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A Knowledge Map Tool for Supporting Learning in Information Science

In: Automation, Communication and Cybernetics in Science and Engineering 2013/2014

Author

Listed:
  • Helmut Vieritz

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Hans-Christian Schmitz

    (Fraunhofer Institute of Applied Information Technology FIT)

  • Effie Lai-Chon Law

    (University of Leicester, Department of Computer Science)

  • Maren Scheffel

    (Fraunhofer Institute of Applied Information Technology FIT)

  • Daniel Schilberg

    (RWTH Aachen University, IMA/ZLW & IfU)

  • Sabina Jeschke

    (RWTH Aachen University, IMA/ZLW & IfU)

Abstract

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-regulated learning with the goal of enabling students to learn independently.

Suggested Citation

  • Helmut Vieritz & Hans-Christian Schmitz & Effie Lai-Chon Law & Maren Scheffel & Daniel Schilberg & Sabina Jeschke, 2014. "A Knowledge Map Tool for Supporting Learning in Information Science," Springer Books, in: Sabina Jeschke & Ingrid Isenhardt & Frank Hees & Klaus Henning (ed.), Automation, Communication and Cybernetics in Science and Engineering 2013/2014, edition 127, pages 513-525, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-08816-7_40
    DOI: 10.1007/978-3-319-08816-7_40
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