This topical collection aims to gather research that will explore AI effect on teaching and learning. This includes examining how AI technologies effect educators. Another critical objective of this collection is to promote equity and accessibility in education, including examining AI solutions on the promise of bridging educational disparities examining algorithmic bias and fairness, and investigating how AI solutions are designed and implemented to create inclusive learning environments while ensuring fair and unbiased educational outcomes for all students.
The scope of this topical collection will focus on enhancing teaching and learning, equity and accessibility, ethical and privacy considerations, teacher roles and professional development, and policy development and implementation.
The overall objective of this topical collection is to promote a dialogue between students, researchers, educators, policymakers, and technologists when it comes to incorporating AI in the classroom and all facets of the educational ecosystem.
Please find a detailed call for papers here