Inferring Student Attention with ASQ
Autor: | Claudia Hauff, Vasileios Triglianos, Alessandro Bozzon, Cesare Pautasso |
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Rok vydání: | 2016 |
Předmět: |
Multimedia
business.industry Computer science 05 social sciences 050301 education computer.software_genre 050105 experimental psychology Session (web analytics) Broadcasting (networking) Active learning ComputingMilieux_COMPUTERSANDEDUCATION Web application 0501 psychology and cognitive sciences Tracking (education) business 0503 education computer |
Zdroj: | Adaptive and Adaptable Learning ISBN: 9783319451527 EC-TEL |
DOI: | 10.1007/978-3-319-45153-4_23 |
Popis: | ASQ is a Web application for broadcasting and tracking interactive presentations, which can be used to support active learning pedagogies during lectures, labs and exercise sessions. Students connect their smartphones, tablets or laptops to receive the current slide as it is being explained by the teacher. Slides can include interactive teaching elements (usually questions of different forms). In contrast to other existing platforms, ASQ does not only collect, aggregate and visualize the answers in real-time, it also supports the data analytics in the classroom paradigm by providing the teacher with a real-time analysis of student behaviour during the entire session. One vital aspect of student behaviour is (in)attention and in this paper we discuss how we infer — in real-time — student attention based on log traces ASQ collects. |
Databáze: | OpenAIRE |
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