Drivers of E-Learning Adoption in Undergraduate Acting Education

E-learning is increasingly central to higher education, yet its adoption in embodied, practice-led disciplines such as actor training remains under-researched. This study examines the determinants of undergraduate acting majors’ behavioral intention (BI) toward e-learning and evaluates a faculty-initiated Strategic Plan (SP) designed to address them. Using an explanatory sequential mixed-methods design integrating TAM3, UTAUT2, and Diffusion of Innovations theory, the diagnostic phase surveyed 100 students; Multiple Linear Regression identified Habit (β = 0.293), Perceived Ease of Use (β = 0.247), and Compatibility (β = 0.213) as the only significant predictors of BI, whereas Perceived Usefulness, Social Influence, Facilitating Conditions, and Hedonic Motivation were non-significant. A three-workstream SP—targeting interface usability, weekly micro-routines, and compatibility-by-design mapping—was then implemented with 30 third-year students over one academic term. Paired-samples t-tests showed statistically significant, large improvements on the three predictor constructs—Compatibility (dz = 1.479), Perceived Ease of Use (dz = 1.123), and Habit (dz = 1.012)—and on BI itself (dz = 0.950), while non-driver constructs showed no significant change. Semi-structured interviews with six students provided supplementary insight. The findings suggest that in studio-based performing arts education, light-touch, pedagogy-aligned interventions can meaningfully shift adoption-relevant perceptions without compromising the embodied core of actor training, contributing discipline-specific evidence to the technology acceptance literature.

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Publication Details

Journal
ABAC ODI JOURNAL Vision. Action. Outcome
Published
2026-10-28
DOI
https://doi.org/10.14456/abacodijournal.2026.56
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

Drivers of E-Learning Adoption in Undergraduate Acting Education

Yiyang Du
ABAC ODI JOURNAL Vision. Action. Outcome
Technology Adoption and User Behaviour
article

Drivers of E-Learning Adoption in Undergraduate Acting Education

Yiyang Du
article en

Abstract

E-learning is increasingly central to higher education, yet its adoption in embodied, practice-led disciplines such as actor training remains under-researched. This study examines the determinants of undergraduate acting majors’ behavioral intention (BI) toward e-learning and evaluates a faculty-initiated Strategic Plan (SP) designed to address them. Using an explanatory sequential mixed-methods design integrating TAM3, UTAUT2, and Diffusion of Innovations theory, the diagnostic phase surveyed 100 students; Multiple Linear Regression identified Habit (β = 0.293), Perceived Ease of Use (β = 0.247), and Compatibility (β = 0.213) as the only significant predictors of BI, whereas Perceived Usefulness, Social Influence, Facilitating Conditions, and Hedonic Motivation were non-significant. A three-workstream SP—targeting interface usability, weekly micro-routines, and compatibility-by-design mapping—was then implemented with 30 third-year students over one academic term. Paired-samples t-tests showed statistically significant, large improvements on the three predictor constructs—Compatibility (dz = 1.479), Perceived Ease of Use (dz = 1.123), and Habit (dz = 1.012)—and on BI itself (dz = 0.950), while non-driver constructs showed no significant change. Semi-structured interviews with six students provided supplementary insight. The findings suggest that in studio-based performing arts education, light-touch, pedagogy-aligned interventions can meaningfully shift adoption-relevant perceptions without compromising the embodied core of actor training, contributing discipline-specific evidence to the technology acceptance literature.

ABAC ODI JOURNAL Vision. Action. Outcome
Quality education
Openalex Percentile: Top 16%
Technology Adoption and User Behaviour
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Drivers of E-Learning Adoption in Undergraduate Acting Education — Yiyang Du · ABAC ODI JOURNAL Vision. Action. Outcome (2026) | TGRS Research Map | TGRS