Support for Reading Comprehension in Digital Course Texts
| dc.contributor.author | Menze, Dennis | |
| dc.contributor.author | Seidel, Niels | |
| dc.contributor.editor | Mandausch, Martin | |
| dc.contributor.editor | Henning, Peter A. | |
| dc.date.accessioned | 2023-01-13T13:11:48Z | |
| dc.date.available | 2023-01-13T13:11:48Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Both reading textbooks and answering quizzes lead to better recall of learning content and better learning outcomes, especially when both forms are combined interactively. Nevertheless, existing solutions in learning management systems usually offer reading and quizzes separately. This work aims to improve this by measuring and visualizing students’ reading comprehension based on their answers to automatically displayed questions about the text sections they have just read. First, a comprehensive overview of the state of research on reading comprehension is given. Then, a prototypical realization of a partially adaptive system for supporting reading comprehension is presented. Finally, possible extensions to improve adaptivity, interventions, automation, and measurement of reading comprehension are discussed. | en |
| dc.identifier.doi | 10.18420/delfi2022-ws-21 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/39916 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Proceedings of DELFI Workshops 2022 | |
| dc.relation.ispartofseries | DELFI | |
| dc.subject | reading comprehension | |
| dc.subject | reading analytics | |
| dc.subject | learning analytics | |
| dc.title | Support for Reading Comprehension in Digital Course Texts | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 116 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 105 | |
| gi.conference.date | 12.-14. September 2022 | |
| gi.conference.location | Karlsruhe | |
| gi.conference.sessiontitle | DELFI: Workshop | |
| gi.document.quality | digidoc |
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