The document discusses the development of personalized learning environments using knowledge graphs and the zone of proximal development, emphasizing trainers' functional requirements for managing exercises, evaluations, and player performance. It highlights Kolb's learning styles and motor skill acquisition models as frameworks to enhance training sessions. The future work includes expanding knowledge graphs and refining assessment methods.

1. Personalised Learning Environments based
on Knowledge Graphs and the Zone of
Proximal Development
Yoshi Malaise and Beat Signer
WEB & INFORMATION
SYSTEMS ENGINEERING

7. Background

8. Knowledge Graphs Zone of Proximal
Development Kolb’s
Learning Styles
Three Stage Model of Motor Skill Acquisition
Kolb’s Experiential
Learning Cycle

9. Functional Requirements
1. Trainers should be able to manage exercises
2. Trainers should be able to manage the
evaluation criteria for a technique
3. Trainers should be able to manage
assessments
4. Trainers should be able to supervise
assessments
5. Trainers should be able to manage the player
knowledge graph
6. Trainers should be able to inspect a player’s
past performance
7. Trainers should be able to prepare training
sessions
8. Trainers should be able to supervise
training sessions
9. The application should adapt to different
screen sizes
10.The application should allow the sharing of
data between trainers of a club
11.Data of a club should be private to that club

11. A Story
Steve Alice

12. Adding new exercises

16. Investigating the participant
before the session

21. Preparing the session

25. Supervising the session

29. Assessments

32. Conclusion & Future Work

33. Knowledge Graphs Zone of Proximal
Development
Kolb’s
Learning Styles
Three Stage Model of Motor Skill Acquisition
Kolb’s Experiential
Learning Cycle
Assessments Suggested Exercises