Artificial Intelligence and Grand Challenges for Education

Abstract

Research on the use of AI in classroom settings dates back to the early days of the field. The need to develop and implement technological solutions to educational challenges has resulted in a corpus of work that expands upon and adds to the study of AI and cognitive science more generally. This article details the grand challenge issues related with AIED and examines the architectural components of an AIED system and their relationships to different parts of AI. The study also emphasizes AI's potential to help schools reach their long-term objectives. Describe the issues they promote, such as one-on-one tutoring for all students, collecting and analyzing data on student participation in their education, providing everyone with access to virtual classrooms, and promoting lifelong learning. Goals leading to the creation of global educational resources and the reuse and sharing of digital educational resources are given, together with a vision and a brief research plan for each problem. Researchers now have the opportunity to analyze massive datasets of instructional behavior gleaned from databases tracking components of learning, influence, motivation, and engagement made possible by AI teaching systems, which are said to be facilitating richer student experiences. Describes a kind of individualized instruction that promotes experiential learning, critical thinking, and formative evaluation at the individual and group levels.