In recent years, the adoption of digital learning environments has been proven as a suitable complement to traditional lectures, allowing to involve students more actively. However, current approaches lack at supporting both lecturers' individual teaching scenarios and collaborative activities. Thus, this thesis introduces an adaptable collaborative learning environment that enables lecturers to model and execute customized teaching scenarios. In addition to expressive means of adaptation, it includes collaborative functions which support group and peer interactions. The approach was implemented in a role-based prototype called scenario-tailored Audience Response System (stARS), demonstrating its applicability through seven well-known teaching scenarios. Furthermore, a thorough evaluation based on various user studies and lecture experiments confirmed the ability to support lecturers' individual teaching scenarios and integrate advanced collaborative activities into digital learning environments.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:77811 |
| Date | 04 February 2022 |
| Creators | Kubica, Tommy |
| Contributors | Schill, Alexander, Bollin, Andreas, Strufe, Thorsten, Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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