Because most previous studies on college student performance have focused on conventional learning environments in Western cultures, in this study the authors evaluated factors related to student performance in the open and distance learning environment in Hong Kong. Using two-way cross-tabulations with chi-square testing and equality of academic performance by proposed factors, the authors examined 168 students in a distance-learning business communication course. Results show that tutorial attendance, gender, relevant academic background, previous academic achievement, and relevant learning experience were related to student performance. The results are mostly similar to those of prior studies despite differences in culture, teaching mode, and subject.
Found that the following factors were related to academic performance:
Demographics, educational background and student effort.
The results of our study show that gender, previous academic achievement, relevant academic background, tutorial attendance, and previous learning experience have a significant effect on student performance in distance-learning courses. In previous studies, all of these factors except gender were found to influence student performance.
Cheung, L. L., & Kan, A. C. (2002). Evaluation of factors related to student performance in a distance-learning business communication course. Journal of Education for Business, 77(5), 257-263.
|Links to Article||https://scholar.google.com/scholar?hl=en&as_sdt=5%2C50&sciodt=0%2C50&cites=11652613798024517732&scipsc=&q=evaluation+of+factors+related+to+student+performance+in+a+distance-learning+business+communication+course&btnG=#d=gs_cit&p=&u=%2Fscholar%3Fq%3Dinfo%3AFG-j9LRIuEcJ%3Ascholar.google.com%2F%26output%3Dcite%26scirp%3D0%26hl%3Den|
|Publication Type||Journal Article|
|In Publication||Journal of Education for Business|
|Type of Research||Quantitative|
|Intervention/Areas of Study||Other|
|Level of Analysis||Student-level|
|Specific Populations Examined||Undergraduates|
|Specific Institutional Characteristics of Interest|
|Specific Course or Program Characteristics||Professions|
|Outcome Variables of Interest|
|Student Sample Size||100-199|