. A time acquisition unit;
Based on the ratio of the total abnormal time at the terminal used by each of the non-specific students to the total class time calculated from the product of the time of the class and the number of non-specific students, the evaluation of the class is performed. A class evaluation determination device comprising: a determination unit for determining.
(Additional remark 8) The grade acquisition part which acquires each grade of the student who attended the predetermined class is further provided,
The time acquisition unit is configured to change the power consumption value during the lesson at a terminal used by a student who has a predetermined grade or higher among non-specific students other than the specified student and the time when the lesson is performed. And the abnormal time when the trend was different from other devices,
The determination unit determines whether the grade of the non-specific student is predetermined with respect to the total class time calculated from the product of the time when the class was performed and the number of students whose grade is equal to or greater than the predetermined among the non-specific students. The lesson evaluation determining apparatus according to appendix 7, wherein the lesson evaluation is determined based on the ratio of the total abnormal time at the terminal used by each student.
(Additional remark 9) The said determination part determines the evaluation of the said class further based on the number of the said specific students, and the number of the said non-specific students, The class evaluation determination apparatus of Additional remark 7 or 8 characterized by the above-mentioned.

10 Class evaluation decision server (Class evaluation decision device)
22 Power data acquisition unit (Power consumption status acquisition unit)
34 Class evaluation decision part (specific part, time acquisition part, decision part, results acquisition part)

Claims (5)

A power consumption status acquisition step of acquiring a power consumption status in a terminal used by each student taking a predetermined class;
A specific step of identifying a student who uses a terminal whose consumption value of the power value during the class is different from other terminals among the terminals;
The time when the lesson was performed and the abnormal time when the consumption state of the power value was different from other terminals during the lesson at a terminal used by a non-specific student other than the specified student are acquired. A time acquisition process;
Based on the ratio of the total abnormal time at the terminal used by each of the non-specific students to the total class time calculated from the product of the time of the class and the number of non-specific students, the evaluation of the class is performed. A class evaluation determination method, wherein a computer executes a determination step of determining. The computer further executes a grade acquisition process for obtaining the grade of each student taking the class,
In the time acquisition step, a change in the power consumption value during the class at a terminal used by a student who has a predetermined grade or more among non-specific students other than the specified student and the time when the class was performed And the abnormal time when the trend was different from other devices,
In the determining step, the grade of the non-specific student is predetermined with respect to the total class time calculated from the product of the time when the class was held and the number of students of the non-specific student whose grade is equal to or higher than a predetermined level. The class evaluation determination method according to claim 1, wherein the class evaluation is determined based on a ratio of a total of abnormal times at terminals used by each of the students.   The lesson evaluation determination method according to claim 1 or 2, wherein, in the determination step, the evaluation of the lesson is determined further based on the number of the specific students and the number of the non-specific students. Get the power consumption status of each terminal used by students taking a given class,
Among the terminals, a student who uses a terminal whose consumption value of the power value during the class is different from other terminals is identified,
The time when the lesson was performed and the abnormal time when the consumption state of the power value was different from other terminals during the lesson in a terminal used by a non-specific student other than the specified student is acquired. ,
Based on the ratio of the total abnormal time at the terminal used by each of the non-specific students to the total class time calculated from the product of the time of the class and the number of non-specific students, the evaluation of the class is performed. A lesson evaluation determination program characterized by causing a computer to execute a determination and determination process. A power consumption status acquisition unit for acquiring the power consumption status of each terminal used by students taking a predetermined class;
Among the terminals, a specifying unit for specifying a student who uses a terminal whose consumption value of the power value during the class is different from other terminals;
The time when the lesson was performed and the abnormal time when the consumption state of the power value was different from other terminals during the lesson at a terminal used by a non-specific student other than the specified student are acquired. A time acquisition unit;
Based on the ratio of the total abnormal time at the terminal used by each of the non-specific students to the total class time calculated from the product of the time of the class and the number of non-specific students, the evaluation of the class is performed. A class evaluation determination device comprising: a determination unit for determining.

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