Technology acceptance model of online learning management systems in higher education: A meta-analytic structural equation model
Abstract
The present meta-analysis employs meta-analytic structural equation modeling (MASEM) to quantitatively synthesize studies that investigates college students’ acceptance of online learning managements systems. This study combined meta-analysis and path analysis to extend and refine the Technology Acceptance Model (TAM) within a higher education online learning environment context. Analyses of 13 studies representing 3407 undergraduate students from world-wide universities were conducted. The study investigated four path models (e.g., fixed-effects and random-effects) measuring different combinations of variables and formed conclusions about the relationships between the variables that were available. The model fit of each path model suggested mixed-results. Some models resulted in an acceptable fit, while others resulted in poor fit. Invariance tests resulted in statistically different findings across multiple parameter estimates, suggesting little to no replicability of findings across studies. Educational technology researchers should be cautious when forming conclusions about undergraduate online learning management systems based on the TAM.
Subject
technology acceptance modelmeta-analytic structural equation model
structural equation model
learning management system
meta-analysis
higher education
technology adoption
Department
Veterinary Integrative BiosciencesCollections
Citation
The following license files are associated with this item:
Except where otherwise noted, this item's
license is described as
Attribution-NoDerivs 3.0 United States
Related items
Showing items related by title, author, creator and subject.
-
Tillery, Sue; Sheng, Zhuping; King, J. Phillip; Creel, Bobby; Brown, Christopher; Michelsen, Ari; Srinivasan, Raghavan; Granados, Alfredo (Texas Water Resources Institute, 2009)This report fulfills the deliverables required by the cooperative agreement between the U.S. Army Corps of Engineers and Texas AgriLife Research (TAES/03-PL-02: Modification No. 3) on behalf of the Paso del Norte Watershed ...
-
Khan, Mughees Mahmood (Texas A&M University, 2002)Advances in smart materials and structures technology, especially in applications of Shape Memory Alloys (SMA) as actuators and vibration isolation devices, require understanding of the nonlinear hysteretic response found ...
-
Bush, Barbara Hicks (Texas A&M University. Libraries, 1976)This investigation was conducted to determine whether the age and sex of mediated teacher-models affect the knowledge acquisition and the attitudinal preferences of female undergraduate elementary education students. The ...