Key Factors Driving Student Learning Outcomes at a Medical College in Henan, China
Main Article Content
Abstract
Purpose The study aimed to determine the components affecting students' learning outcomes and collected data through a questionnaire survey. The factors influencing student learning, such as cognitive ability, self-efficacy, learning motivation, learning strategies, and teacher behaviors, were explored. Research design, data, and methodology: The research was conducted in Zhengzhou, Henan Province, China. To ensure the study's reliability and scientific rigor, the variables were processed, and the results of validity and reliability analyses were reported. After conducting these tests, questionnaires were distributed to 180 students to examine the relationship between independent and dependent variables. Finally, a strategic plan intervention was proposed, involving 30 selected students. Results: The results from regression analysis showed a significant relationship between the independent variables (cognitive ability, self-efficacy, learning motivation, learning strategies, and teacher behavior) and the dependent variable (learning outcomes). Validation confirmed that this intervention effectively improved student learning outcomes and is anticipated to be beneficial for the medical college in Zhengzhou, Henan Province, China. Conclusions: The study help students establish comprehensive learning goals, thereby enabling the student-centered teaching philosophy to flourish. Additionally, the knowledge competitions prompt teachers to reflect on and address issues in their daily teaching practices, which leads to improved student learning outcomes and enhanced teaching effectiveness.
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
Baber, H. (2020). Determinants of students' perceived learning outcome and satisfaction in online learning during the pandemic of COVID19. Journal of Education and e-Learning Research, 7(3), 285-292. https://doi.org/10.20448/journal.509.2020.73.285.292
Bandura, A. (1989). Human agency in social cognitive theory. American Psychologist, 44(9), 1175-1184. https://doi.org/10.1037/0003-066X.44.9.1175
Bandura, A. (1997). Self-efficacy: The exercise of control (1st ed.). Freeman.
Bardhoshi, G., Haynes, R., & Ali, R. (2017). A review of the psychometric properties of the Generalized Anxiety Disorder 7-item scale in adult populations. Journal of Clinical Psychology, 73(8), 1014-1026. https://doi.org/10.1002/jclp.22371
Bian, Y. (2003). Social capital and social inequalities: The influence of social networks on social mobility. In D. L. S. M. B. (Ed.), The global era: History, politics, and social changes in the world (pp. 105-117). The University of Chicago
Bolarinwa, O. A. (2015). Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Nigerian Postgraduate Medical Journal, 22(4), 195-201. https://doi.org/10.4103/1117-1936.173959
Bollen, K. A. (1989). Structural equations with latent variables (1st ed.). Wiley.
Carroll, J. (1993). Human cognitive abilities: A survey of factor-analytic studies (1st ed.). Cambridge University Press.
Chen, J. L. (2005). Carrying out knowledge competition to enrich classroom teaching. Teaching Monthly (Middle School Edition), 2005(10), 27-28.
Clark, K. R. (2015). The effects of the flipped model of instruction on student engagement and performance in the secondary mathematics classroom. Journal of Educators Online, 12(1), 91-115. https://doi.org/10.9743/jeo.2015.1.5
Clark, V. L. P., & Ivankova, N. V. (2016). Mixed methods research: A guide to the field (1st ed.). Sage.
Cooper, D. R., & Schindler, P. S. (2014). Business research methods (12th ed.). McGraw Hill.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.
https://doi.org/10.1007/BF02310555
Dahleez, K. A., Al-Assaf, A. M., & Abuzaitoun, Y. (2021). Predictive modeling for construction project delays in the Gaza Strip using machine learning. Journal of Construction Engineering and Management, 147(2), 04020159. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001963
Dawes, J. (2008). Do data characteristics change according to the number of scale points used? An experiment using 5-point, 7-point and 10-point scales. International Journal of Market Research, 50(1), 61-77.
https://doi.org/10.1177/147078530805000106
Dou, A. (2005). The Course of Organizational Behavior (1st ed.). Tsinghua University Press.
Gao, W. (2012). Analysis of the Relationship between Teacher Behavior and Student Behavior (1st ed.) Educational Research.
González-Gómez, F., Guardiola, J., Martín Rodríguez, Ó., & Montero Alonso, M. Á. (2016). Gender differences in e-learning satisfaction. Computers & Education, 86, 37-49. https://doi.org/10.1016/j.compedu.2015.12.006
Guo, J. X., Yang, H. M., Yang, Y., & Lei, Y. F. (2023). Strategies for improving learning motivation of clinical medical college students. Journal of Henan Medical College, 35(1), 1-10.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2017). Multivariate data analysis (8th ed.). Pearson.
Humphreys, L. (1979). The social context of education: A theory of learning. In H. S. Becker & L. Humphreys (Eds.), The social context of education (pp. 1-20). University of Chicago Press.
Jin, H., & Sun, G. Z. (2011). Investigation and analysis of learning strategy level of five-year vocational nursing students. Journal of Bengbu Medical College, 36(10), 1-6.
Jin, Y. L. (2005). Independent learning (1st ed.). Sichuan Education Press.
Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert scale: Explored and explained. British Journal of Applied Science & Technology, 7(4), 396-403. https://doi.org/10.9734/BJAST/2015/14975
Kustyarini, K. (2020). Self-efficacy and emotional quotient in mediating active learning effect on students' learning outcome. International Journal of Instruction, 13(2), 663-676.
Lao, H. A. E., Tari, E., Nahas, I., Wijaya, H., & Darmawan, I. P. (2021). The use of e-learning in motivating students to excel towards learning outcomes. Journal of Education and Learning (EduLearn), 15(3), 458-464. https://doi.org/10.11591/edulearn.v15i3.19368
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1-55.
Lin, Y., Zhu, Y., Chen, C., Wang, W., Chen, T., Li, T., Li, Y., Liu, B., Lian, Y., Lu, L., Zou, Y., & Liu, Y. (2017). Facing the challenges in ophthalmology clerkship teaching: Is flipped classroom the answer?. Plos One, 12(4), e0174829
https://doi.org/10.1371/journal.pone.0174829
Ling, Z. (2019). Exploration on the training mode of accounting talents in higher vocational colleges under the environment of "innovation and entrepreneurship. Journal of Jiyuan Vocational and Technical College, 2(1), 20-56.
Locke, S. (2016). On the idea of results-oriented education. University Education Administration, 10(5), 5.
Lou, Y. (2013). Learning to teach with technology: A study of teacher preparation programs. Journal of Educational Technology Development and Exchange, 6(2), 1-14. https://doi.org/10.18785/jetde.0602.01
Marantika, J. E. R. (2021). Metacognitive ability and autonomous learning strategy in improving learning outcomes. Journal of Education and Learning (EduLearn), 15(1), 88-96.
Marantika, J. E. R. (2022). The relationship between learning styles, gender and learning outcomes. Cypriot Journal of Educational Sciences, 17(1), 56-67.
Neisser, U., Boodoo, G., Feldman, J., Frager, G. M. J., & Tsuji, J. (1996). Intelligence: Knowns and unknowns. American Psychologist, 51(2), 77-101. https://doi.org/10.1037/0003-066X.51.2.77
Peltonen, T., & Ruohotie, P. (1992). The development of expertise in adult education. Scandinavian Journal of Educational Research, 36(3), 237-250. https://doi.org/10.1080/0031383920360304
Pham, Q. T., & Tran, T. P. (2020). The acceptance of E-learning systems and the learning outcome of students at universities in vietnam. Knowledge Management & E-Learning, 12(1), 63-84. https://doi.org/10.1007/978-3-319-95171-3_31
Posthuma, R., González-Brambila, C., Fowler, D. J., & Al-Riyami, S. (2017). A comprehensive model of management education for Latin America: Learning constructs, instructional techniques, and outcomes. Management Research, 15(4), 405-424. https://doi.org/10.1108/mrjiam-09-2016-0691
Rovinelli, R. J., & Hambleton, R. K. (1976). Evaluating the accuracy of the criterion-referenced test. Journal of Educational Measurement, 13(4), 301-307. https://doi.org/10.1111/j.1745-3984.1976.tb00332.x
Sadia, R., Rambli, D. R. A., Rohani, S., & Arif, M. (2010). Study to investigate learning motivation factors within formal and informal learning environments and their influence upon web-based learning. International Journal of Emerging Technologies in Learning (iJET), 5(4), 41-50. https://doi.org/10.3991/ijet.v5i4.1338
Schmidt, R. (2002). A theoretical view of task complexity: The role of working memory in the learning of second languages. In P. Robinson (Ed.), Cognition and second language instruction (pp. 19-34). Cambridge University Press.
Seidel, S., & Recker, J. (2015). The role of digital technology in enhancing customer engagement in e-commerce. Journal of Business Research, 68(11), 2454-2462. https://doi.org/10.1016/j.jbusres.2015.06.001
Sekaran, U. (1992). Research methods for business: A skill-building approach (1st ed.). Wiley.
Sulistiyowati, M. N., & Sumardi, A. (2020). The effect of parenting patterns and learning motivation on citizenship lesson (PPKn) learning outcomes in 11th grade at SMA Negeri 3 Lumajang, second term academic year of 2017-2018. IOP Conference Series: Earth and Environmental Science, 485(1). https://doi.org/10.1088/1755-1315/485/1/012023
Tang, S. L. (2002). Research on Teacher Behavior (1st ed.). Hunan Normal University Press.
Wang, X., & Yu, C. (2019). Social media and consumer decision-making: A review of the research. Journal of Consumer Behaviour, 18(2), 115-127. https://doi.org/10.1002/cb.1778
Wang, Y. (2017). Understanding the impact of social media on consumer behavior: A study of the role of social influence. [Doctoral dissertation]. University of California.
Wei, L. (2019). The practical research on online and offline college English mixed teaching. China Computer & Communication, 3(2), 20-67.
Yan, H. Q., Sun, M. Q., & Zou, W. Y. (2013). The application of knowledge competition in the teaching of histology and embryology. Basic Medical Education, 15(2), 107-108.
Yang, Y. (2014). A study on the effectiveness of classroom teaching behavior of junior middle school English teachers. Sichuan International Studies University.
Zhou, J. Y. (2017). The change of teacher training model in the perspective of situated learning theory (1st ed.). Theory and Practice of Education.
Zhou, L. (2021). Discussion on how young teachers in universities deal with the relationship between teaching and scientific research. Friends of the Human Language, 1(9), 71-72.