How do facilitating conditions influence student-to-student interaction within an online learning platform? A new typology of the serial mediation model
Open accessAbstract
This study investigates factors affecting university student-to-student interaction within online learning platforms. A new model was proposed based on the United Theory of Acceptance and Use of Technology (UTAUT). The single-stage cluster-sampling method was employed, and 113 university students in Hong Kong were respondents. It was found that Information Quality, Social Influence, and Facilitating Conditions affect students’ intention to interact with each other. A quasi-full mediation model was established of the mechanism from Facilitating Conditions to students’ interaction behavior. The direct effect of Facilitating Conditions on students’ interaction and the effect of System Quality on the intention of student interaction were not significant. A fast network, computing facilities, and mobile-friendly software are possible candidates of the virtual environment conditions affecting the intention of student-interaction behavior within online learning platforms.
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Accessible devices, stable network conditions, appropriate usage environments, and timely technical support may reduce perceived barriers and improve students' confidence in using the system.
“In the context of AR-assisted CBT, accessible devices, stable network conditions, appropriate usage environments, and timely technical support may reduce perceived barriers and improve students’ confidence in using the system [101,102].”
From Advancing Undergraduate Student Mental Healthcare of Social Anxiety Disorder: Evaluating the Acceptance of AR-Assisted Cognitive Behavioral Therapy Through TAM-Based Constructs. (2026) · cites this paper as [101]
The Discussion links fast Wi-Fi, computing facilities, and mobile-friendly software to students’ intention to interact on an online platform; the facilitating-conditions measures also include someone available to help with platform difficulties. The paper does not establish that these conditions reduce perceived barriers or improve confidence, and it studies online student interaction rather than AR-assisted CBT. (LLM, conf=0.84)
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“For example, Wut et al. (59) found that conditions such as fast internet, computing facilities, and mobile-compatible software enhance students’ willingness to engage with online learning platforms.”
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“Social influence tends to affect the student’s intention to interact with their instructor to use online learning and directly impacts educators’ behaviour and intention to use the technologies (Wut et al., 2022).”
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Figueiredo, R., Camargo, M. E., Ferreira, J. J., Zhang, Z., & Liu, Y. D. (2023) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.333689 · Cited by 7 · see citing works
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“The instrument used in this study is adapted from different researchers: Onaolapo and Oyewole (2018), Chao (2019), and Wut et al. (2022).”
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“The same is also found in Wut's research (Wut et al., 2022).”
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- Authors
- Wut, T. M., Lee, S. W., & Xu, J. (.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Corresponding author
- Wut, Tai Ming
- Venue
- Education Sciences
- Publisher
- MDPI AG
- Published
- 2022-05-11
- Volume
- 12
- Issue
- 5
- Pages
- 337
- ISSN
- 2227-7102 (ISSN-L)
- OpenAlex
- W4280558363
- Cited by
- 50
- References
- 21
- Citations by year
- 2026: 8 · 2025: 9 · 2024: 18 · 2023: 11 · 2022: 4
- FWCI
- 22.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Education Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Education › Online and Blended Learning
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Education › Technology-Enhanced Education Studies
- Keywords
- student-student interaction, online learning platforms, facilitating conditions, UTAUT, information quality, social influence, system quality, serial mediation, virtual learning environments, computer facilities
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