Adaptive Learning: Investigations and Exercises

Semester: 

Spring

Offered: 

2020

Teaching and learning are, in varying degrees, already responsive, or adaptive, to different learner needs. Parents seek to select the “right” tutor for each child. Teachers shift instruction when they see confused faces or heads resting on desks. Students call friends or search the Internet for help when stuck. Technology, though, promises to make this adaptivity smarter, more immediate, and much deeper. This course investigates different approaches to adaptive and personalized learning, recognizing that learners vary across multiple dimensions – cognitively (what they know and can do), metacognitively (how they manage the learning process), and affectively (how they engage with the learning and the learning context). For each of these dimensions, we’ll explore how to anticipate relevant learner needs, create systems (technological and human) to notice or detect those needs, and select effective responses that ultimately lead to more adaptive learners. Guest speakers will provide windows into some evolving approaches and constructs, and you will work to apply the concepts to areas of personal interest through a sequence of deliverables over the course of the semester. No technical knowledge necessary.