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-regulated learning with the goal of enabling students to learn independently.
KeywordsKnowledge Map Large Classes Self-Regulated Learning Higher Education Information Science
The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement no 231396 (ROLE project). Additional funding at the RWTH Aachen University was received from the Federal Ministry of Education and Research (BMBF) for the project Excellence in Teaching and Learning in Engineering Sciences (ELLI project).
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