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 [email protected]JTEL Summer School, Malta, April 29, 2014
24
Embed
Supporting Self-Regulated Learning by Personal Learning Environments
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.
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
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
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/
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
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
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
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.
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)
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.
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.
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)
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/