Expanding The Technology Acceptance Model (TAM) to Examine Faculty Use of Learning Management Systems (LMSs) In Higher Education Institutions

Universities have made a considerable investment in the use of Learning Management Systems (LMSs) to facilitate their teaching learning processes; however these systems are not used by the faculty members to their fullest capabilities.

To address this issue, this study investigated factors that affect faculty members’ LMSs usage behavior, focusing on user related variables and their pivotal role in determining faculty attitudes toward LMSs.

This study offers an empirical evaluation of an extension of Davis’s (1989)’s Technology Acceptance Model (TAM) to investigate how faculty members’ beliefs and attitudes influence their intention and actual use of LMSs under conditions of non-mandatory use of LMSs in higher education institutions.

Data were obtained from 560 faculty members (from two universities) and analyzed using Structural Equation Modeling. The study results revealed that the three proposed external variables: system quality; perceived self-efficacy and facilitations conditions were significant predictors of faculty attitude towards LMSs.

Similar to prior research findings, the study results further confirmed the validity of the extended TAM in determining users’ technology acceptance behavior.

The study also addressed the implications of the findings for researchers and practitioners.

Type of providerPrivate provider-International initiative
EQF levelNo applicable
Home pagehttps://www.merlot.org/merlot/viewMaterial.htm?id=1053019
Admission procedureOpen to all
Price detailsFor free
Type of credentialNone
Learning outcomeExpanding The Technology Acceptance Model (TAM) – LO
Two major purposes of the study are:
  1. to identify the factors that influence faculty members LMS usage behavior and
  2. to determine the underlying causal relationships among the factors.
The core expectation is that understanding the factors that affect faculty members’ LMS usage behavior can shed light on the development, selection, training, maintenance and investments on such systems. To this end, the current study utilized Davis’s (1989) Technology Acceptance Model (TAM) as a baseline model to predict faculty intention and usage of LMS in higher education institutions. Also, this study proposes an extension of the original TAM by including three external variables: system quality, perceived self-efficacy and facilitating conditions in it and examines its validity in explaining faculty members’ LMS usage behavior. By conducting an empirical study among university faculty members, this study presents important findings pertaining to faculty attitude under conditions of non-mandatory use of LMSs. Based on the findings; the significant determinants of LMS usage are discussed
Related skillhttp://data.europa.eu/esco/skill/S1.3.00

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