Z Score,T Score, Percential Rank and Box Plot Graph
Informal Learning at the Workplace via Adaptive Video
1. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
1 This slide deck is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
Informal Learning at the Workplace
via Adaptive Video
Milos Kravcik, Petru Nicolaescu,
Aarij Siddiqui, Ralf Klamma
Advanced Community Information Systems (ACIS)
RWTH Aachen University, Germany
lastname@dbis.rwth-aachen.de
11th Joint European Summer School on
Technology Enhanced Learning (JTEL 2015)
July 6-10
Ischia, Italy
2. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
2
Workshop Learning Outcomes
• Understand nuts & bolts of informal learning
• Understand how outcomes of collaborative work at
workplace can be used to scaffold informal learning
• Apply adaptive video strategies to support learning
• Apply your own ideas for personalization
3. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Agenda
Motivation
Aims of Learning Layers Project
Semantic Video Annotation
Adaptive Video Presentation
Task in Groups
Presentations
4. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Motivation
Discussions with stakeholders revealed requirements that
can be solved by using multimedia in workplace scenarios
How to support informal learning at the workplace by video
annotation and video adaptation techniques?
Challenge: select scenes relevant in a particular context and
present them accordingly
5. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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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.
6. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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EU FP7 Learning Layers Project
How can we scale up video
tagging to support informal
learning at the work place
Objectives
– Mobile creation of videos
with learning materials
(physical-digital world)
– Tag the non-obvious for
informal learning in
communities (social media
layer)
– Scaffold meaningful learning
by exploiting semantic
tagging information (social
semantic layer)
Two regional clusters
– Construction (Germany)
– Healthcare (UK) http://learning-layers.eu/
7. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Video Annotation: Sevianno 2.0
Annotation types: Place, Object, Agent, Concept, Event
Simple (textual) annotations
9. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Multimedia Annotation System
Architecture
3-tier architecture
Cloud-enabled
solutions
Advantages
– Separation of
concerns
– Scalability
– Rapid development &
deployment
– Application
customization
10. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Use-Case
Adaptive Video Presentation
A Web-based video adaptation tool
– Informal learning support
– Adaptive video presentation based on
– User profile (preferences)
– Collaboratively created video annotations
Objective
– Choose relevant segments from different videos to form
an adaptive video, personalized for a particular user
11. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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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.
12. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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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.
13. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Video Adaptation in Vaptor
Filtered based on user’s
language preferences
Ranked for relevance,
based on user’s
interests, location,
duration, …
Extracts annotations
based on the search
query
16. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
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Task: Adaptation Strategies
Team up
Choose a scenario for applying video adaptation
– E.g. Construction, Healthcare
– Keep in mind the learning objective
Specify a video adaptation strategy for learning
– Situational context
– User information needed
– How to acquire the information
– What users should specify (explicit info)
– What can automatically collected (implicit info)
– Video presentation
– How to filter & prioritize information
– How to present (any important UI concerns)
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(Information Systems)
Prof. Dr. M. Jarke
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Relevant Information
User profile information => User Metadata
Video annotations (type, content) => Video Metadata
Contextual information (location, weather) => Context
Adaptation strategies => Adaptive Presentation
– Filter: select relevant segments
– Order: rank information according to different criteria
– Select: choose most suitable representation (media,
perspective)
– Present: responsive design (parallel vs. sequential)