This document discusses a project called Learning Layers that aims to scale informal workplace learning using video clips. It involves capturing expert knowledge through collaborative video annotation. Videos can then be adaptively presented based on user context and needs. The project has developed systems for video annotation, metadata tagging, and adaptive video presentation according to learning models. Future work will focus on improving adaptive presentation of annotated videos for just-in-time learning.

1. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-1
Learning
Layers
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
EU Project Layers:
Informal Learning at the Workplace
with Video Clips
Milos Kravcik, Ralf Klamma, Petru Nicolaescu
Advanced Community Information Systems (ACIS)
RWTH Aachen University, Germany
kravcik@dbis.rwth-aachen.de
LEARNTEC, Karlsruhe, Germany, January 28th, 2015

2. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Agenda
 Motivation
 Workplace Learning
 Learning Layers Project
 Video Annotation
 Adaptive Video Presentation
 Conclusion and Future Work

3. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Motivation
 Scenario: informal discussions among employees
 Issue: scalability – experts become overwhelmed
 Requirements: capture expert knowledge, provide direct
access to relevant information
 Solution: multimedia + annotations + adaptivity
 Aim: select relevant scenes and present them accordingly

4. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Workplace Learning
 Workplace learning is mostly informal
– No set objective in terms of learning outcomes
– Not intentional from the learner’s standpoint
 It maintains important principles of education
– Authenticity, Engagement, Demonstration
 Domain knowledge of experts is often ill-structured
– Content complexity
– Irregularity of application contexts
 Cognitive Flexibility Theory (Spiro & Jehng, 1990)
– ability to spontaneously restructure one's knowledge, in many ways,
in adaptive response to radically changing situational demands
Spiro, R. J., & Jehng, J. C. (1990). Cognitive flexibility and hypertext: Theory and technology for the nonlinear and multidimensional traversal of complex subject
matter. Cognition, education, and multimedia: Exploring ideas in high technology, 205.

5. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-5
Learning
Layers
EU FP7 Learning Layers Project
 Scaling up Technologies for Informal Learning
in SME Clusters
– http://learning-layers.eu/
 Two regional
clusters:
– Construction
(Germany)
– Healthcare
(UK)
 RWTH:
– Architecture & Integration
Ley, T., Cook, J., Dennerlein, S., Kravcik, M., Kunzmann, C., Pata, K., Purma, J., Sandars, J., Santos, P., Schmidt, A., Al-Smadi, M., Trattner, C. (2014) Scaling informal
learning at the workplace: A model and four designs from a large‐scale design‐based research effort. British Journal of Educational Technology, 45(6), 1036-1048.

6. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
EU FP7 Learning Layers Project

7. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-7
Learning
Layers
Our Objectives
 Social semantic layer
– Scaffolding meaningful learning by exploiting semantic
tagging information
 Social media layer
– Tagging video segments for informal learning in
communities
 Physical-digital world
– Mobile creation of videos for learning

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Prof. Dr. M. Jarke
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Learning
Layers
System Scenario

9. Lehrstuhl Informatik 5
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Prof. Dr. M. Jarke
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Learning
Layers
System Architecture
Derntl, M., Koren, I., Nicolaescu, P., Renzel, D., & Klamma, R. (2014). Blueprint for Software Engineering in Technology Enhanced Learning Projects. In Open Learning
and Teaching in Educational Communities (pp. 404-409). Springer International Publishing.

10. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
I5-FL-MMYY-10
Learning
Layers
Multimedia Annotation System
Architecture
 3-tier architecture
 Cloud-enabled
solutions
 Advantages
– Separation of
concerns
– Scalability
– Rapid development &
deployment
– Application
customization

11. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Video Annotation: Sevianno 2.0
 Annotation types: Place, Object, Agent, Concept, Event

12. Lehrstuhl Informatik 5
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Prof. Dr. M. Jarke
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Learning
Layers
Multimedia Metadata User Interface

13. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Learning
Layers
Model of Adaptive Learning
Aroyo, L., Dolog, P., Houben, G. J., Kravcik, M., Naeve, A., Nilsson, M., & Wild, F. (2006). Interoperability in personalized adaptive learning.
Educational Technology & Society, 9(2), 4-18.

14. Lehrstuhl Informatik 5
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Prof. Dr. M. Jarke
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Learning
Layers
Adaptive Video Presentation
 Aim: adapt annotated videos according to the current
demands & meta-data on Content, User, Context
 FOSP Method to specify adaptation strategies
– Filter: take only relevant components (segments)
– Order: order them accordingly
– Select: choose from alternative representations
– Present: responsive design
Damjanovic, V. & Kravcik, M. (2007). Using Emotional Intelligence in Personalized Adaptation.
In V. Sugumaran (Ed.), Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications (pp. 1716-1742). IGI Publishing.

15. Lehrstuhl Informatik 5
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Prof. Dr. M. Jarke
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Learning
Layers
Conclusion and Future Work
 Aim: Scaling up informal learning at the workplace
 Solution: Collaborative video annotation
 Challenge: Adaptive presentation according to
current context and situational demands