supporting self-regulated learning by personal learning environments
DESCRIPTION
Studies have shown that applying Self-Regulated Learning (SRL) and related meta-cognitive learning strategies is an efficient way how to increase the learning progress. However, this is quite challenging to be facilitated with learning technologies as such training requires an individualized approach and a right balance between the learner’s freedom and guidance. Personalisation and adaptive technologies have a high potential to support SRL and have been applied in Personal Learning Environments (PLEs) that can enable customization and guidance of various strength and at various levels. We present an approach and framework that integrates guidance and reflection support for SRL in PLEs. The ROLE project has elaborated an operational SRL model and implemented a system accordingly. Concrete examples following this design have been created and evaluated in various settings, involving both students and teachers. In the BOOST project we aim to elaborate this approach in order to support competence development and informal training in small companies. The lecture introduces a brief theoretical background from various perspectives including education, psychology and neuroscience. Then technological solutions are proposed and case studies from several projects presented. Finally evaluation challenges will be discussed.TRANSCRIPT
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 1
Learning Layers
Supporting Self-Regulated Learning by Personal Learning Environments
Milos Kravcik
Advanced Community Information Systems (ACIS) RWTH Aachen University, Germany
JTEL Summer School, Malta, April 29, 2014
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 2
Learning Layers
Agenda Motivation: Effective & Efficient Learning Pedagogy: Self-Regulated Learning Technology: Personal Learning Environments Implementation: Case Studies Evaluation Issues Conclusion
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 3
Learning Layers
Question 1 What is the most important thing you have learned in school?
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 4
Learning Layers
Question 2 What is the most important thing you should have learned in school?
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 5
Learning Layers
Motivation – Erwin Wagenhofer ALPHABET “What we learn shapes our stock of knowledge, but how we learn shapes our thinking.” http://youtu.be/b_-KrJseVUo http://www.alphabet-film.com/
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 6
Learning Layers
Motivation – Noam Chomsky The Purpose of Education “Education is really aimed at helping students get to the point where they can learn on their own...” “It doesn't matter what we cover, it matters what you discover.” http://youtu.be/DdNAUJWJN08
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 7
Learning Layers
Motivation – Richard Feynman The Pleasure of Finding Things Out http://youtu.be/Bgaw9qe7DEE
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 8
Learning Layers
Motivation – Sir Ken Robinson Finding Your Element How to Discover Your Talents and Passions and Transform Your Life http://ideas.time.com/2013/05/30/ted-talk-legend-sir-ken-robinson-talks-to-time/ http://sirkenrobinson.com/?page_id=420 http://youtu.be/3TAqSBMZDY8
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 9
Learning Layers
Our Education System
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 10
Learning Layers
Self-Regulated Learning SRL: monitoring & managing of cognitive processes, control over emotions, motivations, behavior, learning environment (Nilson 2013) Application of SRL increases the effectiveness of education Issue: few students are self-directed learners
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 11
Learning Layers
2 Kinds of Thinking Automatic system (AS): – gut reaction:
• intuitive, rapid, instinctive • associated with the oldest parts of the brain
Reflective system (RS) – conscious thought:
• rational, deliberate, self-conscious
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 12
Learning Layers
Proposed Solution Libertarian paternalism: preserves liberty and tries to influence choices in a way that will make choosers better off, as judged by themselves
• This influence can be realized via suitable alerts or nudges • A nudge should alert people’s behavior in a predictable way and at the same time it should be easy and cheap to avoid
The golden rule of libertarian paternalism: offer nudges that are most likely to help and least likely to inflict harm Sunstein, Thaler (2008). Nudge.
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 13
Learning Layers
ROLE Self-Regulated Learning Process Model
based on Zimmermann Model [Zimmermann, 2002]
Nussbaumer, ICWL 2012
learner profile information is defined and revised
learner finds and selects learning resources
learner works on selected learning resources
plan
learn reflect
ideal learner can control the own learning process
typical learners needs support and guidance
learner reflects and reacts on strategies, achievements,
and usefulness
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 14
Learning Layers
Technological Support Challenge: how to facilitate SRL by technology? • individualized approach • right balance between freedom and guidance Aim: integrating guidance & reflection Proposed solution: Personal Learning Environment (PLE)
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 15
Learning Layers
ROLE Cognitive Learning Strategies
Nussbaumer, A., Dahrendorf, D., Schmitz, H. C., Kravčík, M., Berthold, M., & Albert, D. (2014). Recommender and guidance strategies for creating personal mashup learning environments. Computer Science and Information Systems, 11(1), 321-342.
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 16
Learning Layers
ROLE Metacognitive Learning Strategies
Nussbaumer, A., Dahrendorf, D., Schmitz, H. C., Kravčík, M., Berthold, M., & Albert, D. (2014). Recommender and guidance strategies for creating personal mashup learning environments. Computer Science and Information Systems, 11(1), 321-342.
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 17
Learning Layers
ROLE SRL Ontology
Ontology consists of learning strategies and techniques
Approach based on [Mandl & Friedrich, 2006] Nussbaumer, ICWL 2012
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 18
Learning Layers
LEARNING LAYERS Informal Workplace Learning
Source: Petru Nicolaescu
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 19
Learning Layers
BOOST SME Learning - Manager Area
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 20
Learning Layers
BOOST SME Learning - Trainer Area
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 21
Learning Layers
BOOST SME Learning - Employee Area
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 22
Learning Layers
Evaluation Issues Short term • usability • workload • learning outcome
Mid term • adoption of SRL Long term • adoption of SRL • usage (quantitative evaluation)
Source: Dominik Renzel
Source: Marcel Berthold
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 23
Learning Layers
Conclusion SRL is crucial for cultivation of lifelong learning competences How to facilitate SRL by technology? • individualized approach • right balance between freedom and guidance Proposed solution: PLE • recommendations • reflection How to evaluate SRL (in informal settings)? • Community Learning Analytics (various roles)
Lehrstuhl Informatik 5 (Information Systems)
Prof. Dr. M. Jarke
M. Kravcik
JTEL Summer School
April 2014 Slide 24
Learning Layers
References ROLE project: Responsive Open Learning Environments http://www.role-project.eu/ Learning Layers project: Scaling up Technologies for Informal Learning in SME Clusters http://learning-layers.eu/ BOOST project: Business perfOrmance imprOvement through individual employee Skills Training http://www.boost-project.eu/