WIP: (Almost) Anywhere Virtual Computing Learning Environment: Student Technology Acceptance

This work in progress innovative practice paper details our open source approach, which directly addresses new challenges to equitable access and privacy originating from increased technology-driven learning. We provide results from the Technology Acceptance Model's anonymous survey approach for a second-year introductory networking and a fourth-year operating systems course that employed the environment with comparable respondent characteristics. Although perceived ease of use and perceived use are in the middle of possible ranges, we find an interesting reversal for the network course, where student attitudes are low despite high perceptions. Future work will be directed at further refinements of the framework and a more in-depth evaluation of the privacy concerns that students might have and whether these could be included in the Technology Accentance Model.

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Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/fie61694.2024.10893156
Primary Topic
Online Learning and Analytics
Type
article
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article

WIP: (Almost) Anywhere Virtual Computing Learning Environment: Student Technology Acceptance

Patrick Seeling, Michael P. McGarry
Online Learning and Analytics
article

WIP: (Almost) Anywhere Virtual Computing Learning Environment: Student Technology Acceptance

Patrick Seeling, Michael P. McGarry
article en

Abstract

This work in progress innovative practice paper details our open source approach, which directly addresses new challenges to equitable access and privacy originating from increased technology-driven learning. We provide results from the Technology Acceptance Model's anonymous survey approach for a second-year introductory networking and a fourth-year operating systems course that employed the environment with comparable respondent characteristics. Although perceived ease of use and perceived use are in the middle of possible ranges, we find an interesting reversal for the network course, where student attitudes are low despite high perceptions. Future work will be directed at further refinements of the framework and a more in-depth evaluation of the privacy concerns that students might have and whether these could be included in the Technology Accentance Model.

Central Michigan University (US), The University of Texas at El Paso (US)
Openalex Percentile: Top 71%
Online Learning and Analytics
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