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Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke I5-FL-MMYY-1
Learning Layers
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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
Lehrstuhl Informatik 5 (Information Systems)
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Agenda
Motivation Workplace Learning Learning Layers Project Video Annotation Adaptive Video Presentation Conclusion and Future Work
Lehrstuhl Informatik 5 (Information Systems)
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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
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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.
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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.
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EU FP7 Learning Layers Project
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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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System Scenario
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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.
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Learning Layers Multimedia Annotation System
Architecture
3-tier architecture Cloud-enabled
solutions Advantages
– Separation of concerns
– Scalability – Rapid development &
deployment – Application
customization
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Video Annotation: Sevianno 2.0 Annotation types: Place, Object, Agent, Concept, Event
Lehrstuhl Informatik 5 (Information Systems)
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Multimedia Metadata User Interface
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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.
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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.
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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