Video demonstrations can predict the intention to use digital learning technologies

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01A - Journal article
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British Journal of Educational Technology
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Wiley
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Abstract
The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended tech-nology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to use. Technology acceptance is typically measured after the technology has been used for at least three months. This study aims to identify whether a minimal amount of exposure to the technology using video demonstrations is sufficient to predict the intention to use it three months later. In two studies—one using TAM and one using GETAMEL—we showed students of different cohorts (94 and 111 participants, respectively) video demonstra-tions of four digital technologies (classroom response system, classroom chat, e-lectures, mobile virtual real-ity). We then measured technology acceptance imme-diately after the demonstration and after three months of technology use. Using partial least squares model-ling, we found that perceived usefulness significantly predicted the intention to use three months later. In GETAMEL, perceived usefulness significantly predicted the intention to use for three of the four learning technol-ogies, while subjective norm only predicted the inten-tion to use for mobile virtual reality. We conclude that video demonstrations can provide valuable insight for decision-makers and educators on whether students will use a technology before investing in it.
Keywords
digital learning technologies, e-learning, perceived usefulnes, virtual reality
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0007-1013
1467-8535
Language
English
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Yes
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Published
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Peer review of the complete publication
Open access category
Hybrid
License
'https://creativecommons.org/licenses/by-nc-nd/4.0/'
Citation
Sprenger, D., & Schwaninger, A. (2023). Video demonstrations can predict the intention to use digital learning technologies. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13298

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