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The effects of education compatibility and technological expectancy on e-learning acceptance

Computers & Education Volume 57, Number 2, ISSN 0360-1315 Publisher: Elsevier Ltd


Discerning what influences a student’s acceptance of e-learning is still unclear and has not been well investigated. On the basis of the expectancy-value theory, much effort has been put into identifying the effectual factors regarding the technological expectancy of students. However, aside from technological usage, the adoption of an e-learning system still must consider learning behavior. Thus, researchers should take into consideration both technological and learning expectancies of students while investigating e-learning acceptance. Following mainstream literature on information system acceptance, this study postulates that a student’s behavioral intention to accept an e-learning system is determined both by his or her technological expectancy and educational compatibility. Four primary factors, that is, performance expectancy, effort expectancy, social influence, and facilitating conditions, specified in the Unified Theory of Acceptance and Use of Technology (UTAUT) are used to reflect the technological expectancy of students. Further, educational compatibility, which refers the congruence of e-learning systems with the unique leaning expectancies of students, is integrated with the UTAUT to form a new theoretical model for e-learning acceptance. An empirical survey is conducted to examine the proposed model. A total of 626 valid samples were collected from the users of an e-learning system. The findings show that both technological expectancy and educational compatibility are important determinants of e-learning acceptance. However, educational compatibility reveals a greater total effect on e-learning acceptance than does technological expectancy. Implications and practical guidelines for both e-learning developers and practitioners are subsequently presented.


Chen, J.L. (2011). The effects of education compatibility and technological expectancy on e-learning acceptance. Computers & Education, 57(2), 1501-1511. Elsevier Ltd. Retrieved July 10, 2020 from .

This record was imported from Computers & Education on January 29, 2019. Computers & Education is a publication of Elsevier.

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