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Students’ Perceptions of Barriers in Four Teaching Formats: a Quantitative Study
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Data Society.ORCID iD: 0000-0002-3488-708X
Osnabrück University BOW, 49069, Osnabrück, Germany.ORCID iD: 0000-0002-4462-227X
2024 (English)In: Digital Economy. Emerging Technologies and Business Innovation: 9th International Conference on Digital Economy, ICDEc 2024, Rabat, Morocco, May 9–11, 2024, Proceedings, Part I / [ed] Mohamed Anis Bach Tobji; Rim Jallouli; Hicham Sadok; Kaltoum Lajfari; Driss Mafamane; Houda Mahboub, Springer, 2024, p. 154-160Conference paper, Published paper (Refereed)
Abstract [en]

During the pandemic, insights into the large-scale use of multiple instructional methods were generated. Building upon existing categories of barriers to digital higher education teaching, this short paper explores the relationship between these barriers to different teaching formats (face-to-face, blended, hybrid, and online). With a survey, we collected data during the fall of 2023 from 192 student participants. Results indicate a higher perception of barriers to online teaching. Still, face-to-face teaching scores higher on bodily discomfort. Meanwhile, blended and hybrid formats score consistently between face-to-face and online teaching. Our results conclude that online teaching needs more investment in research and implementation to become the new normal.

Place, publisher, year, edition, pages
Springer, 2024. p. 154-160
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 530
Keywords [en]
Adversarial machine learning; Federated learning; Barrier; Digitalization; Face to face; High educations; Instructional methods; Large-scales; Online teaching; Quantitative study; Student perceptions; Teaching format; Contrastive Learning
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mau:diva-72780DOI: 10.1007/978-3-031-76365-6_10Scopus ID: 2-s2.0-85211437744ISBN: 978-3-031-76364-9 (print)ISBN: 978-3-031-76365-6 (electronic)OAI: oai:DiVA.org:mau-72780DiVA, id: diva2:1921632
Conference
9th International Conference on Digital Economy, ICDEc 2024, Rabat, Morocco, May 9–11, 2024
Available from: 2024-12-16 Created: 2024-12-16 Last updated: 2024-12-16Bibliographically approved

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Packmohr, Sven

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