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ERIC Number: EJ1343926
Record Type: Journal
Publication Date: 2021
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1550-1876
EISSN: EISSN-1550-1337
Available Date: N/A
Exploring Technical Quality Factors That Enhance Mobile Learning Applications Services Using Data Mining Techniques
Abu-Al-Aish, Ahmad
International Journal of Information and Communication Technology Education, v17 n4 Article 14 2021
Mobile learning (m-learning) has become an increasingly attractive solution for schools and universities that utilize new technologies in their teaching and learning setting. This study investigates the technical factors affecting the development of m-learning applications services from students' perspectives. It presents a model consisting of twelve technical factors, including content usefulness, scalability, security, functionality, accessibility, interface design, interactivity, reliability, availability, trust, responsiveness, and personalization. To evaluate the model, a questionnaire was designed and distributed to 151 students in Jerash University, Jordan. The results indicate that all technical factors have positive affects on learner satisfaction and overall m-learning applications services, however the data mining analysis revealed that security and scalability factors exert a major impact on student satisfaction with m-learning applications services. This study gives insight for the future of developing and design m-learning applications.
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Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Jordan
Grant or Contract Numbers: N/A
Author Affiliations: N/A