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

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

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 conference › Paper › Other 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 language	English
Pages	7-13
Publication status	Published - 17 Sept 2019
Event	ABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond - Hof University of Applied Sciences, Hof, Germany Duration: 17 Sept 2019 → … https://fg-abis.gi.de/veranstaltung/abis-2019/

Conference

Conference	ABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond
Abbreviated title	ABIS
Country/Territory	Germany
City	Hof
Period	17/09/19 → …
Internet address	https://fg-abis.gi.de/veranstaltung/abis-2019/

Cite this

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title = "Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context",

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.",

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year = "2019",

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pages = "7--13",

note = "ABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, ABIS ; Conference date: 17-09-2019",

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Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context. / Shayan, Parisa; Rondinelli, Roberto; van Zaanen, Menno et al.
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 conference › Paper › Other research output

TY - CONF

T1 - Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context

AU - Shayan, Parisa

AU - Rondinelli, Roberto

AU - van Zaanen, Menno

AU - Atzmueller, Martin

PY - 2019/9/17

Y1 - 2019/9/17

N2 - 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.

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 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.

M3 - Paper

SP - 7

EP - 13

T2 - ABIS 2019 - 23rd International Workshop on Personalization and Recommendation on the Web and Beyond

Y2 - 17 September 2019

ER -

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

Abstract

Conference

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