Knowledge Inference Models Used in Adaptive Learning
Maria Ofelia Z. San Pedro, Ryan S. Baker · Methodology of educational measurement and assessment · 2021
This chapter provides an overview of adaptive learning and examines the student model component used in adaptive learning systems. Established and more recent approaches to student modeling that infer student knowledge (i.e. what students know at any given moment during the learning experience) are discussed, as student knowledge is the most common learner characteristic widely assessed in large-scale adaptive systems. This chapter concludes with a discussion of the limitations of the current generation of adaptive learning systems, and areas of potential for future progress.