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Adaptive Learning WG Use Cases

Adaptive Learning WG Use Cases

Feb 21, 2018

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).

 

Efficiency (speed)

Effectiveness (quality)

Static

1. Pre-test based
3. Choose your own pathway
8. Survey-based
9. Module repository

4. Self-organized groups
5. Profile-based

Dynamic
(i.e., Adaptive)

7. Aggregate learner comparison

2. Competency-based
6. Misconception-based
10. Spaced repetition
11. Behavior-based

Uses Cases Table

 

 

Effectiveness (performance)

Efficiency
(speed)

Meta-cognitive
(self-awareness)

Engaging
(motivation)

Retention
(long-term)

Tracking
(data)

 

 

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