Landscaping Students' Academic Performance in Vocational Education – A Case Study of a Public Physical Education College in Yunnan, China
Main Article Content
Abstract
Purpose: This study explored the effects of four independent variables (student satisfaction, social media use, learning motivation, human factors, skills, and knowledge) on one dependent variable (student academic performance). Furthermore, it also aims to identify significant differences between the variables. Research design, data, and methodology: The project objective consistency index (IOC) was used as validity, and the pilot trial (n=30) was used as reliability. Multiple linear regression analysis was performed on 90 valid responses from higher vocational college students to verify the significant relationship between the variables. Subsequently, 30 students underwent a 16-week intervention design implementation (SP). Then, paired-sample t-tests were performed to compare the post-sp and pre-sp quantification results. Results: The multiple linear regression study revealed that Students' Satisfaction, Learning Motivation, and Human Factors (skills, knowledge) significantly influenced the academic performance of PE students, while Social Media Use did not. The paired sample t-test results further demonstrated significant improvements in PE student academic performance following the 16-week intervention. These findings have practical implications for enhancing the academic performance of PE students in sports vocational colleges in Yunnan, China. Conclusions: By identifying the significant factors that influence academic performance, this research aims to provide valuable insights and strategies for improving the educational outcomes of students.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data, or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution License (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
References
Alamri, M. M., Almaiah, M. A., & Al-Rahmi, W. M. (2020). Social media applications affecting students’ academic performance: A model developed for sustainability in higher education. Sustainability, 12(16), 6471. https://doi.org/10.3390/su12166471
Griffith, D. A., Lee, H. S., & Yalcinkaya, G. (2022). The use of social media and the prevalence of depression: A multi-country examination of value co-creation and consumer well-being. International Marketing Review, 39(1), 1-31. https://doi.org/10.1108/IMR-07-2021-0214
Gumasing, M. J. J., & Castro, F. M. F. (2023). Determining ergonomic appraisal factors affecting the learning motivation and academic performance of students during online classes. Sustainability, 15(3), 1970. https://doi.org/10.3390/su15031970
Guo, J., Qin, Q., & Hu, Q. (2022). Can online interactive learning environments improve the learning effect? The moderating roles of cognitive style and self-regulated learning strategies. Education and Information Technologies, 27(1), 655-678. https://doi.org/10.1007/s10639-021-10668-3
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Education.
Ifinedo, P., Pyke, J., & Anwar, A. (2017). Business undergraduates’ perceived use outcomes of Moodle, a learning management system: Are the perceptions influenced by gender, year of study, and the model used? Behaviour & Information Technology, 36(1), 54-67. https://doi.org/10.1080/0144929X.2016.1180664
Li, Y., Qiu, L., & Sun, B. (2021). School engagement as a mediator in students’ social relationships and academic performance: A survey based on CiteSpace. International Journal of Crowd Science, 5(1), 17-30. https://doi.org/10.1108/IJCS-02-2020-0005
Mallika Appuhamilage, K. S., & Torii, H. (2019). The impact of loyalty on student satisfaction in higher education: A structural equation modeling analysis. Higher Education Evaluation and Development, 13(2), 82-96. https://doi.org/10.1108/HEED-01-2019-0003
Nguyen, T. T. M., & Nguyen, T. D. (2010). Determinants of learning performance of business students in a transitional market. Quality Assurance in Education, 18(4), 304-316. https://doi.org/10.1108/09684881011079152
Nikou, S., & Maslov, I. (2023). Finnish university students’ satisfaction with e-learning outcomes during the COVID-19 pandemic. International Journal of Educational Management, 37(1), 1-21. https://doi.org/10.1108/IJEM-04-2022-0166
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Pritchard, N. (2010). Learning and performance journeys. Industrial and Commercial Training, 42(6), 303-308. https://doi.org/10.1108/00197851011070668
Rovinelli, R. J., & Hambleton, R. K. (1976). On the use of content specialists in the assessment of criterion-referenced test item validity. Dutch Journal of Educational Research, 2(2), 49-60.
Saunila, M., Ukko, J., & Rantala, T. (2019). Value co-creation through digital service capabilities: The role of human factors. Information Technology & People, 32(3), 627-645.
https://doi.org/10.1108/ITP-10-2016-0224
Stojanovic, I., Andreu, L., & Curras-Perez, R. (2018). Effects of the intensity of use of social media on brand equity: An empirical study in a tourist destination. European Journal of Management and Business Economics, 27(1), 83-100. https://doi.org/10.1108/EJMBE-11-2017-0049
Tan, C. (2020). The impact of COVID-19 on student motivation, community of inquiry and learning performance. Asian Education and Development Studies, 10(2), 308-321. https://doi.org/10.1108/AEDS-05-2020-0084
Tawfik, O. I., & Elmaasrawy, H. E. (2023). Assessing the factors that affected the development of cloud-based accounting education and students’ academic performance in Oman. Arab Gulf Journal of Scientific Research, 41(2), 141-157. https://doi.org/10.1108/AGJSR-07-2022-0102
Vitellaro, F., Satta, G., Parola, F., & Buratti, N. (2022). Social media and CSR communication in European ports: The case of Twitter at the Port of Rotterdam. Maritime Business Review, 7(1), 24-48. https://doi.org/10.1108/MABR-03-2021-0020
Zainuddin, Z., Alba, A., Gunawan, T., Armanda, D., & Zahara, A. (2023). Implementation of gamification and bloom’s digital taxonomy-based assessment: A scale development study with mixed-methods sequential exploratory design. Interactive Technology and Smart Education, 20(4), 512-533. https://doi.org/10.1108/ITSE-02-2022-0029