Adaptive Learning WG Use Cases

2016 Working Group's Use Cases

1. Based on pre-test, expert receives most useful and engaging content
2. Competency-based personalization
3. Learner chooses own pathway¹
4. Self-organized learner groups
5. Profile-based personalization
6. Misconception-based personalization
7. Aggregate learner comparison for efficiency
8. Survey-based starting point in pathway
9. Learner creates pathway from Module Repository¹
10. Spaced repetition for long-term retention
11. Behavior-based personalization (part 2 of Use case #1)

¹ Uses cases that apply to LabX

Uses Cases Matrix

Uses cases organized by:

1. whether the tool needs to statically or dynamically respond to learners interactions.
2. whether the primary motivation of the use case is efficiency (speed in learning) or effectiveness (quality of learning).

Uses Cases Table

		Effectiveness (performance)	Efficiency (speed)	Meta-cognitive (self-awareness)	Engaging (motivation)	Retention (long-term)	Tracking (data)
Static	1. Pre-test based
	3. Choose your own pathway
	4. Self-organized groups
	5. Profile-based
	8. Survey-based
	9. Module repository
Dynamic (i.e., Adaptive)	2. Competency-based
	6. Misconception-based
	7. Aggregate learner comparison
	10. Spaced repetition
	11. Behavior-based