Key Factors to Instructors' Satisfaction of Learning Management Systems in Blended Learning
ARTICLE
Kamla Ali Al-Busaidi, Hafedh Al-Shihi
Journal of Computing in Higher Education Volume 24, Number 1, ISSN 1042-1726
Abstract
Learning Management System (LMS) enables institutions to administer their educational resources, and support their traditional classroom education and distance education. LMS survives through instructors' continuous use, which may be to a great extent associated with their satisfaction of the LMS. Consequently, this study examined the key factors that influence the instructors' satisfaction of LMS in blended learning, and how this satisfaction is related to their intention to continuously use LMS in blended learning and purely for distance education. These investigated factors are related to instructors' individual characteristics (computer anxiety, technology experience and personal innovativeness), LMS characteristics (system quality, information quality and service quality), and organizational characteristics (management support, incentives policy and training). The findings indicated that computer anxiety, personal innovativeness, system quality, information quality, management support, incentives policy and training are key factors to instructors' satisfaction of LMS in blended learning. Furthermore, instructors' satisfaction is a significant determinant of their continuous intention to use LMS in blended learning, and their intention to purely use LMS for distance education.
Citation
Al-Busaidi, K.A. & Al-Shihi, H. (2012). Key Factors to Instructors' Satisfaction of Learning Management Systems in Blended Learning. Journal of Computing in Higher Education, 24(1), 18-39. Retrieved May 29, 2023 from https://www.learntechlib.org/p/68009/.

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Keywords
- Anxiety
- blended learning
- College Faculty
- College Instruction
- Computer Attitudes
- Computer Uses in Education
- Correlation
- distance education
- educational resources
- educational technology
- influences
- innovation
- Institutional Characteristics
- Integrated Learning Systems
- Intention
- Predictor Variables
- Satisfaction
- Teacher Characteristics