Abstract
Learning engagement is malleable to environmental change. An important learning environment created by teacher-student interactions is perceived teacher autonomy support, which may trigger learning engagement directly and/or indirectly by enhancing academic self-efficacy. In this study, we apply a network approach to explore the relationships between the specific facets of perceived teacher autonomy support, academic self-efficacy and learning engagement, and a sample consisting of 215 students in the fifth and sixth grades from a primary school in Changchun of China is used. Node centrality indicators and the accuracy and stability of the network are also calculated. The results reveal that there are no edges between the three facets of perceived teacher autonomy support and the three facets of learning engagement, and the shortest path connecting the two constructs is through academic ability self-efficacy. Furthermore, learning support, academic ability self-efficacy, and dedication have the top three strengths in the network, which indicates that the three facets are more closely related to other facets of the network.




Similar content being viewed by others
References
Ahlfeldt, S., Mehta, S., & Sellnow, T. (2005). Measurement and analysis of student engagement in university classes where varying levels of PBL methods of instruction are in use. Higher Education Research and Development, 24(1), 5–20. https://doi.org/10.1080/0729436052000318541
Aspland, T. (2009). First year students’ perspectives of learning engagement: the centrality of responsivity. e-Journal of Business Education & Scholarship of Teaching, 3(2), 29–40.
Babad, E. (1990). Measuring and changing teachers’ differential behavior as perceived by students and teachers. Journal of Educational Psychology, 82(4), 683–690. https://doi.org/10.1037/0022-0663.82.4.683
Bandura, A. (1999). Social cognitive theory: An agentic perspective. Asian Journal of Social Psychology, 2(1), 21–41. https://doi.org/10.1111/1467-839X.00024
Borsboom, D. (2008). Psychometric perspectives on diagnostic systems. Journal of Clinical Psychology, 64(9), 1089–1108. https://doi.org/10.1002/jclp.20503
Boschloo, L., van Borkulo, C. D., Rhemtulla, M., Keyes, K. M., Borsboom, D., & Schoevers, R. A. (2015). The network structure of symptoms of the diagnostic and statistical manual of mental disorders. PLoS ONE, 10(9), e0137621. https://doi.org/10.1371/journal.pone.0137621.
Bringmann, L. F., Elmer, T., Epskamp, S., Krause, R. W., Schoch, D., Wichers, M., Wigman, J. T. W., & Snippe, E. (2019). What do centrality measures measure in psychological networks? Journal of Abnormal Psychology, 128(8), 892–903. https://doi.org/10.1037/abn0000446
Bronfenbrenner, U., & Evans, G. W. (2000). Developmental science in the 21st century: Emerging questions, theoretical models, research designs and empirical findings. Social Development, 9(1), 115–125. https://doi.org/10.1111/1467-9507.00114
Cahyadi, A., Hendryadi, H., & Mappadang, A. (2021). Workplace and classroom incivility and learning engagement: The moderating role of locus of control. International Journal for Educational Integrity, 17(1), 1–17. https://doi.org/10.1007/s40979-021-00071-z
Chen, W. L. (2015). Gaozhongsheng xuexi dongji, ziwo xiaonenggan ji xuesheng ganzhi de jiaoshi zhichi yu yingyu chengji de guanxi yanjiu [A study on the influencing factors of english academic performance in high school students]. Journal of Longdong University, 26(3), 107–109.
Christenson, S. L., Reschly, A. L., & Wylie, C. (2012). Handbook of research on student engagement. Springer. https://doi.org/10.1007/978-1-4614-2018-7
Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010). Comorbidity: A network perspective. The Behavioral and Brain Sciences, 33(2–3), 137–193. https://doi.org/10.1017/S0140525X09991567
Costantini, G., Richetin, J., Preti, E., Casini, E., Epskamp, S., & Perugini, M. (2019). Stability and variability of personality networks. A tutorial on recent developments in network psychometrics. Personality and Individual Differences, 136, 68–78. https://doi.org/10.1016/j.paid.2017.06.011
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268. https://doi.org/10.1207/S15327965PLI1104_01
Duan, X. T., Li, Y. F., & Liu, Y. (2019). Chuzhongsheng ganzhi jiaoshi zhichi dui xuexi touru de yingxiang [The effect of middle school students’ perceived teacher support on learning engagement]. Mental Health Education in Primary and Secondary School, 386(3), 4–8.
Ekatushabe, M., Kwarikunda, D., Muwonge, C. M., Ssenyonga, J., & Schiefele, U. (2021). Relations between perceived teacher’s autonomy support, cognitive appraisals and boredom in physics learning among lower secondary school students. InternationalJournal of STEM Education, 8(1), 1–15. https://doi.org/10.1186/s40594-021-00272-5
Epskamp, S., Borsboom, D., & Fried, E. I. (2018a). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1
Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617–634. https://doi.org/10.1037/met0000167
Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018b). The Gaussian graphical model in cross-sectional and time-series data. Multivariate Behavioral Research, 53(4), 453–480. https://doi.org/10.1080/00273171.2018.1454823
Fang, S. T., Shi, K., & Zhang, F. H. (2008). Zhongwenban xuexi touru liangbiao de xinxiaodu yanjiu [A study of the reliability of the Chinese learning engagement scale]. Chinese Journal of Clinical Psychology, 16(6), 618–620.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059
Fruchterman, T. M. J., & Reingold, E. M. (1991). Graph drawing by force-directed placement. Software, Practice & Experience, 21(11), 1129–1164. https://doi.org/10.1002/spe.4380211102
Fu, M. Q. (2018). The relationship among academic achievement of junior high school students, teachers’ support and learning engagement (Unpublished Master’s Thesis). Shandong Normal University.
Gonzalez, O., & MacKinnon, D. P. (2018). A bifactor approach to model multifaceted constructs in statistical mediation analysis. Educational and Psychological Measurement, 78(1), 5–31. https://doi.org/10.1177/0013164416673689
Greene, T., Gelkopf, M., Fried, E. I., Robinaugh, D. J., & Lapid Pickman, L. (2020). Dynamic network analysis of negative emotions and DSM-5 posttraumatic stress disorder symptom clusters during conflict. Journal of Traumatic Stress, 33(1), 72–83. https://doi.org/10.1002/jts.22433
Hallen, R., Jongerling, J., & Godor, B. (2020). Coping and resilience in adults: A cross-sectional network analysis. Anxiety, Stress, and Coping, 33(5), 479–496.
Hornstra, L., van der Veen, I., Peetsma, T., & Volman, M. (2013). Developments in motivation and achievement during primary school: A longitudinal study on group-specific differences. Learning and Individual Differences, 23, 195–204. https://doi.org/10.1016/j.lindif.2012.09.004
Jia, X. J., Cai, L., Lin, L., & Lin, C. D. (2020). Gaozhongsheng ganzhi jiaoshi zizhu zhichi yu xuexi touru de guanxi: Xueye ziwo xiaonenggan he chengjiu mubiao dingxiang de lianshi zhongjie zuoyong [The relationship between perceived teachers’ support and academic engagement among high school students: The chain mediating effect of academic self-efficacy and achievement goal orientation]. Psychological Development and Education, 36(6), 700–707.
Jin, G., & Wang, Y. (2019). The influence of gratitude on learning engagement among adolescents: The multiple mediating effects of teachers’ emotional support and students’ basic psychological needs. Journal of Adolescence, 77, 21–31. https://doi.org/10.1016/j.adolescence.2019.09.006
Jones, P. J., Ma, R., & McNally, R. J. (2021). Bridge centrality: A network approach to understanding comorbidity. Multivariate Behavioral Research, 56(2), 353–367. https://doi.org/10.1080/00273171.2019.1614898
Kim, L. E., Dar-Nimrod, I., & MacCann, C. (2018). Teacher personality and teacher effectiveness in secondary school: Personality predicts teacher support and student self-efficacy but not academic achievement. Journal of Educational Psychology, 110(3), 309–323. https://doi.org/10.1037/edu0000217
Levi-Belz, Y., Greene, T., & Zerach, G. (2020). Associations between moral injury, PTSD clusters, and depression among Israeli veterans: a network approach. European Journal of Psychotraumatology, 11(1), 1736411. https://doi.org/10.1080/20008198.2020.1736411.
Liang, Y. S. (2000). Study on achievement goals, attribution styles and academic self-efficacy of collage students (Unpublished Master’s Thesis). Central China Normal University.
Lin, T. J. (2021). Multi-dimensional explorations into the relationships between high school students’ science learning self-efficacy and engagement. International Journal of Science Education, 43(8), 1193–1207. https://doi.org/10.1080/09500693.2021.1904523
Liu, R., Zhen, R., Ding, Y., Liu, Y., Wang, J., Jiang, R., & Xu, L. (2018). Teacher support and math engagement: Roles of academic self-efficacy and positive emotions. Educational Psychology, 38(1), 3–16. https://doi.org/10.1080/01443410.2017.1359238
Mageau, G. A., & Vallerand, R. J. (2003). The coach-athlete relationship: A motivational model. Journal of Sports Sciences, 21(11), 883–904. https://doi.org/10.1080/0264041031000140374
Ni, S. G., & Wu, X. C. (2011). Xuexi touru: Gainian, celiang yu xiangguan bianliang [Learning engagement: The conception, measurement and relevant variables]. Psychological Research Psychologische Forschung, 4(1), 81–87.
Näkk, A. M., & Timoštšuk, I. (2019). The dynamics of learning engagement and its relationship with teachers’ classroom practices in primary school. Education 3–13, 47(1), 89–100. https://doi.org/10.1080/03004279.2017.1404620.
OuYang, D. (2005). A research on the relation among teachers’ expectation, self- conception of students’ academic achievement, students’ perception of teacher’s behavioral supporting and the study achievement (Unpublished Master’s Thesis). Guangxi Normal University.
Papageorgiou, K. A., Benini, E., Bilello, D., Gianniou, F., Clough, P. J., & Costantini, G. (2019). Bridging the gap: A network approach to dark triad, mental toughness, the Big Five, and perceived stress. Journal of Personality, 87(6), 1250–1263. https://doi.org/10.1111/jopy.12472
Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315–341. https://doi.org/10.1007/s10648-006-9029-9
Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33–40. https://doi.org/10.1037/0022-0663.82.1.33
Putarek, V., & Pavlin-Bernardić, N. (2020). The role of self-efficacy for self-regulated learning, achievement goals, and engagement in academic cheating. European Journal of Psychology of Education, 35(3), 647–671. https://doi.org/10.1007/s10212-019-00443-7
Rath, D., de Beurs, D., Hallensleben, N., Spangenberg, L., Glaesmer, H., & Forkmann, T. (2019). Modelling suicide ideation from beep to beep: application of network analysis to ecological momentary assessment data. Internet Interventions: the Application of Information Technology in Mental and Behavioural Health, 87, 100292. https://doi.org/10.1016/j.invent.2019.100292.
Reyes, M. R., Brackett, M. A., Rivers, S. E., White, M., & Salovey, P. (2012). Classroom emotional climate, student engagement, and academic achievement. Journal of Educational Psychology, 104(3), 700–712. https://doi.org/10.1037/a0027268
Ryan, R. M., & Solky, J. A. (1996). What is supportive about social support? On the psychological needs for autonomy and relatedness. In G. R. Pierce, B. R. Sarason, & I. G. Sarason (Eds.), Handbook of social support and the family (pp. 249–268). Springer.
Saeki, E., & Quirk, M. (2015). Getting students engaged might not be enough: The importance of psychological needs satisfaction on social-emotional and behavioral functioning among early adolescents. Social Psychology of Education, 18(2), 355–371. https://doi.org/10.1007/s11218-014-9283-5
Sawka, K. D., Mccurdy, B. L., & Mannella, M. C. (2002). Strengthening emotional support services: An empirically based model for training teachers of students with behavior disorders. Journal of Emotional and Behavioral Disorders, 10(4), 223–232. https://doi.org/10.1177/10634266020100040401
Schaufeli, W. B., Salanova, M., González-romá, V., & Bakker, A. B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 3(1), 71–92. https://doi.org/10.1023/A:1015630930326
Schmittmann, V. D., Cramer, A. O., Waldorp, L. J., Epskamp, S., Kievit, R. A., & Borsboom, D. (2013). Deconstructing the construct: A network perspective on psychological phenomena. New Ideas in Psychology, 31(1), 43–53. https://doi.org/10.1016/j.newideapsych.2011.02.007
Scott, J. E., & Walczak, S. (2009). Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance. Information & Management, 46(4), 221–232. https://doi.org/10.1016/j.im.2008.10.003
Strati, A. D., Schmidt, J. A., & Maier, K. S. (2017). Perceived challenge, teacher support, and teacher obstruction as predictors of student engagement. Journal of Educational Psychology, 109(1), 131–147. https://doi.org/10.1037/edu0000108
Wagenmakers, E. J., Wetzels, R., Borsboom, D., & van der Maas, H. L. J. (2011). Why psychologists must change the way they analyze their data: The case of psi: Comment on Bem (2011). Journal of Personality and Social Psychology, 100(3), 426–432. https://doi.org/10.1037/a0022790
Wei, X., Jiang, H., Wang, H., Geng, J., Gao, T., Lei, L., & Ren L. (2022). The relationship between components of neuroticism and problematic smartphone use in adolescents: a network analysis. Personality and Individual Differences, 186, 111325. https://doi.org/10.1016/j.paid.2021.111325.
Wu, H., Li, S., Zheng, J., & Guo, J. (2020). Medical students’ motivation and academic performance: The mediating roles of self-efficacy and learning engagement. Medical Education Online, 25(1), 1742964. https://doi.org/10.1080/10872981.2020.1742964
Yoon, S., Kim, S., & Kang, M. (2020). Predictive power of grit, professor support for autonomy and learning engagement on perceived achievement within the context of a flipped classroom. Active Learning in Higher Education, 21(3), 233–247. https://doi.org/10.1177/1469787418762463
Zhang, J. J., Guan, D. X., Zhao, X. M., Cui, S., & Si, J. W. (2019). Xiaoxue ertong ganzhi dao de jiaoshi zhichi, shuxue ziwo xiaonenggan yu shuxue chengjiu de lainxi: You tiaojie de zhongjie moxing [Relationships among perceived teacher support, math self-efficacy and mathematics achievement for primary school students: A moderated mediation model]. Studies of Psychology and Behavior, 17(5), 644–651.
Zweerings, J., Pflieger, E. M., Mathiak, K. A., Zvyagintsev, M., Kacela, A., Flatten, G., & Mathiak, K. (2018). Impaired voluntary control in PTSD: probing self-regulation of the ACC with real-time fMRI. Frontiers in Psychiatry, 9, 219. https://doi.org/10.3389/fpsyt.2018.00219.
Funding
This work was supported by National Natural Science Foundation of China (No. 11871013) and Ministry of Education Key Projects of Philosophy and Social Science Research (No. 16JZD050).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Current themes of research:
Zixu Hu: Self-efficacy. Learning engagement. Network analysis.
Na Shan: Network analysis. Causal inference. Item response theory.
Runkai Jiao: Self-determination theory. Occupational Engagement.
Most relevant publications in the field of Psychology of Education:
Zixu Hu: No previous publications.
Na Shan: No previous publications.
Runkai Jiao: Wang, P., Zhang, L., Wang, X., Geng, J., Gao, X., Ma, J., & Jiao, R. (2018). Career exploration and decision self-efficacy scale: factorial structure and validity. Journal of College Student Development, 59(4), 475–478. https://doi.org/10.1353/csd.2018.0043
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
Hu, Z., Shan, N. & Jiao, R. The relationships between perceived teacher autonomy support, academic self-efficacy and learning engagement among primary school students: A network analysis. Eur J Psychol Educ 39, 503–516 (2024). https://doi.org/10.1007/s10212-023-00703-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10212-023-00703-7


