Assessing student learning effectively is often complicated by relying on ambiguous proxies such as grades, quiz scores, or assumptions about students' internal states, such as what they feel, think, ...

Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...

The process of setting and evaluating Student Learning Objectives (SLOs) has become increasingly popular as an example where classroom assessment is intended to fulfill the dual purpose use of ...

The basis of social learning theory is simple: People learn by watching other people. We can learn from anyone—teachers, parents, siblings, peers, co-workers, YouTube influencers, athletes, and even ...

A recently released market research report shows the market for machine learning growing at a rapid 44.1% compounded annual growth rate over the next five years, driven largely by the financial ...