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A knowledge map tool for supporting learning in information science

  • Large classes at universities(> 1600 students) create their own challenges for teaching and learning. Audience feedback is lacking and fine tuning of lectures, courses and exam preparation to address individual needs is very difficult to achieve. At RWTH Aachen University, a course concept and a knowledge map learning tool aimed to support individual students to prepare for exams in information science through theme-based exercises were developed and evaluated. The tool was grounded in the notion of self-regul ated learning with the goal of enabling students to learn independently.

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Metadaten
Author:Helmut Vieritz, Hans-Christian Schmitz, Effi Lai-Chon Law, Maren Scheffel, Daniel Schilberg, Sabina Jeschke
URN:urn:nbn:de:bsz:mh39-51424
Parent Title (English):Automation, communication and cybernetics in science and engineering
Publisher:Springer
Place of publication:Cham u.a.
Editor:Sabina Jeschke, Ingrid Isenhardt, Frank Hees, Klaus Henning
Document Type:Article
Language:English
Year of first Publication:2014
Date of Publication (online):2016/08/09
Reviewstate:Peer-Review
Tag:Higher Education; Information Science; Knowledge Map; Large Classes; Self-Regulated Learning
Volume:3
Issue:2013/2014
First Page:513
Last Page:525
Note:
Dieser Beitrag ist aus urheberrechtlichen Gr√ľnden nicht frei zug√§nglich.
Dewey Decimal Classification:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft
Open Access?:Nein
Licence (German):Es gilt das UrhG