Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context

Parisa Shayan, Roberto Rondinelli, Menno van Zaanen, Martin Atzmueller

Research output: Contribution to conferencePaperOther research output

Abstract

Learning Management Systems (LMSs) play a significant role in educational technology. In this paper, we analyze different approaches in order to investigate the acceptance of an LMS. Utilizing questionnaire information structured on the Technology Acceptance Model (TAM), we apply descriptive network modeling and analysis complementing basic statistical analysis in order to identify specific
patterns in the user data. We present the applied analysis methodology in detail, and demonstrate the connection to user modeling: here, descriptive statistics indicate student satisfaction with the usage (acceptance level) as a whole; network analysis indicates the level of variability w.r.t. the user questions, while specific patterns or motifs show the satisfaction levels for the different networks.
Original languageEnglish
Pages7-13
Publication statusPublished - 17 Sep 2019
EventABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond - Hof University of Applied Sciences, Hof, Germany
Duration: 17 Sep 2019 → …
https://fg-abis.gi.de/veranstaltung/abis-2019/

Conference

ConferenceABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond
Abbreviated titleABIS
CountryGermany
CityHof
Period17/09/19 → …
Internet address

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Educational technology
Electric network analysis
Statistical methods
Statistics
Students

Cite this

Shayan, P., Rondinelli, R., van Zaanen, M., & Atzmueller, M. (2019). Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context. 7-13. Paper presented at ABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, Hof, Germany.
Shayan, Parisa ; Rondinelli, Roberto ; van Zaanen, Menno ; Atzmueller, Martin. / Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context. Paper presented at ABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, Hof, Germany.
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Shayan, P, Rondinelli, R, van Zaanen, M & Atzmueller, M 2019, 'Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context' Paper presented at ABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, Hof, Germany, 17/09/19, pp. 7-13.

Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context. / Shayan, Parisa; Rondinelli, Roberto; van Zaanen, Menno; Atzmueller, Martin.

2019. 7-13 Paper presented at ABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, Hof, Germany.

Research output: Contribution to conferencePaperOther research output

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AB - Learning Management Systems (LMSs) play a significant role in educational technology. In this paper, we analyze different approaches in order to investigate the acceptance of an LMS. Utilizing questionnaire information structured on the Technology Acceptance Model (TAM), we apply descriptive network modeling and analysis complementing basic statistical analysis in order to identify specificpatterns in the user data. We present the applied analysis methodology in detail, and demonstrate the connection to user modeling: here, descriptive statistics indicate student satisfaction with the usage (acceptance level) as a whole; network analysis indicates the level of variability w.r.t. the user questions, while specific patterns or motifs show the satisfaction levels for the different networks.

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Shayan P, Rondinelli R, van Zaanen M, Atzmueller M. Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context. 2019. Paper presented at ABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, Hof, Germany.