Predicting the continued use of Internet-based learning technologies: the role of habit
Abstract
The proliferation and advance of Internet-based technologies create expanded opportunities for educators to provide students with better learning experiences. Although current studies focus mostly on the learning processes and learning outcomes, this article examines the students' usage behaviour with Internet-based learning technologies across time. A research model of continued usage of Internet-based learning technologies was developed by extending the information systems (IS) continuance model. Specifically, the research model attempted to explain the fact that frequently performed behaviours tend to be automatic over time, and habit was posited as a moderating effect on determining student's continued use of the Internet-based learning technologies. The proposed research model was empirically validated using a longitudinal survey of the use of Internet-based learning technologies among student subjects. The research model explained 20% of the variance in IS continuance usage and 50% of the variance in IS continuance intention. Habit was found significantly moderating the relationship between IS continuance intention and IS continuance usage. The article concludes with a discussion on the implications of results for research and practice.
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Exploring potential gratifications that individuals seek from a media or service can provide insight into the reasons for continued use of a given media.
“Exploring potential gratifications that individuals seek from a media or service can provide insight into the reasons for continued use of a given media (Limayem & Cheung, 2011).”
From Uses and Gratifications of digital photo sharing on Facebook (2016) · cites this paper as Limayem & Cheung, 2011
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“Exploring potential gratifications that individuals seek from a media or service can provide insight into the reasons for continued use of a given media (Limayem & Cheung, 2011).”
Tracking e-learning through published papers: A systematic review
Rodrigues, H., Almeida, F., Figueiredo, V., & Lopes, S. L. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.03.007 · Cited by 399 · see citing works
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- Authors
- Limayem, M., & Cheung, C. M. K.
- Affiliations
- University of Arkansas System (US)
- Hong Kong Baptist University (HK)
- Corresponding author
- Cheung, Christy M.K.
- ORCID
- Cheung, Christy M.K.
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2011-01
- Volume
- 30
- Issue
- 1
- Pages
- 91-99
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W1974287258
- Cited by
- 191
- References
- 4
- Citations by year
- 2026: 5 · 2025: 13 · 2024: 18 · 2023: 14 · 2022: 12 · 2021: 23 · 2020: 13 · 2019: 24 · 2018: 7 · 2017: 16 · 2016: 8 · 2015: 9 · 2014: 9 · 2013: 9 · 2012: 9
- FWCI
- 14.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behaviour and Information Technology (publishedVersion)
- HKBU Institutional Repository (Hong Kong Baptist University) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- habit, continuance intention, continuance usage, moderating effect, e-learning adoption, automatism
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