Abstract
Feedback plays an important role in self-regulated learning. However, little is known about how students’ feedback perception affects their self-regulation process in learning. This study adopted the social cognitive perspective to investigate how students’ feedback perception is related to their self-regulated learning, along with the mediating effects of self-efficacy and goal orientation. A total of 236 7th grade students participated in this study. Self-reported data regarding feedback perception, self-efficacy, achievement goals, performance goals, and self-regulated learning were collected. The results revealed that students’ perception of teachers’ feedback directly and positively predicted students’ self-regulated learning. Self-efficacy and achievement goals mediated the effect of feedback perception on students’ cognitive strategy use and self-regulation, while performance goals showed no significant influence. Such findings illustrated the importance of feedback in self-regulation and empirically supported some of the reciprocal interactions among environmental, personal, and behavioral factors in social cognitive theory.
Similar content being viewed by others
References
Ames, C. (1992). Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology, 84(3), 261–271.
Bai, B., & Wang, J. (2020). The role of growth mindset, self-efficacy and intrinsic value in self-regulated learning and English language learning achievements. Language Teaching Research, 1–22.
Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.
Brett, J. F., & Atwater, L. E. (2001). 360° feedback: Accuracy, reactions, and perceptions of usefulness. Journal of Applied Psychology, 86(5), 930.
Brown, G. T., Peterson, E. R., & Yao, E. S. (2016). Student conceptions of feedback: Impact on self-regulation, self-efficacy, and academic achievement. British Journal of Educational Psychology, 86(4), 606–629.
Butler, D. L., & Winne, P. H. (1995). Feedback and self-regulated learning: A theoretical synthesis. Review of Educational Research, 65(3), 245–281.
Cellar, D. F., Stuhlmacher, A. F., Young, S. K., Fisher, D. M., Adair, C. K., Haynes, S., … & Riester, D. (2011). Trait goal orientation, self-regulation, and performance: A meta-analysis. Journal of Business and Psychology, 26(4), 467–483.
Cheng, G. (2017). The impact of online automated feedback on students’ reflective journal writing in an EFL course. The Internet and Higher Education, 34, 8–27.
Cocea, M., & Weibelzahl, S. (2007, July). Eliciting motivation knowledge from log files towards motivation diagnosis for Adaptive Systems. In International Conference on User Modeling (pp. 197–206). Springer, Berlin, Heidelberg.
Committee on Revision of the National Occupational Classification. (2015). Occupational Classification Code of the People's Republic of China. China Labor and Social Security Publishing House.
Du Toit, E. (2012). Constructive feedback as a learning tool to enhance students’ self-regulation and performance in higher education. Perspectives in Education, 30(2), 32–40.
Finn, B., Thomas, R., & Rawson, K. A. (2018). Learning more from feedback: Elaborating feedback with examples enhances concept learning. Learning and Instruction, 54, 104–113.
Flavell, J. H., Miller, P. H., & Miller, S. A. (2002). Cognitive Development (4th ed.). Prentice Hall.
Gollwitzer, P. M., & Brandstätter, V. (1997). Implementation intentions and effective goal pursuit. Journal of Personality and Social Psychology, 73(1), 186.
Guo, W. J. (2017). The relationships between Chinese Secondary Teachers’ Feedback and Students’ Self-Regulated Learning (Doctoral dissertation). China: The Chinese University of Hong Kong
Harks, B., Rakoczy, K., Hattie, J., Besser, M., & Klieme, E. (2014). The effects of feedback on achievement, interest and self-evaluation: The role of feedback’s perceived usefulness. Educational Psychology, 34(3), 269–290.
Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112.
Holmes, K., & Papageorgiou, G. (2009). Good, bad and insufficient: Students’ expectations, perceptions and uses of feedback. Journal of Hospitality, Leisure, Sports and Tourism Education (Pre-2012), 8(1), 85.
Irving, S. E., & Peterson, E. R. (2006). Conceptions of feedback (CoF) inventory (Version 2). University of Auckland.
Jonsson, A. (2013). Facilitating productive use of feedback in higher education. Active Learning in Higher Education, 14(1), 63–76.
Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin, 119(2), 254.
Komarraju, M., & Nadler, D. (2013). Self-efficacy and academic achievement: Why do implicit beliefs, goals, and effort regulation matter? Learning and Individual Differences, 25, 67–72.
Kramarski, B. (2018). Teachers as agents in promoting students’ SRL and performance: Applications for teachers’ dual-role training program. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 225–227). New York: Routledge.
Lee, H. W., Lim, K. Y., & Grabowski, B. L. (2010). Improving self-regulation, learning strategy use, and achievement with metacognitive feedback. Educational Technology Research and Development, 58(6), 629–648.
Linn, M. C., & Eylon, B. S. (2011). Science learning and instruction: Taking advantage of technology to promote knowledge integration. Routledge.
Massa, L. J. (2005). The role of prior experience in self-efficacy calibration. University of California.
McMillan, J. H. (2014). Classroom assessment: Principles and practice for effective standards-based instruction. Virginia Commonwealth University.
Miller, R. B., Greene, B. A., Montalvo, G. P., Ravindran, B., & Nichols, J. D. (1996). Engagement in academic work: The role of learning goals, future consequences, pleasing others, and perceived ability. Contemporary Educational Psychology, 21(4), 388–422.
Nadler, D. A. (1979). The effects of feedback on task group behavior: A review of the experimental research. Organizational Behavior and Human Performance, 23(3), 309–338.
Narciss, S. (2008). Feedback strategies for interactive learning tasks. In J. M. Spector, M. D. Merrill, J. J. G. van Merrienboer, & M. P. Driscoll (Eds.), Handbook of research on educational communications and technology (3rd ed, pp. 125e144). Lawrence Erlbaum Associates.
Narciss, S., & Huth, K. (2006). Fostering achievement and motivation with bug-related tutoring feedback in a computer-based training for written subtraction. Learning and Instruction, 16(4), 310–322.
Nelson, M. M., & Schunn, C. D. (2009). The nature of feedback: How different types of peer feedback affect writing performance. Instructional Science, 37(4), 375–401.
Nicol, D. J., & Macfarlane-Dick, D. (2006). Formative assessment and self-regulated learning: A model and seven principles of good feedback practice. Studies in Higher Education, 31(2), 199–218.
Nolen, S. B. (1988). Reasons for studying: Motivational orientations and study strategies. Cognition and instruction, 5(4), 269–287.
Oxford, R. L. (1990). Language learning strategies: What every teacher should know. Newbury House.
Ozan, C., & Kıncal, R. Y. (2018). The effects of formative assessment on academic achievement, attitudes toward the lesson, and self-regulation skills. Educational Sciences: Theory & Practice, 18(1), 85–118.
Pajares, F. (2002). Gender and perceived self-efficacy in self-regulated learning. Theory into Practice, 41(2), 116–125.
Pajares, F. (2008). Motivational role of self-efficacy beliefs in self-regulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research, and applications (pp. 107–133). Erlbaum.
Pajares, F., Britner, S. L., & Valiante, G. (2000). Relation between achievement goals and self-beliefs of middle school students in writing and science. Contemporary Educational Psychology, 25(4), 406–422.
Petra, S. F., Jaidin, J. H., Perera, J. Q., & Linn, M. (2016). Supporting students to become autonomous learners: The role of web-based learning. The International Journal of Information and Learning Technology, 33(4), 263–275.
Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31(6), 459–470.
Pintrich, P. R. (2000). Multiple goals, multiple pathways: The role of goal orientation in learning and achievement. Journal of Educational Psychology, 92(3), 544.
Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33.
Pintrich, P. R., & Schrauben, B. (1992). Students’ motivational beliefs and their cognitive engagement in classroom academic tasks. Student Perceptions in the Classroom, 7(1), 149–183.
Pintrich, P. R., & Schunk, D. H. (2002). Motivation in education: Theory, research, and applications (2nd ed.). Prentice Hall.
Pintrich, P. R., Smith, D. A. F., Garcla, T. & McKeachie, W. J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). Office of Educational Research and Improvement (ED).
Pintrich, P. R., Smith, D. A., Garcia, T., & McKeachie, W. J. (1993). Reliability and predictive validity of the Motivated Strategies for Learning Questionnaire (MSLQ). Educational and Psychological Measurement, 53(3), 801–813.
Pintrich, P. R., Roeser, R. W., & De Groot, E. A. (1994). Classroom and individual differences in early adolescents’ motivation and self-regulated learning. The Journal of Early Adolescence, 14(2), 139–161.
Pokay, P., & Blumenfeld, P. C. (1990). Predicting achievement early and late in the semester: The role of motivation and use of learning strategies. Journal of Educational Psychology, 82(1), 41.
Rakoczy, K., Harks, B., Klieme, E., Blum, W., & Hochweber, J. (2013). Written feedback in mathematics: Mediated by students’ perception, moderated by goal orientation. Learning and Instruction, 27, 63–73.
Sadi, O., & Uyar, M. (2013). Relationship between self-efficacy, self-regulated learning strategies and achievement: A path model. Journal of Baltic Science Education, 12(1), 21–33.
Sadler, D. R. (2010). Beyond feedback: Developing student capability in complex appraisal. Assessment & Evaluation in Higher Education, 35(5), 535–550.
Schumacker, R. E., & Lomax, R. G. (2016). A beginner’s guide to structural equation modeling (4th ed.). Routledge.
Schunk, D. H. (2012). Social cognitive theory. Theories, constructs, and critical issuesIn K. R. Harris, S. Graham, & T. Urdan (Eds.), Educational psychology handbook (Vol. 1, pp. 101–123). American Psychological Association.
Schunk, D. H., & DiBenedetto, M. K. (2020). Motivation and social cognitive theory. Contemporary Educational Psychology, 60, 101832.
Shukla, K. D., Kuril, S., & Chand, V. S. (2020). Does negative teacher behavior influence student self-efficacy and mastery goal orientation? Learning and Motivation, 71, 101653.
Tuan, H. L., Chin, C. C., & Shieh, S. H. (2005). The development of a questionnaire to measure students’ motivation towards science learning. International Journal of Science Education, 27(6), 639–654.
Usher, E. L., & Schunk, D. H. (2018). Social cognitive theoretical perspective of self-regulation. In D. H. Schunk & J. A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., pp. 19–35). New York: Routledge.
Van der Kleij, F. M. (2019). Comparison of teacher and student perceptions of formative assessment feedback practices and association with individual student characteristics. Teaching and Teacher Education, 85, 175–189.
Van Der Kleij, F. M., Eggen, T. J., Timmers, C. F., & Veldkamp, B. P. (2012). Effects of feedback in a computer-based assessment for learning. Computers & Education, 58(1), 263–272.
Van der Kleij, F. M., Feskens, R. C., & Eggen, T. J. (2015). Effects of feedback in a computer-based learning environment on students’ learning outcomes: A meta-analysis. Review of Educational Research, 85(4), 475–511.
Wang, S. L., & Lin, S. S. J. (2007). The application of social cognitive theory to web-based learning through NetPorts. British Journal of Educational Technology, 38(4), 600–612.
Wang, S. L., & Wu, P. Y. (2008). The role of feedback and self-efficacy on web-based learning: The social cognitive perspective. Computers & Education, 51(4), 1589–1598.
Winne, P. H. (2005). Key issues on modeling and applying research on self-regulated learning. Applied Psychology: An International Review, 54(2), 232–238.
Winstone, N. E., Nash, R. A., Rowntree, J., & Menezes, R. (2016). What do students want most from written feedback information? Distinguishing necessities from luxuries using a budgeting methodology. Assessment & Evaluation in Higher Education, 41(8), 1237–1253.
Winstone, N. E., Nash, R. A., Parker, M., & Rowntree, J. (2017). Supporting learners’ agentic engagement with feedback: A systematic review and a taxonomy of recipience processes. Educational Psychologist, 52(1), 17–37.
Wisniewski, B., Zierer, K., & Hattie, J. (2020). The power of feedback revisited: A meta-analysis of educational feedback research. Frontiers in Psychology, 10, 3087.
Xiao, Y., & Yang, M. (2019). Formative assessment and self-regulated learning: How formative assessment supports students’ self-regulation in English language learning. System, 81, 39–49.
Zhang, J., Liu, R. D., & Jia, L. (2012). Fan kui zai zi wo tiao jie xue xi zhong de zuo yong [The Role of Feedback in Self-regulated Learning]. Xin Li Fa Zhan Yu Jiao Yu [psychological Development and Education], 28(2), 218–224.
Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of Educational Psychology, 81(3), 329–339.
Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–35). Academic Press.
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64–70.
Zimmerman, B. J. (2006). Development and adaptation of expertise: The role of self-regulatory processes and beliefs. In K. A. Ericsson, N. Charness, P. J. Feltovich, & R. R. Hoffman (Eds.), The Cambridge handbook of expertise and expert performance (pp. 705–722). New York: Cambridge.
Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166–183.
Zimmerman, B. J., & Martinez-Pons, M. (1990). Student differences in self-regulated learning: Relating grade, sex, and giftedness to self-efficacy and strategy use. Journal of Educational Psychology, 82(1), 51.
Funding
This research was funded by the 2019 (MOE) Ministry of Education in China Project of Humanities and Social Sciences (19YJC190026).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Jingwen He. Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, 19th Xinjiekouwai Street, Haidian District, Beijing 100875, China. Email: he.2093@osu.edu.
Yue Liu. Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, 19th Xinjiekouwai Street, Haidian District, Beijing 100875, China. Email: liuyue@mail.bnu.edu.cn.
Tong Ran. Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, 19th Xinjiekouwai Street, Haidian District, Beijing 100875, China. Email:rantong_bnu@163.com.
Danhui Zhang. Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, 19th Xinjiekouwai Street, Haidian District, Beijing 100875, China. Email: danhuizhang@bnu.edu.cn.
Current Theme of Research:
1. Teacher Feedback and self-regulation: Our work over the past years has concentrated on the influence of teaching strategies on students’ learning, including motivation, self-regulation, and academic performance. Some of our works have applied the quasi-experimental designed study to investigate the difference between the control group and the treatment group where feedback strategies have been used. Other works examined the relationships among different psychological attributes through using statistical modeling, such as structural equation modeling or hierarchical linear modelling.
2. The analysis and measurement of different psychological attributes. We have attempted to identify how certain psychological factors interact with individual’s learning behaviors. For one, we are interested with how self-efficacy mediate the relationship between their engagement in science-related extra-curriculum activities and their academic performance in science.
Most relevant publications in the field of Psychology of Education:
Cui, Y., Zhao, G., & Zhang, D. (2022). Improving students' inquiry learning in web‐based environments by providing structure: Does the teacher matter or platform matter?. British Journal of Educational Technology.
Wei, D., Zhang, D., He, J., & Bobis, J. (2020). The impact of perceived teachers’ autonomy support on students’ mathematics achievement: evidences based on latent growth curve modelling. European Journal of Psychology of Education, 35(3), 703-725.
Zhang D., Fu D., Liu, H. &, Liu, L. (2018a). Effect of Perceived Teacher’ s Autonomy Support on Students’ Achievement: The Mediating Role of Autonomy Psychological Need and Intrinsic Motivation. Teacher Education Research (Pin Yin: Jiao Shi Jiao Yu Yan Jiu), 30(1): 79–86.
Zhang, D., Bobis, J., Wu X., & Cui, Y. (2018b). The Effects of an Autonomy-Supportive Teaching Intervention on Chinese Physics Students and their Teacher. Research in Science Education, 1–27.
Zhang, D., Cui, Y., Zhou, Y., & Liu, H. (2018). The role of school adaptation and self-concept in influencing Chinese high school students’ Growth in math achievement. Frontiers in Psychology. In press.
Guo, S., Li, L., & Zhang, D. (2018). A multilevel analysis of the effects of disciplinary climate strength on student reading performance. Asia Pacific Education Review, 19, 1–15.
Zhang, D* & Tang, X. (2017). The Role of Extracurricular Activities in Influencing Middle School Students’ Science Learning in China. International Journal of Science Education. In press.
Appendix
Appendix
Feedback Perception Questionnaire (Adapted from Brown et al., (2016).
1. I look at feedback to see what I did wrong. (cofq28)
2. Feedback makes me try harder. (cofq18).
3. I actively use feedback to help me improve. (cofq32).
4. I make active use of feedback from my teacher. (cofq13).
5. I pay attention to feedback from my teacher. (cofq7).
6. I use feedback to set goals for the next task. (cofq9).
7. Teacher gives me trustworthy and honest feedback. (cofq29).
8. Feedback from my teacher makes it clear how to improve. (cofq21).
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
He, J., Liu, Y., Ran, T. et al. How students’ perception of feedback influences self-regulated learning: the mediating role of self-efficacy and goal orientation. Eur J Psychol Educ 38, 1551–1569 (2023). https://doi.org/10.1007/s10212-022-00654-5
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10212-022-00654-5