Artificial Intelligence for Classroom Teaching – Novel Applications, Challenges and Practical Review

Abstract

This article provides an organized overview and discussion on the use of AI for classroom teaching from an empirical perspective instead of reviewing opinions only. Combined witha study of case reports on AIuse in real classrooms, the review findsfour main modes of usage: didactical feedback and teaching collaboration, virtual classrooms, and big data analytics. The main problems can be grouped into three categories – technology integration, teaching practice, and subject adaptation. The resultsindicate that a successful implementation of AI in education needs to align technology, pedagogy, and institutional support, although these resultsshould be considered tentative given that most work is based on small-scale case studies and the rapidly changing nature of AI technology. The reviewpresents an organized basis for future empirical research, but itmust acknowledge that drawing broad inferences from published works and examples can also lead us astray.