Adaptive Learning Systems (ALS) results from artificial intelligence's (AI) growing influence in education in recent years. The primary objective of ALSs is to provide personalized learning. Intelligent tutoring systems, student-centred learning, intelligent instructional design, and individualized learning apps are synonymous with these ALS educational technologies. This course aims to introduce the implementation of Adaptive Learning Systems (ALS) in education, their benefits, concerns, and ethical dimensions.

It starts by illustrating the features and promises of ALS in Education through some examples of ALS platforms and use cases. Next, you will learn about ethical frameworks for evaluating ALS, the role of teachers, and institutional responsibility. Privacy protection, data collection and predictive learning models will be emphasized, as well as risks of data misuse. Also, you will understand different perspectives on ethical issues.

The following section will discuss human-centred considerations and well-being. You will discover the importance of balance and how to integrate tech with social-emotional learning properly. Consequentialist, deontological, and virtue ethics perspectives on Adaptive Learning Systems effects will be explained. You will also discover how to respect autonomy and minimize harm. After a short overview, the final section will raise some interesting questions about future ALS development.