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Design and application of intelligent teaching space for blended teaching

Bibliographic Data

ID21631397
AuthorsYang Yuhui (0000-0003-1081-9813, Information Technology Center, Zhejiang University, Hangzhou, People’s Republic of China, corresponding author), Yuhui Yang (0000-0001-7746-0118, Information Technology Center, Zhejiang University, Hangzhou, People’s Republic of China), Hao Zhang (0000-0003-0232-5565, Hangzhou Normal University), Huifang Chai (0000-0002-4360-2592, Information Technology Center, Zhejiang University, Hangzhou, People’s Republic of China), Wei Xu (0000-0002-4727-1540, Zhejiang University of Technology)
Year2023
Volume31
Issue10
Pages6147-6164
Publication date2023-12-15
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInteractive Learning Environments (JOURNAL)
Journal identifiersISSN: 1049-4820 • E-ISSN: 1744-5191
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10494820.2022.2028857
OpenAlexW4207051412
LanguageEN
Citations received10
References cited31

The COVID-19 pandemic has accelerated the transformation of education forms, and the combination of online and offline teaching has become the core development direction of university teaching at present and in the future. Therefore, appropriate teaching space is urgently needed to support the practice of blended teaching. Firstly, this paper introduces the practice of intelligent teaching space supporting blended teaching and analyzes its existing problems in China. Secondly, aiming at these problems and the new characteristics of blended teaching development, this paper designs the system architecture of the intelligent teaching space, and applied it to the construction of “Learning in ZJU” in Zhejiang University. Finally, the paper presents a variety of blended teaching cases of “Learning in ZJU” and their application effects, and analyzes them by SWOT. The SWOT analysis shows that the system architecture of the intelligent teaching space has advantages in the blended teaching application of space, time, method, evaluation and analysis. It can provide reference for the construction of intelligent teaching space and the application of blended teaching in other universities

Blended Learning · Educational technology · Engineering management · Mathematics education · Multimedia · Online Teaching · SWOT Analysis · Teaching and learning center · Teaching method · Computer Science · Engineering · Mathematics · Online and Blended Learning · Architecture · Artificial Intelligence

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Unique citing works10
Citations per year2,5
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 10

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