Artificial Intelligence in Education: Potential Applications and Ethical Considerations for Future Classroom

Abstract

Purpose and objectives of this study include exploring the application of AI in education and learning, considering ethical challenges associated with its incorporation into future classrooms. The objectives of this study are to determine and classify AI technology employed within learning interfaces; explore how AI facilitates personalized learning based on learners’ requirements; review AI support for educators by automating administrative tasks and providing learners with personalized review feedback; determine the capacity of AI to improve accessibility for learners with disabilities; two others.

Design/Methodology: Exploratory-expository design combined the results of exploratory research and secondary data with regard to AI and education, giving specific consideration to the context of Africa. The study was intended to categorize contemporary AI applications used in education, describe methods of personalized education, assess the use of AI in teaching and accessibility, and create an AI implementation ethics framework.

Results: There appears to be potential for the reduction of the administrative burden on the teaching staff to enable more time to spend on teaching and interacting with students through the help of AI. Teachers held ambivalent views of the technology, which were characterized by their optimism and pessimism regarding the potential effects of AI.

Pragmatic Implications: It recommends teacher training, building positive dispositions towards AI tools, and setting ethical standards for the protection of data and equity of access of the students.

Originality/Value: This paper has value because it highlights the applications of AI in education while emphasizing the ethical use of AI.