Integrating Mobile Learning to Learning Management System in Community College

Autor/inn/en	Hu, Xiao; Ng, Jeremy; Tsang, Kitty K. Y.; Chu, Samuel K. W.
Titel	Integrating Mobile Learning to Learning Management System in Community College
Quelle	In: Community College Journal of Research and Practice, 44 (2020) 10-12, S.722-737 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Hu, Xiao)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1066-8926
DOI	10.1080/10668926.2019.1640146
Schlagwörter	Integrated Learning Systems; Electronic Learning; Community Colleges; Two Year College Students; Technology Integration; Learner Engagement; Academic Achievement; Handheld Devices; Access to Education; Student Experience; Predictor Variables; Expectation; Prompting; Foreign Countries; Hong Kong + Suchen Sie Ihr Suchwort? Community college; Community College; Schulleistung; Education; Access; Bildung; Zugang; Bildungszugang; Studienerfahrung; Prädiktor; Expectancy; Erwartung; Benutzerführung; Ausland; Hongkong
Abstract	This article reports findings from a study that aims to understand how to integrate mobile-learning into Learning Management System (LMS) in a community college in Hong Kong. In this study, a mobile-enabled LMS named SOUL was adopted to improve students' learning engagement and academic performance. Participating students were segregated into two groups where one was prompted by the instructor to use mobile access while another group was not prompted. A survey was conducted to investigate students' use of SOUL via mobile access and the factors influencing their adoption of mobile access to SOUL based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Semi-structured interviews were conducted with students to collect in-depth explanations regarding their experience with SOUL via mobile access. The study reveals that many students used SOUL with their mobile devices despite not being prompted. It was also found that students most frequently accessed SOUL via their mobile devices for retrieving learning resources and information owing to immediate availability and convenience brought by the notification of its native mobile app. Multiple linear regression analyses revealed that facilitating conditions and performance expectancy were the only significant predictor for unprompted and prompted mobile access, respectively. Implications on integrating mobile learning to LMS in community colleges are discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01