Extended Technology Acceptance Models for Digital Learning: Review of External Factors-Reference-Cited by-同舟云学术

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Extended Technology Acceptance Models for Digital Learning: Review of External Factors

Published:2022-09-23 Issue: Volume: Page:52-63
ISSN:2367-3370
Container-title:Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022)
language:
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Author:

Krouska Akrivi^ORCID,Troussas Christos^ORCID,Sgouropoulou Cleo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-17601-2_6

Reference38 articles.

1. Troussas, C., Krouska, A., Alepis, E., Virvou, M.: Intelligent and adaptive tutoring through a social network for higher education. New Rev. Hypermedia Multimedia 26(3–4), 138–167 (2020)

2. Troussas, C., Krouska, A., Virvou, M.: A multilayer inference engine for individualized tutoring model: adapting learning material and its granularity. Neural Comput. Appl. 1–15 (2021). https://doi.org/10.1007/s00521-021-05740-1

3. Troussas, C., Krouska, A., Sgouropoulou, C.: Collaboration and fuzzy-modeled personalization for mobile game-based learning in higher education. Comput. Educ. 144, 103698 (2020)

4. Troussas, C., Krouska, A., Sgouropoulou, C.: Enriching mobile learning software with interactive activities and motivational feedback for advancing users’ high-level cognitive skills. Computers 11(2), 18 (2022)

5. Krouska, A., Troussas, C., Voulodimos, A., Sgouropoulou, C.: A 2-tier fuzzy control system for grade adjustment based on students’ social interactions. Exp. Syst. Appl. 117503 (2022)

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