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WO2019125115A1 - Model for generating a timed learning tool (hat) timed with respect to the curriculum sequence of the students - Google Patents

Model for generating a timed learning tool (hat) timed with respect to the curriculum sequence of the students Download PDF

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Publication number
WO2019125115A1
WO2019125115A1 PCT/MX2017/000172 MX2017000172W WO2019125115A1 WO 2019125115 A1 WO2019125115 A1 WO 2019125115A1 MX 2017000172 W MX2017000172 W MX 2017000172W WO 2019125115 A1 WO2019125115 A1 WO 2019125115A1
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student
learning
interest
algorithm
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Spanish (es)
French (fr)
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Diana PACHECO NAVARRO
Mercedes SERNA FELIX
Marcos Antonio SANCHEZ GONZALEZ
Dino Alejandro Pardo Guzman
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers

Definitions

  • the present invention has its predominant field of application in the educational field, more specifically in the identification of topics of interest a specific time interval of the students for Laos
  • the invention US20090017427 shows a problem generator whose input is a math problem, analyzes the text and intelligently generates similar examples.
  • the output is a set of mathematical problems based on the conditions established during the analysis and customization. For example, if the original problem deals with linear equations, this will be detected during the analysis and used to generate other linear equations as problems. In addition, if the answer to the original problem is in an integer format, so will the responses to the problems generated.
  • a user interface is designed to allow further customization of the problem conditions and generate a specific set of input-based problems initial.
  • the problem generator templates can create, share and modify for distribution and / or future use.
  • problem generation APIs can be extended for external code to automate and consume generated math problems.
  • the invention CN103299338 describes a system focused on mathematical education, a method of analysis and generator of mathematical problems.
  • the service system provides a student terminal connected through a network with a mathematical education service, comprising a problem storage unit for storing a plurality of mathematical problems; a unit of execution for the modification of a problem by manipulating numbers and mathematical formulas, modifying a problem by rewriting and modifying a problem by manipulating the proposition; a problem separation unit to collect formulas used in mathematical problems and analyze the formulas collected by separating at least one term, constants and variables from each of the separate terms and a problem generating unit to obtain a new one.
  • US20150199909 a method for generating a transversal learning network is described.
  • the learning network contains a plurality of learning objects each made up of an aggregation of learning content.
  • the learning objects of the learning network are interconnected, based on one or more skill levels incorporated in the educational content of learning objects.
  • a new learning object can be placed within the learning network based on skill level.
  • US20080189684 a method and an electronic learning authoring system based on specific learning objects marked with a goal is described.
  • the method includes searching for repository learning objects based on a content query data that publishes the learning objects in a content management system, by applying a metadata that describes the objects in a content management system. learning context.
  • the method can include the comparison of context query data and the metadata of each of the learning objects to perform a search and select a subset of the learning object that matches the context query data.
  • the invention US20090197237 provides a system for generating a sequence of learning objects comprising an e-Learning course.
  • the system may include one or more processors and a memory unit for electronically storing data comprising a plurality of learning objects.
  • the system may include a sequence constructor configured to run on at least one processor.
  • the sequence constructor in particular, can be configured to generate a plurality of learning objects based on a measurable relevance of the user and / or a measurable query relevance of each learning object contained in the sequence.
  • FIG 1 shows the general scheme of the problem.
  • Figure 2 shows the outline of the solution to the problem.
  • Figure 3 shows the flow diagram of the method.
  • Figure 1 shows the general scheme of the problem where the method focuses on the detection of words or relevant names associated with topics recorded in the conversations of users in a forum during a time interval. This procedure allows the detection of topics that, during a specific time interval, are of interest to the group of students participating in the conversations.
  • Figure 2 shows the solution to the problem by detecting topics of interest of a group of users in the conversations of a forum, for example: videogames, movies, books, shopping, internet or sports, the appraiser algorithm detects the topics of interest to generate texts of problems with these themes.
  • the activity record of a forum forms the basis of the method, from which words or names are detected relevant that they will be associated with the information contained in a repository.
  • the validity of the associated topic is related to the registration time of the words or names, from which the Timed Learning Objects (HAT) will be generated.
  • HAT Timed Learning Objects

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The generation of learning tools is a fundamental topic in education. The need to provide students with novel and interesting educational material increases the possibility of success in the teaching–learning process. Therefore, the present proposal includes a method for identifying subjects of interest to use for the generation of learning objects in problem format.

Description

MODELO DE GENERACIÓN DE HERRAMIENTAS DE  MODEL OF GENERATION OF TOOLS OF

APRENDIZAJE TEMPORIZADOS (HAT) RESPECTO A LA  TIMED LEARNING (HAT) REGARDING THE

SECUENCIA CURRICULAR DE LOS ESTUDIANTES. CAMPO TÉCNICO DE LA INVENCIÓN  CURRICULAR SEQUENCE OF STUDENTS. TECHNICAL FIELD OF THE INVENTION

La presente invención tiene su campo de aplicación preponderante en el ámbito educativo, más específicamente en la identificación de temas de interés un intervalo de tiempo específico de los estudiantes para laos  The present invention has its predominant field of application in the educational field, more specifically in the identification of topics of interest a specific time interval of the students for Laos

es decir, herramientas de aprendizaje contextualizados en los temas de interés vigentes entre los estudiantes. that is, contextualized learning tools on current topics of interest among students.

ANTECEDENTES DE LA INVENCIÓN BACKGROUND OF THE INVENTION

Es indudable que los avances tecnológicos y la consecuente estructuración de plataformas en línea han mostrado una rápida evolución. La facilidad de interacción entre los usuarios de una red es sorprendente y las conversaciones en tiempo real permiten una comunicación eficiente que puede ser utilizada pare diferentes fines. En el caso particular de la educación, los avances tecnológicos se han traducido en la implementación de píatafbrmas que toman el papel de herramientas que apoyan los procesos enseñanza - aprendizaje. Undoubtedly, technological advances and the consequent structuring of online platforms have shown a rapid evolution. The ease of interaction between the users of a network is surprising and the conversations in real time allow an efficient communication that can be used for different purposes. In the particular case of education, technological advances have resulted in the implementation of píatafbrmas that take on the role of tools that support the teaching - learning processes.

La investigación de antecedentes de la invención muestra procesos para la generación de problemas, pero a partir de una referencia dada, presentando variaciones al mismo a diferencia de la presente propuesta que considere las preferencias de los usuarios para dicha generación. A continuación, se presenta una relación de invenciones con temas relacionados, más no iguales: The background investigation of the invention shows processes for the generation of problems, but from a given reference, presenting variations thereto unlike the present proposal that considers the preferences of the users for said generation. Below is a list of inventions with related topics, but not the same:

La invención US20090017427 muestra un generador de problemas cuya entrada es un problema de matemáticas, analiza el texto y genere inteligentemente ejemplos similares. La salida es un conjunto de problemas matemáticos basados en las condiciones establecidas durante el análisis y la personalización. Por ejemplo, si el problema original trata con ecuaciones lineales, esto será detectado durante el análisis y usado para generar otras ecuaciones lineales como problemas. Además, si la respuesta al problema original está en formato de número entero, también lo serán las respuestas a los problemas generados. Una interfaz de usuario está diseñada para permitir una personalización adicional de las condiciones del problema y generar un conjunto específico de problemas basados en la entrada inicial. Las plantillas del generador de problemas pueden crear, compartir y modificar para su distribución y / o uso futuro. Además, las API de generación de problemas pueden ampliarse para el código externo para automatizar y consumir problemas matemáticos generados. The invention US20090017427 shows a problem generator whose input is a math problem, analyzes the text and intelligently generates similar examples. The output is a set of mathematical problems based on the conditions established during the analysis and customization. For example, if the original problem deals with linear equations, this will be detected during the analysis and used to generate other linear equations as problems. In addition, if the answer to the original problem is in an integer format, so will the responses to the problems generated. A user interface is designed to allow further customization of the problem conditions and generate a specific set of input-based problems initial. The problem generator templates can create, share and modify for distribution and / or future use. In addition, problem generation APIs can be extended for external code to automate and consume generated math problems.

La invención CN103299338 describe un sistema de enfocado en educación matemática, un método de análisis y generador de problemas matemáticos. El sistema de servicio proporciona una terminal estudiantil conectada a través de una red con un servicio de educación matemática, comprende una unidad de almacenamiento de problemas para almacenar una pluralidad de problemas matemáticos; una unidad de ejecución para la modificación de un problema mediante la manipulación de números y fórmulas matemáticas, la modificación de un problema mediante reescritura y modificación de un problema manipulando la proposición; una unidad de separación de problemas para recoger fórmulas usadas en problemas matemáticos y analizar las fórmulas recogidas separando al menos un término, constantes y variables de cada uno de los términos separados y una unidad generadora de problemas para obtener un nuevo. The invention CN103299338 describes a system focused on mathematical education, a method of analysis and generator of mathematical problems. The service system provides a student terminal connected through a network with a mathematical education service, comprising a problem storage unit for storing a plurality of mathematical problems; a unit of execution for the modification of a problem by manipulating numbers and mathematical formulas, modifying a problem by rewriting and modifying a problem by manipulating the proposition; a problem separation unit to collect formulas used in mathematical problems and analyze the formulas collected by separating at least one term, constants and variables from each of the separate terms and a problem generating unit to obtain a new one.

En la presente invención US20150199909 se describe un método para generar una red de aprendizaje transversal. La red de aprendizaje contiene una pluralidad de objetos de aprendizaje cada uno hecho de una agregación de contenido de aprendizaje. Los objetos de aprendizaje de la red de aprendizaje están interconectados, basados en uno o varios niveles de habilidad incorporados en el contenido educativo de los objetos de aprendizaje. Un nuevo objeto de aprendizaje puede colocarse dentro de la red de aprendizaje basado en el nivel de habilidad. En la invención US20080189684 se describe un método y un sistema de autoría de aprendizaje electrónico basado en objetos de aprendizaje específicos marcados con una meta. En una realización, el método incluye la búsqueda de objetos de aprendizaje de un repositorio basándose en un dato de consulta de contenido que publica los objetos de aprendizaje en un sistema de gestión de contenido, mediante la aplicación de un metadato que describe los objetos en un contexto de aprendizaje. Además, el método puede incluir la comparación de datos de consulta de contexto y los metadatos de cada uno de los objetos de aprendizaje para realizar una búsqueda y seleccionar un subconjunto del objeto de aprendizaje que coincide con los datos de consulta de contexto. La invención US20090197237 proporciona un sistema para generar una secuencia de objetos de aprendizaje que comprende un curso de e-Learning. El sistema puede incluir uno o más procesadores y una unidad de memoria para almacenar electrónicamente datos que comprenden una pluralidad de objetos de aprendizaje. Además, el sistema puede incluir un constructor de secuencia configurado para ejecutarse en al menos un procesador. El constructor de secuencias, en particular, puede configurarse para generar una pluralidad de objetos de aprendizaje basándose en una relevancia medible del usuario y / o una relevancia de la consulta medible de cada objeto de aprendizaje contenido en la secuencia. In the present invention US20150199909 a method for generating a transversal learning network is described. The learning network contains a plurality of learning objects each made up of an aggregation of learning content. The learning objects of the learning network are interconnected, based on one or more skill levels incorporated in the educational content of learning objects. A new learning object can be placed within the learning network based on skill level. In the invention US20080189684 a method and an electronic learning authoring system based on specific learning objects marked with a goal is described. In one embodiment, the method includes searching for repository learning objects based on a content query data that publishes the learning objects in a content management system, by applying a metadata that describes the objects in a content management system. learning context. In addition, the method can include the comparison of context query data and the metadata of each of the learning objects to perform a search and select a subset of the learning object that matches the context query data. The invention US20090197237 provides a system for generating a sequence of learning objects comprising an e-Learning course. The system may include one or more processors and a memory unit for electronically storing data comprising a plurality of learning objects. In addition, the system may include a sequence constructor configured to run on at least one processor. The sequence constructor, in particular, can be configured to generate a plurality of learning objects based on a measurable relevance of the user and / or a measurable query relevance of each learning object contained in the sequence.

DESCRIPCIÓN DETALLADA DE LA INVENCIÓN DETAILED DESCRIPTION OF THE INVENTION

Los detalles característicos de la presente invención se muestran claramente en la siguiente descripción y en las figuras que se acompañan, las cuales se mencionan a manera de ejemplo, por lo que no deben considerarse como una limitante para dicha invención. The characteristic details of the present invention are clearly shown in the following description and in the accompanying figures, which are mentioned by way of example, so they should not be considered as a limitation for said invention.

Breve descripción de las figuras: Brief description of the figures:

La figura 1 muestra el esquema general del problema. Figure 1 shows the general scheme of the problem.

La figura 2 muestra el esquema de la solución del problema. Figure 2 shows the outline of the solution to the problem.

La Figura 3 muestra el diagrama de flujo del método. Figure 3 shows the flow diagram of the method.

Con respecto a las figuras antes enlistadas, la figura 1 muestra el esquema general del problema donde el método se centra en la detección de palabras o nombres relevantes asociados a temáticas registradas en las conversaciones de los usuarios en un foro durante un intervalo de tiempo. Este procedimiento permite la detección de temáticas que, durante un intervalo de tiempo específico, sean de interés para el grupo de estudiantes que participan en las conversaciones. La figura 2 muestra la solución del problema al detectar temas de interés de un grupo de usuarios en las conversaciones de un foro, por ejemplo: videojuegos, cine, libros, compras, internet o deportes, el algoritmo valuador detecta las temáticas de interés para generar textos de problemas con dichas temáticas. El diagrama de flujo del método se muestra en la figura 3, donde observa la secuencia de registro de información en las diferentes etapas propuestas: el registro de actividad de un foro forma la base del método, a partir de la cual se detectan palabras o nombres relevantes que serán asociados a la información contenida en un repositorio. La vigencia del tema asociado se relaciona al tiempo de registro de las palabras o nombres, a partir de la cuales se generarán los Objetos de Aprendizaje Temporizados (HAT). With respect to the figures listed above, Figure 1 shows the general scheme of the problem where the method focuses on the detection of words or relevant names associated with topics recorded in the conversations of users in a forum during a time interval. This procedure allows the detection of topics that, during a specific time interval, are of interest to the group of students participating in the conversations. Figure 2 shows the solution to the problem by detecting topics of interest of a group of users in the conversations of a forum, for example: videogames, movies, books, shopping, internet or sports, the appraiser algorithm detects the topics of interest to generate texts of problems with these themes. The flow diagram of the method is shown in Figure 3, where it observes the sequence of information recording in the different stages proposed: the activity record of a forum forms the basis of the method, from which words or names are detected relevant that they will be associated with the information contained in a repository. The validity of the associated topic is related to the registration time of the words or names, from which the Timed Learning Objects (HAT) will be generated.

Claims

REIVINDICACIONES 1. Un sistema para la generación de Objetos de Aprendizaje Temporizados (HAT) que siguen la línea de aprendizaje actual de un estudiante o grupo de estudiantes durante un tiempo determinado. El sistema contiene los componentes siguientes: · Un algoritmo que determina los temas relacionados con la secuencia curricular actual del estudiante a través del estudio de las capturas de las "conversaciones" del estudiante con la plataforma o con otros usuarios. Utilizando como principal variable el número de apariciones de las palabras.  1. A system for the generation of Timed Learning Objects (HAT) that follow the current line of learning of a student or group of students during a determined time. The system contains the following components: · An algorithm that determines the topics related to the current curricular sequence of the student through the study of the captures of the "conversations" of the student with the platform or with other users. Using the number of occurrences of the words as the main variable. • Un sistema que evalúa la correlación entre los temas de interés actual del estudiante y los objetos almacenados en la base de datos.  • A system that evaluates the correlation between the subjects of current interest of the student and the objects stored in the database. • Un sistema que genera herramientas de aprendizaje que utiliza estructuras de información en cuales los problemas están descritos y relacionados con palabras claves.  • A system that generates learning tools that uses information structures in which problems are described and related to key words. • Un algoritmo que después de la detección de un tema de estudio de interés para el estudiante le presenta de forma rápida y eficaz una herramienta de aprendizaje adecuada.  • An algorithm that, after the detection of a topic of interest for the student, presents a suitable learning tool quickly and efficiently. • Una base de datos que contiene al menos una herramienta de aprendizaje para cada uno de los tres temas con mayor valuación de correlación.  • A database that contains at least one learning tool for each of the three subjects with the highest correlation valuation. 2. El sistema de conformidad con la reivindicación No. 1 , donde el proceso de evaluación de la correlación entre los temas de interés y los objetos de la base de datos se hace mediante el análisis de los intercambios en la plataforma (en forma de textos) entre los usuarios o entre el usuario y la misma plataforma;  2. The system according to claim 1, wherein the process of evaluating the correlation between the topics of interest and the objects of the database is done by analyzing the exchanges on the platform (in the form of texts). ) between users or between the user and the same platform; 3. El sistema de conformidad con la reivindicación No. 2, donde los intercambios son comentarios sobre uno o varios temas que pueden estar defendiendo o criticando la temática principal;  3. The system according to claim 2, where the exchanges are comments on one or several topics that may be defending or criticizing the main theme; 4. El sistema de conformidad con la reivindicación No. 3, donde la variable principal es el tiempo de registro de las conversaciones;  4. The system according to claim 3, wherein the main variable is the recording time of the conversations; 5. El sistema de conformidad con la reivindicación No. 4, donde el análisis para la valuación se hace sobre los registros del día anterior;  5. The system according to claim 4, wherein the analysis for the valuation is made on the records of the previous day; 6. El sistema de conformidad con la reivindicación No. 1 , donde los datos están clasificados por tema de interés mediante sus palabras claves; 6. The system according to claim 1, wherein the data are classified by subject of interest through their keywords; 7. El sistema de conformidad con ia reivindicación No. 6, donde el registro de datos se actualiza en tiempo real al igual que el análisis de estos; 7. The system according to claim No. 6, where the data record is updated in real time as well as the analysis thereof; 8. El sistema de conformidad con la reivindicación No. 6, donde un programa inteligencia artificial detecta las palabras claves en las conversaciones de los usuarios y lo analiza para construir un diccionario de palabras asociadas a los temas registrados; 8. The system according to claim 6, wherein an artificial intelligence program detects the keywords in the conversations of the users and analyzes it to build a dictionary of words associated with the registered topics; 9. El sistema de conformidad con la reivindicación No. 8, donde se utiliza un algoritmo de selección de palabras claves que toma como referencia términos asociados a los temas del repositorio; 9. The system according to claim 8, wherein a keyword selection algorithm is used that takes as reference terms associated with the repository topics; 10. El sistema de conformidad con la reivindicación No. 9, donde el algoritmo de selección de palabras claves utiliza un modelo de reconocimiento léxico-estadístico para reconocer los términos más utilizados por los usuarios;  10. The system according to claim 9, wherein the keyword selection algorithm uses a lexical-statistical recognition model to recognize the terms most used by the users; 11. El sistema de conformidad con la reivindicación No. 10, donde para medir la probabilidad que se utilice cierta palabra dentro de una conversación sobre cierto tema de interés se calcula un valor llamado índice de disponibilidad; 11. The system according to claim No. 10, wherein to measure the probability that a certain word is used within a conversation on a certain topic of interest, a value called availability index is calculated; 12. El sistema de conformidad con la reivindicación No. 11, donde los temas del registro de la base de datos son asociados mediante un algoritmo a las palabras claves relacionadas; 12. The system according to claim 11, wherein the topics of the database record are associated by an algorithm to the related keywords; 13. El sistema de conformidad con la reivindicación No. 12, donde se tiene un registro de cuantas veces una palabra clave fue utilizada en cierto entorno y en un tiempo determinado;  13. The system according to claim No. 12, where there is a record of how many times a keyword was used in a certain environment and in a certain time; 14. El sistema de conformidad con la reivindicación No. 13, donde los cambios de temas dentro de las conversaciones son detectados por el elemento valuador del sistema;  14. The system according to claim No. 13, wherein the changes of topics within the conversations are detected by the system's appraiser element; 15. El sistema de conformidad con la reivindicación No. 14, donde la selección de los temas propuestos al estudiante se hace mediante un algoritmo en cual las variables principales son la antigüedad de las conversaciones analizadas y la frecuencia de aparición de las palabras claves;  15. The system according to claim No. 14, where the selection of the topics proposed to the student is made by an algorithm in which the main variables are the age of the conversations analyzed and the frequency of occurrence of the keywords; 16. El sistema de conformidad con la reivindicación No. 15, donde el algoritmo de selección de temas da más importancia a las palabras claves utilizadas en los últimos registros que en los registros más antiguos;  16. The system according to claim No. 15, wherein the subject selection algorithm gives more importance to the keywords used in the last registers than in the older registers; 17. El sistema de conformidad con la reivindicación No. 16, donde se calcula el índice de valuación de una palabra como la división del número de veces que la palabra fue utilizada en un día en particular entre el número de días que ha pasado desde este día; 17. The system according to claim 16, wherein the valuation index of a word is calculated as the division of the number of times the word was used on a particular day between the number of days that has passed from this day; 18. El sistema de conformidad con ia reivindicación No. 1 , donde la herramienta de aprendizaje propuesto al estudiante se escoge en relación al tema con mayor valuación; 18. The system according to claim 1, where the learning tool proposed to the student is chosen in relation to the subject with the highest valuation; 19. El sistema de conformidad con la reivindicación No. 18, donde la secuencia curricular propuesta por el agente de herramientas de aprendizaje está asociado a los modelos de educación oficiales;  19. The system according to claim No. 18, wherein the curricular sequence proposed by the learning tool agent is associated with the official education models; 20. El sistema de conformidad con la reivindicación No. 19, donde una de las variables utilizadas para la selección de la herramienta de aprendizaje es el grado escolar del estudiante.  20. The system according to claim No. 19, wherein one of the variables used for the selection of the learning tool is the student's grade level. 21. El sistema de conformidad con la reivindicación No. 1 , donde la propuesta de herramienta de aprendizaje al alumno se hace de manera inmediata después del proceso de valuación de los temas. 21. The system according to claim 1, where the proposal of learning tool to the student is made immediately after the process of valuation of the subjects. 22. El sistema de conformidad con la reivindicación No. 21 , donde la velocidad de propuesta de la herramienta permite captar el interés de los estudiantes y no perder vigencia en la selección de nuevos temas. 22. The system according to claim No. 21, where the speed of proposal of the tool allows to capture the interest of students and not lose validity in the selection of new topics.
PCT/MX2017/000172 2017-12-20 2017-12-20 Model for generating a timed learning tool (hat) timed with respect to the curriculum sequence of the students Ceased WO2019125115A1 (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110307396A1 (en) * 2010-06-15 2011-12-15 Masteryconnect Llc Education Tool for Assessing Students
US20120308980A1 (en) * 2011-06-03 2012-12-06 Leonard Krauss Individualized learning system
WO2013040111A1 (en) * 2011-09-13 2013-03-21 Monk Akarshala Design Private Limited Ability banks in a modular learning system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110307396A1 (en) * 2010-06-15 2011-12-15 Masteryconnect Llc Education Tool for Assessing Students
US20120308980A1 (en) * 2011-06-03 2012-12-06 Leonard Krauss Individualized learning system
WO2013040111A1 (en) * 2011-09-13 2013-03-21 Monk Akarshala Design Private Limited Ability banks in a modular learning system

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