Exploration of the Interplay Between Perceived Usefulness, Perceived Ease of Use, Facilitating Conditions, Computer Self-Efficacy, Instructor Efficiency, and Behavioral Intention to Distance Learning
Download PDF

Keywords

Distance learning
Perceived usefulness
Perceived ease of use
Facilitating conditions
Computer self-efficacy
Instructor efficiency
Behavioral intention

DOI

10.26689/ief.v2i4.7058

Submitted : 2024-05-21
Accepted : 2024-06-05
Published : 2024-06-20

Abstract

This study explores the acceptance of educational support technologies in distance learning within a Chinese higher education context. It examines the influence of perceived usefulness, perceived ease of use, facilitating conditions, computer self-efficacy, and instructor efficiency on students’ behavioral intention toward distance learning. Utilizing a quantitative approach with surveys and structural equation modeling, data from 720 participants at Mianyang Teachers’ College, China, were analyzed. The findings reveal significant positive effects of these factors on the intention to engage in distance learning, offering valuable insights for enhancing technology acceptance in educational settings.

References

Paul R, Tait A, 2019, Special Issue: Open Universities: Past, Present and Future. International Review of Research in Open and Distributed Learning, 20(4): i–viii.

García-Peñalvo FJ, Corell A, Rivero-Ortega R, et al., 2021, Impact of the COVID-19 on Higher Education: An Experience-Based Approach, in Information Technology Trends for a Global and Interdisciplinary Research Community, IGI Global, Hershey, Pennsylvania, 1–18.

Ananga P, 2020, Pedagogical Considerations of E-Learning in Education for Development in the Face of COVID-19. International Journal of Technology in Education and Science (IJTES), 4(4): 310–321.

Zuo M, Ma Y, Hu Y, et al., 2021, K-12 Students’ Online Learning Experiences During COVID-19: Lessons from China. Frontiers of Education in China, 16(1): 1–30.

Milheim K, Fraenza C, Palermo-Kielb K, 2021, Supporting Student Initiated Mobile Device Use in Online Learning. Online Learning, 25(3): 267–288.

Kant N, Prasad KD, Anjali K, 2021, Selecting an Appropriate Learning Management System in Open and Distance Learning: A Strategic Approach. Asian Association of Open Universities Journal, 16(1): 79–97.

Hair JF, Hult GTM, Ringle C, et al., 2017, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Sage Publications, Thousand Oaks, CA.

Henseler J, Ringle CM, Sarstedt M, 2015, A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of The Academy of Marketing Science, (43): 115–135.