Validating the Satisfaction and Continuance Intention of E-learning Systems: Combining TAM and IS Success Models

• Published in: International journal of distance education technologies Vol. 10; no. 1; pp. 44 - 54
• Main Authors: Lin, Tung-Cheng, Chen, Ching-Jen
• Format: Journal Article
• Language: English
• Published: Hershey IGI Global 01.01.2012
• Subjects: Acceptance; Adoption (Ideas); Attitudes; Blended Learning; College Science; College Students; Computer Software Evaluation; Continuing education; Copyrights; Course Content; Distance Education; Distance learning; Educational aspects; Educational Technology; Electronic Equipment; Electronic Learning; Evaluation Methods; Foreign Countries; Health Sciences; Influence of Technology; Information management; Information Processing; Information Systems; Integrated Learning Systems; Intention; Internet; Learning; Management; Nursing; Online education; Online instruction; Periodicals; Platforms; Public opinion; Self Efficacy; Structural equation modeling; Structural Equation Models; Student Attitudes; Student Surveys; Students; Success; Taiwan; Technology Acceptance Model; Technology application; Usability; Use Studies; User satisfaction; User Satisfaction (Information); Users; Validity; Web Based Instruction; Taiwan
• ISSN: 1539-3100; 1539-3119
• DOI: 10.4018/jdet.2012010103

Many e-learning studies have evaluated learning attitudes and behaviors, based on TAM. However, a successful e-learning system (ELS) should take both system and information quality into account by applying ISM developed by Delone and McLean. In addition, the acceptance for information system depends on the perceived usefulness and ease of use according to TAM. This research combined TAM with ISM by introducing system quality, quality of platform information, and course information as an antecedent of perceived usefulness and perceived ease of use. These factors were crucial for understanding users’ intention to continue their use of ELS. This study investigated 412 students with ELS experiences. The results indicate that system quality, platform information, and course information had significantly related to user satisfaction and their intention to use ELS continuously.