ERIC Number: EJ1400440
Record Type: Journal
Publication Date: 2023
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2365-9440
Available Date: N/A
Exploring Language Needs of College Transfer Students with Learning Analytics: Towards a More Equitable Experience
Foung, Dennis; Chen, Julia; Cheung, Kin
International Journal of Educational Technology in Higher Education, v20 Article 60 2023
College 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.
Descriptors: College 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
BioMed 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.bibliotheek.ehb.be/gp/biomedical-sciences
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education; Two Year Colleges
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Hong Kong
Grant or Contract Numbers: N/A
Author Affiliations: N/A