Abstract
Under the tenet of framing and regulatory theory, this study undertakes a comprehensive examination of the impacts of task-oriented and self-oriented teacher developmental feedback on learning outcomes, considering the moderation roles of timeliness and regulatory focus, and compares the effects between competitive and the noncompetitive environments. Two between-subjects experiments under the online learning setting are conducted to validate the impacts. ANCOVA and Ordinary Least Square regression are employed to examine the differences and effects experimentally and empirically. The first experiment is situated in a competitive environment, and the second experiment adds a noncompetitive environment. The results demonstrate the prominent influence of task-oriented feedback and the lack of effect of self-oriented feedback, the remarkableness of a competitive environment, and the significant moderation roles of timeliness and regulatory focus in both prevention focus and promotion focus. The findings show that prevention-focused individuals care more about task-oriented feedback, whereas promotion-focused individuals care more about self-oriented feedback. This research provides insights into both the theoretical and practical implications.
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References
Attali, Y., & van der Kleij, F. (2017). Effects of feedback elaboration and feedback timing during computer-based practice in mathematics problem solving. Computers & Education, 110, 154–169. https://doi.org/10.1016/j.compedu.2017.03.012
Bada, M., Sasse, A. M., & Nurse, J. R. (2019). Cyber security awareness campaigns: Why do they fail to change behaviour? arXiv preprint arXiv:1901.02672. https://doi.org/10.48550/arXiv.1901.02672
Baddeley, A. (2003). Working memory and language: An overview. Journal of Communication Disorders, 36(3), 189–208. https://doi.org/10.1016/S0021-9924(03)00019-4
Baddeley, A. (2010). Working memory. Current Biology, 20(4), R136–R140. https://doi.org/10.1016/j.cub.2009.12.014
Bahtilla, M. (2023). Supervisory feedback: Supervisors’ reasons for not giving timely feedback. Innovations in Education and Teaching International. https://doi.org/10.1080/14703297.2022.2083656
Behl, A., Jayawardena, N., Pereira, V., Islam, N., Del Giudice, M., & Choudrie, J. (2022). Gamification and e-learning for young learners: A systematic literature review, bibliometric analysis, and future research agenda. Technological Forecasting and Social Change, 176, 121445. https://doi.org/10.1016/j.techfore.2021.121445
Biswas, U., & Bhattacharya, S. (2023). ML-based intelligent real-time feedback system for blended classroom. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11949-5
Brankovic, J., Ringel, L., & Werron, T. (2018). How rankings produce competition: The case of global university rankings. Zeitschrift Für Soziologie, 47(4), 270–288. https://doi.org/10.1515/zfsoz-2018-0118
Bruggeman, B., Hidding, K., Struyven, K., Pynoo, B., Garone, A., & Tondeur, J. (2022). Negotiating teacher educators’ beliefs about blended learning: Using stimulated recall to explore design choices. Australasian Journal of Educational Technology, 38(2), 98–112. https://doi.org/10.14742/ajet.7175
Bryant, C., & Dillard, C. (2019). The impact of framing on acceptance of cultured meat. Frontiers in Nutrition, 6, 103. https://doi.org/10.3389/fnut.2019.00103
Burns, A., Roberts, T. L., Posey, C., Lowry, P. B., & Fuller, B. (2023). Going beyond deterrence: A middle-range theory of motives and controls for insider computer abuse. Information Systems Research, 34(1), 342–362. https://doi.org/10.1287/isre.2022.1133
Cagiltay, N. E., Ozcelik, E., & Ozcelik, N. S. (2015). The effect of competition on learning in games. Computers & Education, 87, 35–41. https://doi.org/10.1016/j.compedu.2015.04.001
Cai, L. L., Xiao, Z. R., & Ji, X. F. (2023). Impact of supervisor developmental feedback on employee innovative behavior: Roles of psychological safety and face orientation. Journal of Managerial Psychology, 38(1), 73–87. https://doi.org/10.1108/jmp-12-2021-0670
Cerasoli, C. P., Nicklin, J. M., & Ford, M. T. (2014). Intrinsic motivation and extrinsic incentives jointly predict performance: A 40-year meta-analysis. Psychological Bulletin, 140(4), 980. https://doi.org/10.1037/a0035661
Chen, M. (2018). Effect of professional satisfaction on learning engagement in undergraduates majoring in preschool education: Mediating role of professional commitment. Psychology, 9(08), 2250.
Chen, C.-H., & Chiu, C.-H. (2016). Employing intergroup competition in multitouch design-based learning to foster student engagement, learning achievement, and creativity. Computers & Education, 103, 99–113. https://doi.org/10.1016/j.compedu.2016.09.007
Chen, C. M., & Huang, S. H. (2014). Web-based reading annotation system with an attention-based self-regulated learning mechanism for promoting reading performance. British Journal of Educational Technology, 45(5), 959–980. https://doi.org/10.1111/bjet.12119
Chen, C. M., Li, M. C., & Huang, Y. L. (2023). Developing an instant semantic analysis and feedback system to facilitate learning performance of online discussion. Interactive Learning Environments. https://doi.org/10.1080/10494820.2020.1839505
Choi, T. R., Choi, J. H., & Sung, Y. (2019). I hope to protect myself from the threat: The impact of self-threat on prevention-versus promotion-focused hope. Journal of Business Research, 99, 481–489. https://doi.org/10.1016/j.jbusres.2018.03.010
Choi, J., Kim, K. K., & Kim, Y. (2020). Emotional analysis with news using text mining for framing theory. Computer and Information Science, 849, 95–108. https://doi.org/10.1007/978-3-030-25213-7_7
Chong, D., & Druckman, J. N. (2007). Framing theory. Annual Review of Political Science, 10(1), 103–126. https://doi.org/10.1146/annurev.polisci.10.072805.103054
Crowe, E., & Higgins, E. T. (1997). Regulatory focus and strategic inclinations: Promotion and prevention in decision-making. Organizational Behavior and Human Decision Processes, 69(2), 117–132. https://doi.org/10.1006/obhd.1996.2675
Deng, R., Benckendorff, P., & Gannaway, D. (2020). Learner engagement in MOOCs: Scale development and validation. British Journal of Educational Technology, 51(1), 245–262. https://doi.org/10.1111/bjet.12810
Dumford, A. D., & Miller, A. L. (2018). Online learning in higher education: Exploring advantages and disadvantages for engagement. Journal of Computing in Higher Education, 30, 452–465. https://doi.org/10.1007/s12528-018-9179-z
Entman, R. M. (1991). Framing US coverage of international news: Contrasts in narratives of the KAL and Iran Air incidents. Journal of communication, 41(4), 6–27. https://doi.org/10.1111/j.1460-2466.1991.tb02328.x
Espasa, A., Mayordomo, R. M., Guasch, T., & Martinez-Melo, M. (2022). Does the type of feedback channel used in online learning environments matter? Students’ perceptions and impact on learning. Active Learning in Higher Education, 23(1), 49–63. https://doi.org/10.1177/1469787419891307
Federman, J. E. (2020). Regulatory focus and learning: How the pursuit of promotion and prevention-focus goals influence informal learning in the workplace. European Journal of Training and Development, 44(4/5), 425–447. https://doi.org/10.1108/EJTD-09-2019-0164
Foerde, K., & Shohamy, D. (2011). Feedback timing modulates brain systems for learning in humans. Journal of Neuroscience, 31(37), 13157–13167. https://doi.org/10.1523/JNEUROSCI.2701-11.2011
Gamache, D. L., Neville, F., Bundy, J., & Short, C. E. (2020). Serving differently: CEO regulatory focus and firm stakeholder strategy. Strategic Management Journal, 41(7), 1305–1335. https://doi.org/10.1002/smj.3134
Gerend, M. A., & Shepherd, M. A. (2016). When different message frames motivate different routes to the same health outcome. Annals of Behavioral Medicine, 50(2), 319–329. https://doi.org/10.1007/s12160-015-9757-5
Goffman, E. (1974). Frame analysis: An essay on the organization of experience: Harvard University Press.
Goldberg, P., Sümer, Ö., Stürmer, K., Wagner, W., Göllner, R., Gerjets, P., … Trautwein, U. (2021). Attentive or not? Toward a machine learning approach to assessing students’ visible engagement in classroom instruction. Educational Psychology Review, 33, 27–49. https://doi.org/10.1007/s10648-019-09514-z
Groen, Y., Fuermaier, A. B. M., Tucha, L., Weisbrod, M., Aschenbrenner, S., & Tucha, O. (2018). A situation-specific approach to measure attention in adults with ADHD: The everyday life attention scale (ELAS). Applied Neuropsychology: Adult. https://doi.org/10.1080/23279095.2018.1437730
Guo, P., Saab, N., Post, L. S., & Admiraal, W. (2020). A review of project-based learning in higher education: Student outcomes and measures. International Journal of Educational Research, 102, 101586. https://doi.org/10.1016/j.ijer.2020.101586
Hale, C. M., & Tager-Flusberg, H. (2003). The influence of language on theory of mind: A training study. Developmental Science, 6(3), 346–359. https://doi.org/10.1111/1467-7687.00289
Higgins, E. T., & Silberman, I. (1998). Development of regulatory focus: Promotion and prevention as ways of living. In Motivation and self-regulation across the life span (pp.78-113). Cambridge University Press.
Higgins, E. T., Friedman, R. S., Harlow, R. E., Idson, L. C., Ayduk, O. N., & Taylor, A. (2001). Achievement orientations from subjective histories of success: Promotion pride versus prevention pride. European Journal of Social Psychology, 31(1), 3–23. https://doi.org/10.1002/ejsp.27
Higgins, E. T. (1998). Promotion and prevention: Regulatory focus as a motivational principle. In Advances in experimental social psychology (Vol. 30, pp. 1–46). Elsevier.
Ho, J. C.-S., Hung, Y.-S., & Kwan, L. Y.-Y. (2022). The impact of peer competition and collaboration on gamified learning performance in educational settings: a Meta-analytical study. Education and Information Technologies, 1–34. https://doi.org/10.1007/s10639-021-10770-2
Huang, N., Wang, L., Hong, Y., Lin, L., Guo, X., & Chen, G. (2023). When the clock strikes: A multimethod investigation of on-the-hour effects in online learning. Information Systems Research. https://doi.org/10.1287/isre.2023.1234
Hussey, T., & Smith, P. (2008). Learning outcomes: A conceptual analysis. Teaching in Higher Education, 13(1), 107–115. https://doi.org/10.1080/13562510701794159
Jagušt, T., Botički, I., & So, H.-J. (2018). Examining competitive, collaborative and adaptive gamification in young learners’ math learning. Computers & Education, 125, 444–457. https://doi.org/10.1016/j.compedu.2018.06.022
Johannes, C., & Haase, A. (2023). The impact of feedback mode on learning gain and self-efficacy: A quasi-experimental study. Active Learning in Higher Education. https://doi.org/10.1177/14697874221131970
Johnson, P. D., Smith, M. B., Wallace, J. C., Hill, A. D., & Baron, R. A. (2015). A review of multilevel regulatory focus in organizations. Journal of Management, 41(5), 1501–1529. https://doi.org/10.1177/0149206315575552
Jongsma, M. V., Scholten, D. J., van Muijlwijk-Koezen, J. E., & Meeter, M. (2023). Online versus offline peer feedback in higher education: A meta-analysis. Journal of Educational Computing Research. https://doi.org/10.1177/07356331221114181
Keller, A. S., Davidesco, I., & Tanner, K. D. (2020). Attention matters: How orchestrating attention may relate to classroom learning. CBE-Life Sciences Education, 19(3), fe5. https://doi.org/10.1187/cbe.20-05-0106
Kuan, D., Hasan, N. A. M., Zawawi, J. W. M., & Abdullah, Z. (2021). Framing theory application in public relations: The lack of dynamic framing analysis in competitive context. Media Watch, 12(2), 333–351. https://doi.org/10.15655/mw_2021_v12i2_1601
Lang, Y. R., Xie, K., Gong, S. Y., Wang, Y. Q., & Cao, Y. (2022). The impact of emotional feedback and elaborated feedback of a pedagogical agent on multimedia learning. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.810194
Leung, P. W., & Trotman, K. T. (2005). The effects of feedback type on auditor judgment performance for configural and non-configural tasks. Accounting, Organizations and Society, 30(6), 537–553. https://doi.org/10.1016/j.aos.2004.11.003
Li, G. P., & Xie, L. (2023). The effects of job involvement and supervisor developmental feedback on employee creativity: A polynomial regression with response surface analysis. Current Psychology. https://doi.org/10.1007/s12144-022-02901-w
Li, Z., Wang, G., & Wang, H. (2021). Peer effects in competitive environments: Field experiments on information provision and interventions. Mis Quarterly, 45, 163–191. https://doi.org/10.2139/ssrn.3256576
Li, Z. Q., Ma, C., Zhang, X., & Guo, Q. M. (2023). Full of energy - The relationship between supervisor developmental feedback and task performance: A conservation of resources perspective. Personnel Review. https://doi.org/10.1108/pr-03-2021-0138
Lin, H.-F. (2007). Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions. Journal of Information Science, 33(2), 135–149. https://doi.org/10.1177/0165551506068174
Liu, H. M., & Long, J. C. (2021). The influence mechanism of supervisor developmental feedback on the enactment of employees' creative ideas: A moderated chain mediation model based on psychological empowerment. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.696034
Lockwood, P., Jordan, C. H., & Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83(4), 854. https://doi.org/10.1037/0022-3514.83.4.854
Luthans, K. W., Luthans, B. C., & Chaffin, T. D. (2019). Refining grit in academic performance: The mediational role of psychological capital. Journal of Management Education, 43(1), 35–61. https://doi.org/10.1177/1052562918804282
Maier, U. (2021). Self-referenced vs. reward-based feedback messages in online courses with formative mastery assessments: A randomized controlled trial in secondary classrooms. Computers & Education, 174. https://doi.org/10.1016/j.compedu.2021.104306
Mao, B., Kim, S., & Peng, W. (2021). The interplay between message framing and message recipients’ regulatory focus in promoting HPV prevention strategies. Journal of Health Communication, 26(2), 92–103. https://doi.org/10.1080/10810730.2021.1895918
Pastor, J. C., & Baruffaldi, L. (2021). The role of regulatory focus on a peer-feedback process: A longitudinal study with MBA students. Academy of Management Learning & Education, 20(4), 539–561. https://doi.org/10.5465/amle.2019.0260
Petryk, M., Rivera, M., Bhattacharya, S., Qiu, L., & Kumar, S. (2022). How network embeddedness affects real-time performance feedback: An empirical investigation. Information Systems Research. https://doi.org/10.1287/isre.2022.1110
Pye, G., Holt, D., Salzman, S., Bellucci, E., & Lombardi, L. (2015). Engaging diverse student audiences in contemporary blended learning environments in Australian higher business education: Implications for design and practice. Australasian Journal of Information Systems, 19, 1–20. https://doi.org/10.3127/ajis.v19i0.1251
Rivera, M., Qiu, L. F., Kumar, S., & Petrucci, T. (2021). Are traditional performance reviews outdated? An empirical analysis on continuous, real-time feedback in the workplace. Information Systems Research, 32(2), 517–540. https://doi.org/10.1287/isre.2020.0979
Roslyng, M. M., & Dindler, C. (2023). Media power and politics in framing and discourse theory. Communication Theory, 33(1), 11–20. https://doi.org/10.1093/ct/qtac012
Ruth, M., Breuer, J., Zimmermann, D., & Kasper, K. (2021). The Effects of Different Feedback Types on Learning With Mobile Quiz Apps. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.665144
Rutherford, A. (2011). ANOVA and ANCOVA: a GLM approach. Wiley.
Ryan, E., & Poole, C. (2019). Impact of virtual learning environment on students’ satisfaction, engagement, recall, and retention. Journal of Medical Imaging and Radiation Sciences, 50(3), 408–415. https://doi.org/10.1016/j.jmir.2019.04.005
Ryan, T., Henderson, M., Ryan, K., & Kennedy, G. (2023). Identifying the components of effective learner-centred feedback information. Teaching in Higher Education. https://doi.org/10.1080/13562517.2021.1913723
Sansone, C., Smith, J. L., Thoman, D. B., & MacNamara, A. (2012). Regulating interest when learning online: Potential motivation and performance trade-offs. The Internet and Higher Education, 15(3), 141–149. https://doi.org/10.1016/j.iheduc.2011.10.004
Scalf, P. E., Torralbo, A., Tapia, E., & Beck, D. M. (2013). Competition explains limited attention and perceptual resources: Implications for perceptual load and dilution theories. Frontiers in Psychology, 4, 243. https://doi.org/10.3389/fpsyg.2013.00243
Shekhar, S., Singal, D., Singh, H., Kedia, M., & Shetty, A. (2017). Show and recall: Learning what makes videos memorable. Paper presented at the Proceedings of the IEEE International Conference on Computer Vision Workshops, Venice, Italy.
Shu, T.-M., & Lam, S.-F. (2011). Are success and failure experiences equally motivational? An investigation of regulatory focus and feedback. Learning and Individual Differences, 21(6), 724–727. https://doi.org/10.1016/j.lindif.2011.08.002
Shu, T.-M., & Lam, S.-F. (2016). Is it always good to provide positive feedback to students? The moderating effects of culture and regulatory focus. Learning and Individual Differences, 49, 171–177. https://doi.org/10.1016/j.lindif.2016.06.012
Skipper, Y., & Leman, P. J. (2017). The role of feedback in young people’s academic choices. International Journal of Science Education, 39(4), 453–467. https://doi.org/10.1080/09500693.2017.1294783
Slater, S. F., & Narver, J. C. (1994). Does competitive environment moderate the market orientation-performance relationship? Journal of Marketing, 58(1), 46–55. https://doi.org/10.1177/002224299405800104
Su, W. L., Yuan, S., & Qi, Q. (2022). Different effects of supervisor positive and negative feedback on subordinate in-role and extra-role performance: The moderating role of regulatory focus. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.757687
Su, W. L., & Zhang, Y. A. (2023). Supervisor negative feedback, subordinate prevention focus and performance: Testing a mediation model. Current Psychology. https://doi.org/10.1007/s12144-022-03494-0
Sun, J. C. Y., Yu, S. J., & Chao, C. H. (2019). Effects of intelligent feedback on online learners’ engagement and cognitive load: The case of research ethics education. Educational Psychology, 39(10), 1293–1310. https://doi.org/10.1080/01443410.2018.1527291
Szabo, M., & Kanuka, H. (1999). Effects of violating screen design principles of balance, unity, and focus on recall learning, study time, and completion rates. Journal of Educational Multimedia and Hypermedia, 8(1), 23–42.
Tafesse, W., & Wood, B. P. (2023). Social media influencers’ community and content strategy and follower engagement behavior in the presence of competition: An Instagram-based investigation. Journal of Product & Brand Management, 32(3), 406–419. https://doi.org/10.1108/JPBM-02-2022-3851
Tan, X., Jin, F., & Dennis, A. R. (2022). How appreciation and attention affect contributions to electronic networks of practice. Journal of Management Information Systems, 39(4), 1037–1063. https://doi.org/10.1080/07421222.2022.2127443
Tanaka, T., Watanabe, K., & Tanaka, K. (2021). Immediate action effects motivate actions based on the stimulus–response relationship. Experimental Brain Research, 239, 67–78. https://doi.org/10.1007/s00221-020-05955-z
Tang, J., Zhou, X. X., Zhao, Y. X., & Wang, T. M. (2021). How the type and valence of feedback information influence volunteers' knowledge contribution in citizen science projects. Information Processing & Management, 58(5). https://doi.org/10.1016/j.ipm.2021.102633
Taxipulati, S., & Lu, H. D. (2021). the influence of feedback content and feedback time on multimedia learning achievement of college students and its mechanism. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.706821
Taylor, K. M., & Shepperd, J. A. (1998). Bracing for the worst: Severity, testing, and feedback timing as moderators of the optimistic bias. Personality and Social Psychology Bulletin, 24(9), 915–926. https://doi.org/10.1177/0146167298249001
Thai, N. T. T., De Wever, B., & Valcke, M. (2023). Feedback: An important key in the online environment of a flipped classroom setting. Interactive Learning Environments. https://doi.org/10.1080/10494820.2020.1815218
Tunc, M. M., Cavusoglu, H., & Raghunathan, S. (2021). Online product reviews: Is a finer-grained rating scheme superior to a coarser one? Mis Quarterly, 45(4), 2193–2234. https://doi.org/10.25300/MISQ/2021/15586
Twesme, E. E., Werner, J. M., & Simha, A. (2023). Can we talk? Improving employee contextual performance using motivating language and feedback orientation. International Journal of Business Communication. https://doi.org/10.1177/23294884211038745
Vasalou, A., Benton, L., Ibrahim, S., Sumner, E., Joye, N., & Herbert, E. (2021). Do children with reading difficulties benefit from instructional game supports? Exploring Children’s Attention and Understanding of Feedback. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13145
Wang, S. L., & Zhang, X. Q. (2022). Impact mechanism of supervisor developmental feedback on employee workplace learning. Managerial and Decision Economics, 43(1), 219–227. https://doi.org/10.1002/mde.3379
Wang, Y., Lin, L., & Chen, O. (2021a). The benefits of teaching on comprehension, motivation, and perceived difficulty: Empirical evidence of teaching expectancy and the interactivity of teaching. British Journal of Educational Psychology, 91(4), 1275–1290. https://doi.org/10.1111/bjep.12416
Wang, Y., Sun, H., Jia, T., & Chen, J. (2021b). The impact of buyer–supplier interaction on ambidextrous innovation and business performance: The moderating role of competitive environment. The International Journal of Logistics Management, 32(2), 673–695. https://doi.org/10.1108/IJLM-05-2019-0141
Watling, C., Driessen, E., Van der Vleuten, C., Vanstone, M., & Lingard, L. (2012). Understanding responses to feedback: The potential and limitations of regulatory focus theory. Medical Education, 46, 593–603. https://doi.org/10.1111/j.1365-2923.2012.04209.x
Werth, L., & Foerster, J. (2007). How regulatory focus influences consumer behavior. European Journal of Social Psychology, 37(1), 33–51. https://doi.org/10.1002/ejsp.343
Winickoff, R. N., Coltin, K. L., Morgan, M. M., Buxbaum, R. C., & Barnett, G. O. (1984). Improving physician performance through peer comparison feedback. Medical Care, 22(6), 527–534. https://doi.org/10.1097/00005650-198406000-00003
Xu, W., Yang, L. Y., Liu, X., & Jin, P. N. (2023). Examining the effects of different forms of teacher feedback intervention for learners’ cognitive and emotional interaction in online collaborative discussion: A visualization method for process mining based on text automatic analysis. Education and Information Technologies. https://doi.org/10.1007/s10639-023-12097-6
Yang, Q., Yu, L., & Zhou, X. (2020). Investigation of college students’ behavioral learning engagement in online courses. International Journal of Engineering Education, 36(5), 1433–1447.
Yang, A. C., Chen, I. Y., Flanagan, B., & Ogata, H. (2022). How students’ self-assessment behavior affects their online learning performance. Computers and Education: Artificial Intelligence, 3, 100058. https://doi.org/10.1016/j.caeai.2022.100058
Yang, G., Zhou, W., Zhou, H. M., Li, J. W., Chen, X. D., & Tu, Y. F. (2023). An empirical study of the effects of intelligent cognitive diagnostic feedback strategy on L2 writing performance, epistemic structure, and transferability. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11905-3
Yeh, T.-K., Tseng, K.-Y., Cho, C.-W., Barufaldi, J. P., Lin, M.-S., & Chang, C.-Y. (2012). Exploring the impact of prior knowledge and appropriate feedback on students’ perceived cognitive load and learning outcomes: Animation-based earthquakes instruction. International Journal of Science Education, 34(10), 1555–1570. https://doi.org/10.1080/09500693.2011.579640
Yusuf, A., Noor, N. M., & Bello, S. (2023). Using multimodal learning analytics to model students’ learning behavior in animated programming classroom. Education and Information Technologies, 1–44. https://doi.org/10.1007/s10639-023-12079-8
Zarrinabadi, N., & Saberi Dehkordi, E. (2021). The effects of reference of comparison (self-referential vs. normative) and regulatory focus (promotion vs. prevention) feedback on EFL learners’ willingness to communicate. Language Teaching Research, 13621688211013618 https://doi.org/10.1177/13621688211013618
Zhang, Y., Dai, C. Y., Pi, Z. L., & Yang, J. M. (2023). Pre-class teacher feedback in the flipped classroom: Cognitive or praise feedback is better than mitigating feedback. Innovations in Education and Teaching International. https://doi.org/10.1080/14703297.2022.2052932
Zheng, X., Diaz, I., Jing, Y., & Chiaburu, D. S. (2015). Positive and negative supervisor developmental feedback and task-performance. Leadership & Organization Development Journal, 36(2), 212–232. https://doi.org/10.1108/LODJ-04-2013-0039
Zheng, L. Q., Niu, J. Y., & Zhong, L. (2022). Effects of a learning analytics-based real-time feedback approach on knowledge elaboration, knowledge convergence, interactive relationships and group performance in CSCL. British Journal of Educational Technology, 53(1), 130–149. https://doi.org/10.1111/bjet.13156
Zheng, X., Luo, L. S., & Liu, C. L. (2023). Facilitating undergraduates’ online self-regulated learning: The role of teacher feedback. Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-022-00697-8
Zhu, B., Kaber, D., Zahabi, M., & Ma, W. (2020). Effects of feedback type and modality on motor skill learning and retention. Behaviour & Information Technology, 39(4), 431–442.
Zhu, C. L., Zhang, F. L., Ling, C. D., & Xu, Y. F. (2023). Supervisor feedback, relational energy, and employee voice: The moderating role of leader-member exchange quality. International Journal of Human Resource Management. https://doi.org/10.1080/09585192.2022.2119093
Zou, L. W., & Chan, R. Y. (2019). Why and when do consumers perform green behaviors? An examination of regulatory focus and ethical ideology. Journal of Business Research, 94, 113–127. https://doi.org/10.1016/j.jbusres.2018.04.006
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The study is funded by the National Natural Science Foundation of China (72004139), the Science and Technology Commission of Shanghai Municipality (20ZR1454500).
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Shang, S., Li, Y. & You, X. Online teacher developmental feedback in competitive environments: the moderation roles of timeliness and regulatory focus. Educ Inf Technol 29, 12377–12412 (2024). https://doi.org/10.1007/s10639-023-12322-2
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DOI: https://doi.org/10.1007/s10639-023-12322-2