ISSN: 2226-6348
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In China, poor student achievement has negatively impacted students' motivation and learning capabilities, ultimately eroding the university's reputation. These issues stem from the inadequacy of perceived usefulness, feedback orientation, student engagement, and self-efficacy, which lead to poor academic achievement at Zhengzhou University. Hence, this study examines the impact of feedback methods on student achievement at Zhengzhou University, China, with a focus on the mediating role of self-efficacy. The population in this study comprised 70,683 students from Zhengzhou University, China. The researcher employed a descriptive and correlational design, focusing on quantitative analysis, and utilized a self-administered questionnaire as the data collection instrument. The researcher validated the instrument through expert review and conducted a pilot study using 30 samples. A sample of 277 students was selected using both simple and stratified random sampling techniques, yielding a success rate and response rate of 72.7%. SPSS was used to analyse the generated data and to assess the hypothesis testing using regression analysis. This study confirmed a significant and positive correlation between perceived usefulness, feedback orientation, student engagement, self-efficacy, and student achievement in Zhengzhou University, China. In addition, the results from regression analysis showed that perceived usefulness, feedback orientation, student engagement, self-efficacy, and student achievement have a P-value of 0.000, which is less than < 0.001. In conclusion, perceived usefulness and feedback orientation are significantly and positively associated with promoting student achievement by enhancing motivation, learning outcomes, and satisfaction. Perceived usefulness, student engagement, and self-efficacy significantly impact student achievement, continuously empowering student success, and feedback orientation, which in turn leads to improved student achievement. This study is significant in addressing the gap identified in previous studies while contributing to the body of knowledge and promoting student achievement at Zhengzhou University in China.
Afzaal, M., Zia, A., Nouri, J., & Fors, U. (2024). Informative Feedback and Explainable AI-Based Recommendations to Support Students’ Self-regulation. Technology, Knowledge and Learning, 29(1), 331–354. https://doi.org/10.1007/s10758-023-09650-0
Al-khataneh, O. K. D. (2024). Evaluating the Role of Teachers’ Feedback in Secondary School Students’ Academic Achievement: An Empirical Evidence from Jordan. 17(61), 131–146.
Alkhawaja, M. I., Halim, M. S. A., Abumandil, M. S. S., & Al-Adwan, A. S. (2022). System Quality and Student’s Acceptance of the E-learning System: The Serial Mediation of Perceived Usefulness and Intention to Use. Contemporary Educational Technology, 14(2). https://doi.org/10.30935/CEDTECH/11525
Almulla, M. A. (2023). Constructivism learning theory: A paradigm for students’ critical thinking, creativity, and problem solving to affect academic performance in higher education. Cogent Education, 10(1). https://doi.org/10.1080/2331186X.2023.2172929
Amani, D. (2022). I Have to Choose This University: Understanding Perceived Usefulness of Word of Mouth (WOM) in Choosing Universities among Students of Higher Education. Services Marketing Quarterly, 43(1), 1–16. https://doi.org/10.1080/15332969.2021.1982851
Anthonysamy, L., & Singh, P. (2024). Investigating the Interplay of Academic Dishonesty, Open Book Exams Perception, Preference, And Student Outcomes from The Self-Efficacy Theory Perspective. Journal of Academic Ethics, August. https://doi.org/10.1007/s10805-024-09554-3
Bondarenko, O. V., Mantulenko, S. V., & Pikilnyak, A. V. (2018). Google Classroom as a Tool of Support of Blended Learning for Geography Students. CEUR Workshop Proceedings, 2257, 182–191.
Borgonovi, F., & Pokropek, A. (2021). The evolution of socio-economic disparities in literacy skills from age 15 to age 27 in 20 countries. British Educational Research Journal, 47(6), 1560–1586. https://doi.org/10.1002/berj.3738
Brandmiller, C., Schnitzler, K., & Dumont, H. (2024). Teacher perceptions of student motivation and engagement: longitudinal associations with student outcomes. European Journal of Psychology of Education, 39(2), 1397–1420. https://doi.org/10.1007/s10212-023-00741-1
Bryman, A., & Bell, E. (2018). Business research methods. New York. Oxford University Press.
Cai, J., & Kwan, M. P. (2023). Understanding Social Inequality in Individual Perceived Exposures to Air Pollution in Residential and Visited Neighborhoods: A Study Using Association Rule Mining. Annals of the American Association of Geographers, 0(0), 1–25. https://doi.org/10.1080/24694452.2023.2236190
Chen, S. (2024). Structural modeling of Chinese students’ academic achievement identity and basic psychological needs: do academic self-efficacy, and mindfulness play a mediating role? BMC Psychology, 12(1). https://doi.org/10.1186/s40359-024-01571-6
Chhaing, S. (2022). Insights into Life of academics at private higher education institutions in Cambodia in light of neoliberalism. Cogent Education, 9(1). https://doi.org/10.1080/2331186X.2022.2062891
Dawes, J. G. (2012). 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.
Doyle, L., Easterbrook, M. J., & Harris, P. R. (2023). Roles of socioeconomic status, ethnicity and teacher beliefs in academic grading. British Journal of Educational Psychology, 93(1), 91–112. https://doi.org/10.1111/bjep.12541
Uwe, F. (2011). Introducing Research Methodology: A Beginner’s Guide to Doing a Research Project. (London: Sage Publications Ltd).
Gentrup, S., Lorenz, G., Kristen, C., & Kogan, I. (2020). Self-fulfilling prophecies in the classroom: Teacher expectations, feedback and student achievement. Learning and Instruction, 66(March 2019), 101296. https://doi.org/10.1016/j.learninstruc.2019.101296
Hair, J. F., Page, M., & Brunsveld, N. (2019). Essentials of Business Research Methods. Routledge.
Haruna, B., & Kiran, K. (2023). Intrinsic motivation as a determinant of perceived usefulness of library makerspace: the influence of learning dimensions. Malaysian Journal of Library and Information Science, 28(1), 15–34. https://doi.org/10.22452/mjlis.vol28no1.2
Hong, J. C., Zhang, H. L., Ye, J. H., & Ye, J. N. (2021). The effects of academic self-efficacy on vocational students behavioural engagement at school and at firm internships: A model of engagement-value of achievement motivation. Education Sciences, 11(8). https://doi.org/10.3390/educsci11080387
Ifesinachi, E. J., Dadzie, J., & Ocheni, A. C. (2024). Enhancing Students’ Academic Achievement in Basic Science: The Role of Assessment for Learning, Classroom Management, and Teacher-Student Relationships. European Journal of Education Studies, 11(5), 196–214. https://doi.org/10.46827/ejes.v11i5.5298
Inayat, A., & Ali, D. A. Z. (2020). Influence of Teaching Style on Students’ Engagement, Curiosity and Exploration in the Classroom. Journal of Education and Educational Development, 7(1), 87. https://doi.org/10.22555/joeed.v7i1.2736
Jacqueline Murray (2013). Likert Data: What to Use, Parametric or Non-Parametric? International Journal of Business and Social Science, 4(11), 7–16.
Jian, Z. (2022). Sustainable Engagement and Academic Achievement Under Impact of Academic Self-Efficacy Through Mediation of Learning Agility—Evidence from Music Education Students. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.899706
Jiang, L., Chen, Y., Liang, W., & Zhang, B. (2023). Convergence Analysis of Cross-Province Human Well-Being in China: A Spatiotemporal Perspective. International Journal of Environmental Research and Public Health, 20(3). https://doi.org/10.3390/ijerph20031858
Jin, X., Jiang, Q., Xiong, W., Feng, Y., & Zhao, W. (2022). Effects of student engagement in peer feedback on writing performance in higher education. Interactive Learning Environments, 1–16. https://doi.org/10.1080/10494820.2022.2081209
Johnson, P., & Clark, M. (2014). Business and Management Research Methodologies. SAGE Publications LTD.
Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert scale: Examined and Explained. British Journal of Applied Science & Technology, 7(4), 396.
Jurasek, M., & Wawrosz, P. (2023). How Does Self-Efficacy in Communication Affect the Relationship Between Intercultural Experience, Language Skills, and Cultural Intelligence? SAGE Open, 13(4), 1–13. https://doi.org/10.1177/21582440231211687
Kamran, M., Siddiqui, S., & Adil, M. S. (2023). Breaking Barriers: The Influence of Teachers’ Attitudes on Inclusive Education for Students with Mild Learning Disabilities (MLDs). Education Sciences, 13(6). https://doi.org/10.3390/educsci13060606
Khan, J. (2019). Relationship between Student Satisfaction and Academic Achievement in Distance Education: A Case Study of AIOU Islamabad. 10(2), 137–145.
Kleij, F. M. van der. (2019). Comparison of teacher and student perceptions of formative assessment feedback practices and association with individual student characteristics. Teaching and Teacher Education, 85(1), 175–189.
Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 2(2), 607–610.
Kumar, R. (2014) Research Methodology: A Step-by-Step Guide for Beginners. 4th Edition, SAGE Publications Ltd., London.
Lee, H. S., Gweon, G. H., Lord, T., Paessel, N., Pallant, A., & Pryputniewicz, S. (2021). Machine learning-enabled automated feedback: Supporting students’ revision of scientific arguments based on data drawn from simulation. Journal of Science Education and Technology, 30(2), 168–192. https://doi.org/10.1007/s10956-020-09889-7
Li, K., Wijaya, T. T., Chen, X., & Harahap, M. S. (2024). Exploring the factors affecting elementary mathematics teachers’ innovative behavior: an integration of social cognitive theory. Scientific Reports, 14(1), 1–14. https://doi.org/10.1038/s41598-024-52604-4
Li, N., Yang, Y., Zhao, X., & Li, Y. (2023). The relationship between achievement motivation and college students’ general self-efficacy: A moderated mediation model. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1031912
Lian, C., Pei, J., & Li, J. (2024). Heliyon Income inequality effect of government investment behavior?: Comparisons based on different investment areas , different regions and different groups in China. Heliyon, 10(5), e26452. https://doi.org/10.1016/j.heliyon.2024.e26452
Lin, W. (2020). Taiwanese higher education in a cultural perspective: a preliminary study of two premier universities. Asia Pacific Journal of Education, 40(2), 212–229. https://doi.org/10.1080/02188791.2019.1690424
Lin, X., Li, R., Chen, Z., & Xiong, J. (2023). Design strategies for VR science and education games from an embodied cognition perspective: a literature-based meta-analysis. Frontiers in Psychology, 14(January). https://doi.org/10.3389/fpsyg.2023.1292110
Litwin, M. (2014). How to Measure Survey Reliability and Validity. SAGE Publications, Inc.
Lu, D., Liu, T., Meng, X., Luo, B., Yuan, J., Liu, Y., Zhang, S., Cai, C., Gao, C., Wang, J., Wang, S., & Nie, S. (2023). Wearable Triboelectric Visual Sensors for Tactile Perception. Advanced Materials, 35(7). https://doi.org/10.1002/adma.202209117
Ma, L., Xiao, L., & Jiao, Y. (2024). Mediation of Reading Enjoyment between Feedback and Reading Achievement: Cross-Cultural Generalizability across 75 Countries/Economies. Journal of Experimental Education, 92(3), 431–451. https://doi.org/10.1080/00220973.2023.2208063
Mahvelati, E. H. (2021). Learners’ perceptions and performance under peer versus teacher corrective feedback conditions. Studies in Educational Evaluation, 70. https://doi.org/10.1016/j.stueduc.2021.100995
Munir, J., Faiza, M., Jamal, B., Daud, S., & Iqbal, K. (2023). The Impact of Socio-economic Status on Academic Achievement. Journal of Social Sciences Review, 3(2). https://doi.org/10.54183/jssr.v3i2.308
Nawaz, M. (2023). Exploring the Preferred Corrective Feedback and Practiced Corrective Feedback among Pakistani ESL Secondary School Students and Teachers in Writing Class. Matches and Mismatches. 6(1), 31–45.
Oc, Y., Plangger, K., Sands, S., Campbell, C. L., & Pitt, L. (2023). Luxury is what you say: Analyzing electronic word-of-mouth marketing of luxury products using artificial intelligence and machine learning. Psychology and Marketing, 40(9), 1704–1719. https://doi.org/10.1002/mar.21831
Ozogul, G., Zhu, M., & Phillips, T. M. (2022). Perceived and Actual Cognitive Presence: A Case Study of an Intentionally-Designed Asynchronous Online Course. Online Learning Journal, 26(1), 38–57. https://doi.org/10.24059/olj.v26i1.3051
Park, D. Y., & Kim, H. (2023). Determinants of Intentions to Use Digital Mental Healthcare Content among University Students, Faculty, and Staff: Motivation, Perceived Usefulness, Perceived Ease of Use, and Parasocial Interaction with AI Chatbot. Sustainability (Switzerland), 15(1). https://doi.org/10.3390/su15010872
Park, L. E., Ward, D. E., Moore-Russo, D., Rickard, B., Vessels, V., & Hundley, J. (2024). Positive Feedback as a Lever to Boost Students’ STEM Outcomes. Personality and Social Psychology Bulletin, August. https://doi.org/10.1177/01461672241265954
Rea, L. M., & Parker, R. A. (2014). Using Focus Groups in the Survey Research Process. In Designing and Conducting Survey Research: A Comprehensive Guide, 80-95.
Ruado, L. F., & Cortez, L. A. S. (2024). Enhancing Student Engagement and Achievement in Biology through Interactive Slide Presentations. American Journal of Education and Technology, 3(1), 51–59. https://doi.org/10.54536/ajet.v3i1.2520
Ryan, A. T., Elliott, S., Judd, T., Wilson, C., Larsen, D. P., Kulasegaram, K., & Swanson, D. (2024). Timing’s not Everything: Immediate and delayed feedback is equally beneficial for performance in formative multiple-choice testing. July 2023, 838–847. https://doi.org/10.1111/medu.15287
Saqr, M., López-Pernas, S., Helske, S., & Hrastinski, S. (2023). The longitudinal association between engagement and achievement varies by time, students’ profiles, and achievement state: A full program study. Computers and Education, 199(March). https://doi.org/10.1016/j.compedu.2023.104787
Sekaran, U., & Bougie, R. (2016). Research Methods for Business. Angewandte Chemie International Edition, 6(11), 951–952., 4(1), 1–23.
Sp?t?relu, E. (2020). Student Satisfaction, Teaching Practicum and Academic Achievement. 26–46.
Subramanian, K., & Budhrani, K. (2020). Influence of course design on student engagement and motivation in an online course. SIGCSE 2020 - Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 303–308. https://doi.org/10.1145/3328778.3366828
Taleb Shawaqfeh, A., Khasawneh, A., jadallah abed Khasawneh, Y., & Ahmad Saleem Khasawneh, M. (2024). Unlocking Linguistic Diversity: Translanguaging in Jordanian Classrooms and Its Impact on Student Engagement and Academic Achievement. Migration Letters, 21(2), 479–491.
Tan, C. Y., Dimmock, C., & Walker, A. (2024). How school leadership practices relate to student outcomes: Insights from a three-level meta-analysis. Educational Management Administration and Leadership, 52(1), 6–27. https://doi.org/10.1177/17411432211061445
Teng, M. F., & Yang, Z. (2023). Metacognition, motivation, self-efficacy belief, and English learning achievement in online learning: Longitudinal mediation modeling approach. Innovation in Language Learning and Teaching, 17(4), 778–794. https://doi.org/10.1080/17501229.2022.2144327
Tomaszewski, W., Xiang, N., & Huang, Y. (2024). School climate, student engagement and academic achievement across school sectors in Australia. Australian Educational Researcher, 51(2), 667–695. https://doi.org/10.1007/s13384-023-00618-8
Van Ryzin, M. J., Roseth, C. J., & Biglan, A. (2020). Mediators of Effects of Cooperative Learning on Prosocial Behavior in Middle School. International Journal of Applied Positive Psychology, 5(1–2), 37–52. https://doi.org/10.1007/s41042-020-00026-8
Wahman, C. L., Pustejovsky, J. E., Ostrosky, M. M., & Santos, R. M. (2022). Examining the Effects of Social StoriesTM on Challenging Behavior and Prosocial Skills in Young Children: A Systematic Review and Meta-Analysis. Topics in Early Childhood Special Education, 41(4), 267–279. https://doi.org/10.1177/0271121419855692
Wang, D., Guo, D., Song, C., Hao, L., & Qiao, Z. (2022). General Self-Efficacy and Employability Among Financially Underprivileged Chinese College Students: The Mediating Role of Achievement Motivation and Career Aspirations. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.719771
Wang, Y., Song, Z., & Lu, Y. (2024). How do the Chinese Gaokao tests narrate the history of other countries? A textual analysis of “the other” in official representations of history. Theory and Research in Social Education, 52(2), 245–272. https://doi.org/10.1080/00933104.2023.2224248
Wessel, M., Serebrenik, A., Wiese, I., Steinmacher, I., & Gerosa, M. A. (2020). What To Expect from Code Review Bots on GitHub? A Survey with OSS Maintainers. In ACM International Conference Proceeding Series (pp. 457–462). https://doi.org/10.1145/3422392.3422459
Yang, X., Zhang, M., Kong, L., Wang, Q., & Hong, J. C. (2021). The Effects of Scientific Self-efficacy and Cognitive Anxiety on Science Engagement with the “Question-Observation-Doing-Explanation” Model during School Disruption in COVID-19 Pandemic. Journal of Science Education and Technology, 30(3), 380–393. https://doi.org/10.1007/s10956-020-09877-x
Yousaf, H. Q., Rehman, S., Ahmed, M., & Munawar, S. (2022). Investigating students ’ satisfaction in online learning?: the role of students ’ interaction and engagement in universities. Interactive Learning Environments, 0(0), 1–18. https://doi.org/10.1080/10494820.2022.2061009
Yue, C., Sun, W., & Ye, Y. (2024). A study on the Relationship Between Students’ Learning Burnout and Self-Efficacy at a Private University in China, China. The EUrASEANs: Journal on Global Socio-Economic Dynamics, 3(3(46)), 323–333. https://doi.org/10.35678/2539-5645.3(46).2024.323-333
Zhong, J., Wen, J., & Li, K. (2023). Do Achievement Goals Differently Orient Students’ Academic Engagement Through Learning Strategy and Academic Self-Efficacy and Vary by Grade. Psychology Research and Behavior Management, 16, 4779–4797. https://doi.org/10.2147/PRBM.S424593
Zhou, W., & Fu, W. (2022). Can Transfer Payment Reduce the Inequality of Compulsory Education in Poor Areas? An Empirical Study Based on the Data from 18 Counties in 6 Provinces in China. Best Evidence in Chinese Education, 10(2), 1405–1413. https://doi.org/10.15354/bece.22.ar030
Zikmund W. G., Barry J. Babin, Jon C. Carr & Mitch Griffin (2020). Business Research Methods. 9th Edition.
Zysberg, L., & Schwabsky, N. (2021). School climate, academic self-efficacy and student achievement. Educational Psychology, 41(4), 467–482. https://doi.org/10.1080/01443410.2020.1813690
Qi, C., & Wahab, N. B. A. (2025). The Impact of Feedback Methods on Student Achievement in Zhengzhou University, China: A Mediating Role of Self-Efficacy. International Journal of Academic Research in Progressive Education and Development, 14(3), 1140-1162.
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