The Mediating Roles of Social Connectedness and Ego Resilience on the Impact of Classroom Anxiety and Growth Mindset on Student Performance through Structural Equation Modeling Approach

This study investigated the direct and indirect effects of classroom anxiety and growth mindset on student performance, with social connectedness and ego resilience as mediating variables, using a Structural Equation Modeling (SEM) approach. A total of 200 Junior High School learners from a public school participated by completing validated scales measuring classroom anxiety, growth mindset, social connectedness, and ego resilience. Academic performance was assessed using students’ general average grades. The model demonstrated excellent fit indices, validating the hypothesized relationships. Findings revealed that classroom anxiety negatively affected student performance both directly and indirectly through social connectedness. Growth mindset had a direct positive effect on performance and ego resilience, but not on social connectedness. Moreover, while ego resilience showed a significant direct effect on performance, it did not mediate the relationship between growth mindset and academic outcomes. Social connectedness emerged as a key mediator, significantly linking both classroom anxiety and growth mindset to student performance. These results highlight the importance of addressing emotional and social factors in educational settings. Reducing classroom anxiety, fostering supportive peer relationships, and cultivating a growth mindset are essential strategies for improving academic achievement. The study underscores the value of holistic approaches to student development, integrating cognitive, emotional, and social dimensions of learning.

classroom anxiety, growth mindset, social connectedness, ego resilience, SEM

1. Burnette, J., Billingsley, J., Banks, G., Knouse, L., Hoyt, C., Pollack, J., … & Simon, S. (2023). A systematic review and meta-analysis of growth mindset interventions: for whom, how, and why might such interventions work?. Psychological Bulletin, 149(3-4), 174-205. https://doi.org/10.1037/bul0000368 [Google Scholar] [Crossref]

2. Claro, S., Paunesku, D., & Dweck, C. (2016). Growth mindset tempers the effects of poverty on academic achievement. Proceedings of the National Academy of Sciences, 113(31), 8664-8668. https://doi.org/10.1073/pnas.1608207113 [Google Scholar] [Crossref]

3. Limeri, L., Carter, N., Choe, J., Harper, H., Martin, H., Benton, A., … & Dolan, E. (2020). Growing a growth mindset: characterizing how and why undergraduate students’ mindsets change. International Journal of Stem Education, 7(1). https://doi.org/10.1186/s40594-020-00227-2 [Google Scholar] [Crossref]

4. Tabassum, I., Rana, M., & Gull, F. (2024). Effect of prospective teachers' growth mindset on their self-efficacy, psychological well-being and academic achievement. Journal of Development and Social Sciences, 5(I). https://doi.org/10.47205/jdss.2024(5-i)34 [Google Scholar] [Crossref]

5. Wu, F., Chen, G., & Xiang, S. (2022). Does psychological safety at school affect psychological capital at work? evidence from part-time mba students. Nankai Business Review International, 13(3), 441-456. https://doi.org/10.1108/nbri-08-2021-0056 [Google Scholar] [Crossref]

6. Zeng, G., Hou, H., & Peng, K. (2016). Effect of growth mindset on school engagement and psychological well-being of chinese primary and middle school students: the mediating role of resilience. Frontiers in Psychology, 7. https://doi.org/10.3389/fpsyg.2016.01873 [Google Scholar] [Crossref]

7. Zhang, J., Kuusisto, E., & Tirri, K. (2020). Same mindset, different pedagogical strategies: a case study comparing chinese and finnish teachers. International Journal of Learning Teaching and Educational Research, 19(2), 248-262. https://doi.org/10.26803/ijlter.19.2.15 [Google Scholar] [Crossref]

8. Zhao, Y., Niu, G., Hou, H., Zeng, G., Xu, L., Peng, K., … & Yu, F. (2018). From growth mindset to grit in chinese schools: the mediating roles of learning motivations. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02007 [Google Scholar] [Crossref]

9. Handara, M. and Irafahmi, D. (2022). Hardiness, social support, and academic stress of students working on bachelor’s thesis during the pandemic. Journal of Educational Health and Community Psychology, 11(4), 766. https://doi.org/10.12928/jehcp.v11i4.24382 [Google Scholar] [Crossref]

10. Kamila, T. and Ramadhani, A. (2024). Social support management and academic stress: implications for students' subjective well-being. Munaddhomah Jurnal Manajemen Pendidikan Islam, 5(3), 315-324. https://doi.org/10.31538/munaddhomah.v5i3.1353 [Google Scholar] [Crossref]

11. Mosanya, M. (2020). Buffering academic stress during the covid-19 pandemic related social isolation: grit and growth mindset as protective factors against the impact of loneliness. International Journal of Applied Positive Psychology, 6(2), 159-174. https://doi.org/10.1007/s41042-020-00043-7 [Google Scholar] [Crossref]

12. Muhtar, N. and Wijaya, H. (2024). Understanding the dynamics of social support, self-efficacy, and academic stress in the context of online learning: evidence from undergraduate students. Kne Social Sciences. https://doi.org/10.18502/kss.v9i5.15202 [Google Scholar] [Crossref]

13. Padmanabhanunni, A., Pretorius, T., & Isaacs, S. (2023). We are not islands: the role of social support in the relationship between perceived stress during the covid-19 pandemic and psychological distress. International Journal of Environmental Research and Public Health, 20(4), 3179. https://doi.org/10.3390/ijerph20043179 [Google Scholar] [Crossref]

14. Rosyid, M. and Laili, N. (2024). Social support and psychological well-being as predictors of academic stress among vocational high school students.. https://doi.org/10.4108/eai.18-7-2023.2343802 [Google Scholar] [Crossref]

15. Suwajo, T., Mungkornpanich, P., Patanapipat, P., Luksiri, P., Boontanaakrapat, P., Nititham, T., … & Wainipitapong, S. (2024). Correlation of learning engagement and social support affecting the academic stress of thai high school students. International Journal of Public Health Science (Ijphs), 13(3), 1095. https://doi.org/10.11591/ijphs.v13i3.23680 [Google Scholar] [Crossref]

16. Yao, G., Jamal, A., Abdullah, M., Dzulkipli, M., & Jamil, N. (2024). Examining the psychosocial factors of mental health well-being among medical university students: gender-based analyses. Information Management and Business Review, 16(3(I)S), 787-798. https://doi.org/10.22610/imbr.v16i3(i)s.4108 [Google Scholar] [Crossref]

17. Zhang, Y., Pengyue, Z., Chen, D., Qichao, N., Pang, D., Song, A., … & Di, Z. (2022). The association between academic stress, social support, and self-regulatory fatigue among nursing students: a cross-sectional study based on a structural equation modelling approach. BMC Medical Education, 22(1). https://doi.org/10.1186/s12909-022-03829-2 [Google Scholar] [Crossref]

18. Bordbar, M. (2021). Autonomy-supportive faculty, students' self-system processes, positive academic emotions, and agentic engagement: adding emotions to self-system model of motivational development. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.727794 [Google Scholar] [Crossref]

19. Fardian, F., Mawarpury, M., Munadi, K., & Arnia, F. (2022). Thermography for emotion recognition using deep learning in academic settings: a review. Ieee Access, 10, 96476-96491. https://doi.org/10.1109/access.2022.3199736 [Google Scholar] [Crossref]

20. Fuente, J., Lecuona-López, L., Pachón-Basallo, M., Martín-Íñiguez, L., & Blanco-Sarto, P. (2024). Addressing the links between and internal vs. external regulation factors, achievement emotions and gender in problematic use of ict at university. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1382016 [Google Scholar] [Crossref]

21. Huang, Y. (2023). The effect of achievement goals on academic anxiety: emotion regulations moderating role. Lecture Notes in Education Psychology and Public Media, 15(1), 116-124. https://doi.org/10.54254/2753-7048/15/20231043 [Google Scholar] [Crossref]

22. Nazish, A. and Kang, M. (2024). Exploring the positive teacher-student relationship on students' motivation and academic performance in secondary schools in karachi. Academy of Education and Social Sciences Review, 4(2), 149-159. https://doi.org/10.48112/aessr.v4i2.710 [Google Scholar] [Crossref]

23. Suzuki, M. and Tonegawa, A. (2020). Development of the japanese version of the achievement emotions questionnaire – elementary school (aeq‐es‐j)1,2. Japanese Psychological Research, 64(1), 40-52. https://doi.org/10.1111/jpr.12303 [Google Scholar] [Crossref]

24. Chen, Q., Gao, W., Chen, B., Kong, Y., Lu, L., & Yang, S. (2021). Ego-resiliency and perceived social support in late childhood: a latent growth modeling approach. International Journal of Environmental Research and Public Health, 18(6), 2978. https://doi.org/10.3390/ijerph18062978 [Google Scholar] [Crossref]

25. Oram, R., Dou, A., & Rogers, M. (2022). Pilot study of self-determination theory and motivational interviewing intervention targeting need satisfaction, motivation, and procrastination.. Scholarship of Teaching and Learning in Psychology. https://doi.org/10.1037/stl0000331 [Google Scholar] [Crossref]

26. Raboca, H. and Cărbunărean, F. (2024). Faculty support and students’ academic motivation. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1406611 [Google Scholar] [Crossref]

27. Ryan, R. and Deci, E. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860. https://doi.org/10.1016/j.cedpsych.2020.101860 [Google Scholar] [Crossref]

28. Hou, T., Zhang, R., Xie, Y., Yin, Q., Cai, W., Wei, D., … & Deng, G. (2022). Education and subjective well-being in chinese rural population: a multi-group structural equation model. Plos One, 17(3), e0264108. https://doi.org/10.1371/journal.pone.0264108 [Google Scholar] [Crossref]

29. Perkins, K., Carey, K., Lincoln, E., Shih, A., Donalds, R., Schneider, S., … & Green, J. (2021). School connectedness still matters: the association of school connectedness and mental health during remote learning due to covid-19. The Journal of Primary Prevention, 42(6), 641-648. https://doi.org/10.1007/s10935-021-00649-w [Google Scholar] [Crossref]

30. Rehman, A., You, X., Wang, Z., & Kong, F. (2021). The link between mindfulness and psychological well-being among university students: the mediating role of social connectedness and self-esteem. Current Psychology, 42(14), 11772-11781. https://doi.org/10.1007/s12144-021-02428-6 [Google Scholar] [Crossref]

31. Samson, P. (2021). Campus connectedness and its relationship to stress, anxiety and depression among nepalese undergraduate nursing students. Open Journal of Nursing, 11(10), 871-881. https://doi.org/10.4236/ojn.2021.1110071 [Google Scholar] [Crossref]

32. Widnall, E., Winstone, L., Plackett, R., Adams, E., Haworth, C., Mars, B., … & Kidger, J. (2022). Impact of school and peer connectedness on adolescent mental health and well-being outcomes during the covid-19 pandemic: a longitudinal panel survey. International Journal of Environmental Research and Public Health, 19(11), 6768. https://doi.org/10.3390/ijerph19116768 [Google Scholar] [Crossref]

33. Zeinalipour, H. (2021). School connectedness, academic self-efficacy, and academic performance: mediating role of hope. Psychological Reports, 125(4), 2052-2068. https://doi.org/10.1177/00332941211006926 [Google Scholar] [Crossref]

34. Baksh, R., Bugeja, T., & MacPherson, S. (2020). Executive functions do not underlie performance on the Edinburgh Social Cognition Test (ESCOT) in healthy younger and older adults. Journal of the International Neuropsychological Society, 26(5), 527–538. https://doi.org/10.1017/S1355617719001450 [Google Scholar] [Crossref]

35. Brady, R., Beermann, A., Nye, M., Eack, S., Mesholam‐Gately, R., Keshavan, M., … & Lewandowski, K. (2020). Cerebellar-cortical connectivity is linked to social cognition trans-diagnostically. Frontiers in Psychiatry, 11, 573002. https://doi.org/10.3389/fpsyt.2020.573002 [Google Scholar] [Crossref]

36. Duan, Y., Shuai, J., Yin, Z., Wang, S., Gao, J., Yang, M., … & Wang, C. (2023). Association of social isolation and cognitive performance: A longitudinal study using a four-wave nationwide survey. BMC Public Health, 23(1), 16274. https://doi.org/10.1186/s12889-023-16274-7 [Google Scholar] [Crossref]

37. Ferrer-Quintero, M., Green, M., Horan, W., Penn, D., Kern, R., & Lee, J. (2021). The effect of sex on social cognition and functioning in schizophrenia. NPJ Schizophrenia, 7(1), 1–7. https://doi.org/10.1038/s41537-021-00188-7 [Google Scholar] [Crossref]

38. Hajdúk, M., Pinkham, A., Penn, D., Harvey, P., & Sasson, N. (2022). Heterogeneity of social cognitive performance in autism and schizophrenia. Autism Research, 15(8), 1522–1534. https://doi.org/10.1002/aur.2730 [Google Scholar] [Crossref]

39. Henry, A., Lannoy, S., Chaunu, M., Tourbah, A., & Montreuil, M. (2021). Social cognition and executive functioning in multiple sclerosis: A cluster‐analytic approach. Journal of Neuropsychology, 16(1), 97–115. https://doi.org/10.1111/jnp.12248 [Google Scholar] [Crossref]

40. Isernia, S., MacPherson, S., Baksh, R., Bergsland, N., Marchetti, A., Baglio, F., … & Massaro, D. (2022). Italian adaptation of the Edinburgh Social Cognition Test (ESCOT): A new tool for the assessment of theory of mind and social norm understanding. Frontiers in Psychology, 13, 971187. https://doi.org/10.3389/fpsyg.2022.971187 [Google Scholar] [Crossref]

41. Lammer, L., Beyer, F., Luppa, M., Sanders, C., Baber, R., Engel, C., … & Witte, A. (2023). Impact of social isolation on grey matter structure and cognitive functions: A population-based longitudinal neuroimaging study. eLife, 12, e83660. https://doi.org/10.7554/eLife.83660 [Google Scholar] [Crossref]

42. Lin, X., Zhang, X., Liu, Q., Zhao, P., Zhong, J., Pan, P., … & Yi, Z. (2020). Social cognition in multiple sclerosis and its subtypes. Medicine, 99(33), e21750. https://doi.org/10.1097/MD.0000000000021750 [Google Scholar] [Crossref]

43. Wang, C., Zhang, J., Hu, C., & Wang, Y. (2021). Prevalence and risk factors for cognitive frailty in aging hypertensive patients in China. Brain Sciences, 11(8), 1018. https://doi.org/10.3390/brainsci11081018 [Google Scholar] [Crossref]

44. Wu, F., & Zhou, C. (2024). Hearing impairment and cognitive function: Mediating role of social isolation and depression. American Journal of Alzheimer’s Disease & Other Dementias®, 39, 15333175241227318. https://doi.org/10.1177/15333175241227318 [Google Scholar] [Crossref]

45. Alev, S. (2022). The mediating role of psychological well-being in the relationship between the psychological contract and professional engagement. Psihologija, 55(3), 227-244. https://doi.org/10.2298/psi210204014a [Google Scholar] [Crossref]

46. Chen, S., Shao, J., Liu, N., & Du, Y. (2022). Reading the wind: impacts of leader negative emotional expression on employee silence. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.762920 [Google Scholar] [Crossref]

47. He, M., Li, Y., Hu, H., Yu, Z., Cai, C., Cheng, Y., … & Liu, S. (2024). The relationship between impostor phenomenon and career decision-making difficulties among nursing interns: the mediating role of psychological resilience. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1484708 [Google Scholar] [Crossref]

48. Huda, N., Deli, H., Shaw, M., Huang, T., & Chang, H. (2021). Mediation of coping strategies among patients with advanced cancer. Clinical Nursing Research, 30(8), 1153-1163. https://doi.org/10.1177/10547738211003276 [Google Scholar] [Crossref]

49. Kim, S. and Kweon, Y. (2020). Psychological capital mediates the association between job stress and burnout of among korean psychiatric nurses. Healthcare, 8(3), 199. https://doi.org/10.3390/healthcare8030199 [Google Scholar] [Crossref]

50. Mehmood, M., Zhang, J., Akram, U., & Tariq, A. (2021). Entrepreneurial leadership: the key to develop creativity in organizations. Leadership & Organization Development Journal, 42(3), 434-452. https://doi.org/10.1108/lodj-01-2020-0008 [Google Scholar] [Crossref]

51. Zhao, Y., Lindquist, M., & Caffo, B. (2020). Sparse principal component based high-dimensional mediation analysis. Computational Statistics & Data Analysis, 142, 106835. https://doi.org/10.1016/j.csda.2019.106835 [Google Scholar] [Crossref]

52. Bollen, K. A. (1989). Structural equations with latent variables. Wiley. [Google Scholar] [Crossref]

53. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. Sage Focus Editions, 154, 136–136. [Google Scholar] [Crossref]

54. Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge. [Google Scholar] [Crossref]

55. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. [Google Scholar] [Crossref]

56. Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press. [Google Scholar] [Crossref]

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