The use of Audience Response Systems (ARSs) for tech-enhanced learning scenarios has proven to address issues occurring within higher education, e.g. the missing interaction between the lecturer and the students. Since the majority of these systems relies on a single supported didactic concept and therefore has a limited set of provided functions, ARSs are currently restricted to support classic content-based as well as enquiry-based learning. The support of more advanced didactic concepts in order to investigate studio-based learning is currently not possible due to the lacking collaborative and cooperative functionality. This paper presents a unified (meta-)model which is able to express various scenarios, targeting the holistic support of content-based, enquiry-based and studio-based learning. The created model is evaluated within a user study to reason about the applicability of its underlying concept as well as the defined function blocks. In addition, this paper purposes ideas for a future graphical editor, which will support the modeling process, and provides concrete details for a possible implementation of a system on top of the (meta-)model. Index Terms—audience response systems, collaborative learning, adaptability, meta-model, domain-specific language, highereducation, technology-enhanced learning
Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:79171 |
Date | 13 May 2022 |
Creators | Kubica, Tommy, Shmelkin, Ilja, Schill, Alexander |
Publisher | IEEE |
Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
Language | English |
Detected Language | English |
Type | info:eu-repo/semantics/acceptedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
Rights | info:eu-repo/semantics/openAccess |
Relation | 978-1-7281-2464-3, 10.1109/ITHET46829.2019.8937354, info:eu-repo/grantAgreement/Deutsche Forschungsgemeinschaft/Research Training Group/GRK 1907//Role-based Software Infrastructures for continuouscontext- sensitive Systems/RoSI |
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