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Autor/inn/enFoung, Dennis; Chen, Julia; Cheung, Kin
TitelExploring Language Needs of College Transfer Students with Learning Analytics: Towards a More Equitable Experience
QuelleIn: International Journal of Educational Technology in Higher Education, 20 (2023), Artikel 60 (15 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Foung, Dennis)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
DOI10.1186/s41239-023-00429-y
SchlagwörterCollege Transfer Students; Student Needs; Barriers; Academic Achievement; Second Language Learning; Second Language Instruction; English (Second Language); Language Tests; Grade Point Average; Foreign Countries; Learning Management Systems; Scores; Community Colleges; Universities; Predictor Variables; Language Proficiency; Learning Analytics; Hong Kong
AbstractCollege transfer students are those who follow a different trajectory in their higher education journeys than traditional students, completing a sub-degree before pursuing a bachelor's degree at a university. While the possibility of transferring makes higher education accessible to these students, previous studies have found that they face various challenges, from issues with course load to language challenges. This study aims to examine (1) the critical factors contributing to the success of transfer students in a language course; and (2) how transfer students perform better or worse than those who enter university directly. This study conducted learning analytics with 700 college transfer students in Hong Kong, retrieving their demographic and learning data from the learning management system and the university academic registry. The results suggest that English exam scores, current semester GPA, graduating GPA at community college and current course load are important predictors of transfer students' success in language courses. This study also finds that transfer students have lower levels of language proficiency than direct entrants. It concludes with specific recommendations to make higher education more accessible to transfer students and suggestions on how to use learning analytics to track students with different trajectories. (As Provided).
AnmerkungenBioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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