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.
Download full text files
- Vieritz_Schmitz_Knowledge_Map_Tool_2014.pdf
(IDS-intern)
Additional Services
Statistics
| 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 Gründen nicht frei zugänglich. |
| DDC classes: | 000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft |
| Open Access?: | nein |
| Licence (German): |  Urheberrechtlich geschützt |