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University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model
Author(s) -
Park Sung Youl,
Nam MinWoo,
Cha SeungBong
Publication year - 2012
Publication title -
british journal of educational technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.79
H-Index - 95
eISSN - 1467-8535
pISSN - 0007-1013
DOI - 10.1111/j.1467-8535.2011.01229.x
Subject(s) - structural equation modeling , lisrel , psychology , technology acceptance model , educational technology , mathematics education , construct (python library) , relevance (law) , usability , applied psychology , social psychology , computer science , human–computer interaction , machine learning , political science , law , programming language
As many Korean universities have recommended the implementation of mobile learning (m‐learning) for various reasons, the number of such tertiary learning opportunities has steadily grown. However, little research has investigated the factors affecting university students' adoption and use of m‐learning. A sample of 288 Konkuk university students participated in the research. The process by which students adopt m‐learning was explained using structural equation modeling technique and the Linear Structural Relationship (LISREL) program. The general structural model based on the technology acceptance model included m‐learning self‐efficacy, relevance for students' major (MR), system accessibility, subjective norm (SN), perceived usefulness, perceived ease of use, attitude (AT), and behavioral intention to use m‐learning. The study results confirmed the acceptability of the model to explain students' acceptance of m‐learning. M‐learning AT was the most important construct in explaining the causal process in the model, followed by students' MR and SN.