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Dergiler / Çukurova Üniversitesi Eğitim Fakültesi Dergisi / 2026 / Cilt: 55 Sayı: 2

Lise Öğrencilerinde Akademik Başarının Açıklanmasında Ebeveyn Desteği ve Öğrenme Çevikliğinin Rolü

The Role of Parental Support and Learning Agility in Explaining Academic Achievement among High School Students

Ayşegül Kayhan, Muhammet Fatih Alkan

Sayfa
1148–1174
Yayın Tarihi
2026-08-31
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Özet

Bu çalışmanın amacı, Türk lise öğrencilerinde akademik başarı, ebeveyn desteği ve öğrenme çevikliği arasındaki yapısal ilişkilerin incelenmesidir. Bu amaç doğrultusunda Çalışma Talepleri-Kaynakları Kuramına dayalı olarak dört hipotez önerilmiştir. Çoğunluğu kadın (f=283, %66.9) olan 423 lise öğrencisinden veriler toplanmıştır. Hipotezleri test etmek için yapısal eşitlik modellemesi kullanılmıştır. Sonuçlar, hipotezlerin çoğunun doğrulandığını göstermiştir. Buna göre ebeveyn desteği akademik başarıyı doğrudan yordamamıştır ancak öğrenme çevikliği üzerinden dolaylı etkisi ve toplam etkisi olumlu ve anlamlıdır. Ayrıca, öğrenme çevikliğinin de akademik başarı üzerinde olumlu ve anlamlı bir etkisi tespit edilmiştir. Bu sonuçlar Çalışma Talepleri-Kaynakları çerçevesini desteklemekte ve ebeveyn desteğinin öğrencilerin öğrenme kapasitesini artıran bir çalışma kaynağı olarak işlev gösterdiğini vurgulamaktadır. Özellikle, ebeveyn desteği öğrenme çevikliğini güçlendirerek ve öğrencilerin deneyimlerinden öğrenmesini ve akademik zorluklara etkili bir şekilde uyum sağlamasını mümkün kılarak akademik başarıya katkı sağlamaktadır. Bu çalışma, öğrenci motivasyonunu ve öğrenme uyumunu güçlendiren destekleyici ebeveyn davranışlarının önemini vurgulamaktadır. Eğitsel uygulamalar ve gelecekteki araştırmalar için çıkarımlar tartışılmıştır.

Abstract

The purpose of the current study is to investigate the structural associations among academic achievement, parental support and learning agility among Turkish high school students. Within this scope, four hypotheses were formulated based on Study Demands-Resources Theory. The data were collected from 423 high school students, the majority of whom were female (f=283, 66.9%). Structural equation modeling (SEM) was conducted to test the hypotheses. The results revealed that most of the hypotheses were supported. Accordingly, parental support did not directly predict academic achievement while the indirect impact via learning agility and total impact were positive and significant. Moreover, learning agility was found to have a positive and significant impact on academic achievement. These findings support the Study Demands-Resources framework, indicating that parental support serves as a valuable resource that enhances students’ learning capacity. Specifically, parental support contributes to academic achievement by fostering learning agility, enabling students to learn from their experiences and adapt effectively to academic challenges. The study highlights the importance of supportive parental behaviors that strengthen students’ motivation and learning adaptability. Implications for educational practice and future research are discussed.

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Bu Makaleye Atıf Yap

Kayhan, A., Alkan, M. F. (2026). Lise Öğrencilerinde Akademik Başarının Açıklanmasında Ebeveyn Desteği ve Öğrenme Çevikliğinin Rolü. Çukurova Üniversitesi Eğitim Fakültesi Dergisi, Cilt: 55 Sayı: 2, 1148–1174. https://doi.org/10.14812/cuefd.1815986

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Kaynakça (65)

  1. Ahmed, Q. W., Rönkä, A., & Perälä-Littunen, S. (2022). Rural children’s perceptions of parental involvement in their education in Pakistan. Education Sciences, 12(5), Article 323. https://doi.org/10.3390/educsci12050323
  2. Ahmed, W., Minnaert, A., van der Werf, G., & Kuyper, H. (2010). Perceived social support and early adolescents' achievement: The mediational roles of motivational beliefs and emotions. Journal of Youth and Adolescence, 39(1), 36–46. https://doi.org/10.1007/s10964-008-9367-7
  3. Alkan, M. F., & Maviş Sevim, Ö. (2022). The development and psychometric properties of the Learning Agility Scale for pre-service teachers. Teacher Development, 26(5), 644–664. https://doi.org/10.1080/13664530.2022.2130420
  4. Atli, A., Canpolat, M., & Yazıcı Demir, Y. (2025). Becoming a champion in exams: A case study of top performers in Türkiye’s HEIE. International Journal of Turkish Education Sciences, 13(2), 1009-1038. https://doi.org/10.46778/goputeb.1576102
  5. Bakker, A. B., & Demerouti, E. (2007). The job demands‐resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328. https://doi.org/10.1108/02683940710733115
  6. Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. https://doi.org/10.1037/ocp0000056
  7. Bakker, A. B., & de Vries, J. D. (2021). Job Demands-Resources theory and self-regulation: New explanations and remedies for job burnout. Anxiety, Stress, and Coping, 34(1), 1–21. https://doi.org/10.1080/10615806.2020.1797695
  8. Bakker, A. B., & Mostert, K. (2024). Study Demands—Resources Theory: Understanding student well-being in higher education. Educational Psychology Review, 36(3), Article 92. https://doi.org/10.1007/s10648-024-09940-8
  9. Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588
  10. Bollen, K. A. (1989). Structural equations with latent variables. John Wiley & Sons. https://doi.org/10.1002/9781118619179
  11. Choe, D. (2020). Parents’ and adolescents’ perceptions of parental support as predictors of adolescents’ academic achievement and self-regulated learning. Children and Youth Services Review, 116, Article 105172. https://doi.org/10.1016/j.childyouth.2020.105172
  12. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Erlbaum.
  13. Cohen, L., Manion, L., & Morrison, K. (2005). Research methods in education (5th ed.). Taylor & Francis.
  14. Costa, A., Moreira, D., Casanova, J., Azevedo, Â., Gonçalves, A., Oliveira, Í., Azevedo, R., & Dias, P. C. (2024). Determinants of academic achievement from the middle to secondary school education: A systematic review. Social Psychology of Education. 27, 3533–3572. https://doi.org/10.1007/s11218-024-09941-z
  15. Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16–29. https://doi.org/10.1037/1082-989X.1.1.16
  16. De Meuse, K. P. (2019). A meta-analysis of the relationship between learning agility and leader success. Journal of Organizational Psychology, 19(1), 25-34. https://doi.org/10.33423/jop.v19i1.1088
  17. De Meuse, K. P., Dai, G., & Hallenbeck, G. S. (2010). Learning agility: A construct whose time has come. Consulting Psychology Journal: Practice and Research, 62(2), 119–130. https://doi.org/10.1037/a0019988
  18. Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499
  19. Erdem, C., & Kaya, M. (2020). A meta-analysis of the effect of parental involvement on students’ academic achievement. Journal of Learning for Development, 7(3), 367–383. https://doi.org/10.56059/jl4d.v7i3.417
  20. Fan, X., & Chen, M. (2001). Parental involvement and students' academic achievement: A meta-analysis. Educational Psychology Review, 13(1), 1–22. https://doi.org/10.1023/A:1009048817385
  21. Ghani, A. S. A., Rahim, A. F. A., Yusoff, M. S. B., & Hadie, S. N. H. (2021). Effective learning behavior in problem-based learning: A scoping review. Medical Science Educator, 31(3), 1199–1211. https://doi.org/10.1007/s40670-021-01292-0
  22. Gunderson, E. A., Donnellan, M. B., Robins, R. W., & Trzesniewski, K. H. (2018). The specificity of parenting effects: Differential relations of parent praise and criticism to children's theories of intelligence and learning goals. Journal of Experimental Child Psychology, 173, 116–135. https://doi.org/10.1016/j.jecp.2018.03.015
  23. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall.
  24. Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408-420. https://doi.org/10.1080/03637750903310360
  25. Hill, N. E., & Tyson, D. F. (2009). Parental involvement in middle school: A meta-analytic assessment of the strategies that promote achievement. Developmental Psychology, 45(3), 740–763. https://doi.org/10.1037/a0015362
  26. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  27. Huang, H., & Kou, H. (2025). Learning agility, self-efficacy, and resilience as pathways to mental health in higher education: Insights from a mixed-methods study. Frontiers in Psychology, 16, 1528066. https://doi.org/10.3389/fpsyg.2025.1528066
  28. James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning: with applications in R. Springer.
  29. Jeon, M. K., Lee, I., & Lee, M. Y. (2022). The multiple mediating effects of grit and learning agility on academic burnout and learning engagement among Korean university students: a cross-sectional study. Annals of Medicine, 54(1), 2710–2724. https://doi.org/10.1080/07853890.2022.2122551
  30. Jeynes, W. (2012). A meta-analysis of the efficacy of different types of parental involvement programs for urban students. Urban Education, 47(4), 706–742. https://doi.org/10.1177/0042085912445643
  31. 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, 899706. https://doi.org/10.3389/fpsyg.2022.899706
  32. Kapıkıran, Ş. (2016). Ebeveyn Akademik Başarı Baskısı ve Desteği Ölçeğinin psikometrik değerlendirmeleri ve yapısal geçerlik: Ortaokul ve lise öğrencileri. Ege Eğitim Dergisi, 17(1), 62-83. https://doi.org/10.12984/eed.07848
  33. Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd edition). The Guilford Press.
  34. Lesener, T., Pleiss, L. S., Gusy, B., & Wolter, C. (2020). The Study Demands-Resources Framework: An empirical introduction. International Journal of Environmental Research and Public Health, 17(14), 5183. https://doi.org/10.3390/ijerph17145183
  35. MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: distribution of the product and resampling methods. Multivariate Behavioral Research, 39(1), 99-128. https://doi.org/10.1207/s15327906mbr3901_4
  36. Martínez-López, Z., Moran, V. E., Mayo, M. E., Villar, E., & Tinajero, C. (2024). Perceived social support and its relationship with self-regulated learning, goal orientation self-management, and academic achievement. European Journal of Psychology of Education, 39(2), 813–835. https://doi.org/10.1007/s10212-023-00752-y
  37. Martinez-Yarza, N., Solabarrieta-Eizaguirre, J., & Santibáñez-Gruber, R. (2024). The impact of family involvement on students’ social-emotional development: The mediational role of school engagement. European Journal of Psychology of Education, 39, 4297–4327. https://doi.org/10.1007/s10212-024-00862-1
  38. Mata, L., Pedro, I., & Peixoto, F. J. (2018). Parental support, student motivational orientation and achievement: The impact of emotions. The International Journal of Emotional Education, 10(2), 77–92.
  39. Maviş Sevim, F. Ö., & Alkan, M. F. (2024). Öğretmen adaylarının kişilerarası iletişim yetkinlikleri ile öğretmen özyeterlikleri arasındaki ilişkide öğrenme çevikliğinin aracı rolü. Van Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi, 21(1), 1-26. https://doi.org/10.33711/yyuefd.1320560
  40. Milani, R., Setti, I., & Argentero, P. (2021). Learning agility and talent management: A systematic review and future prospects. Consulting Psychology Journal: Practice and Research, 73(4), 349–371. https://doi.org/10.1037/cpb0000209
  41. Moral-García, J. E., Urchaga-Litago, J. D., Ramos-Morcillo, A. J., & Maneiro, R. (2020). Relationship of parental support on healthy habits, school motivations and academic performance in adolescents. International Journal of Environmental Research and Public Health, 17(3), 882. https://doi.org/10.3390/ijerph17030882
  42. Nakhostin-Khayyat, M., Borjali, M., Zeinali, M., Fardi, D., & Montazeri, A. (2024). The relationship between self-regulation, cognitive flexibility, and resilience among students: A structural equation modeling. BMC Psychology, 12(1), 337. https://doi.org/10.1186/s40359-024-01843-1
  43. National Research Council. (2012). Education for life and work: Developing transferable knowledge and skills in the 21st century. The National Academies Press. https://doi.org/10.17226/13398
  44. Özgenel, M., & Avcı, S. (2025). Parental and teacher autonomy support in developing self-regulation skills. Behavioral Sciences, 15(12), 1621. https://doi.org/10.3390/bs15121621
  45. Patall, E. A., Cooper, H., & Robinson, J. C. (2008). Parent involvement in homework: A research synthesis. Review of Educational Research, 78(4), 1039–1101. https://doi.org/10.3102/0034654308325185
  46. Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students' academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353–387. https://doi.org/10.1037/a0026838
  47. Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261–288. https://doi.org/10.1037/0033-2909.130.2.261
  48. Saada, N. (2021). Parental involvement and self-regulated learning: The case of Arab learners in Israel. Journal of Interdisciplinary Studies in Education, 10(2), 1-26.
  49. Salmela-Aro, K., Moeller, J., Schneider, B., Spicer, J., & Lavonen, J. (2016). Integrating the light and dark sides of student engagement using person-oriented and situation-specific approaches. Learning and Instruction, 43, 61–70. https://doi.org/10.1016/j.learninstruc.2016.01.001
  50. Salmela-Aro, K., & Upadyaya, K. (2014). School burnout and engagement in the context of demands-resources model. The British Journal of Educational Psychology, 84(1), 137–151. https://doi.org/10.1111/bjep.12018
  51. Schwerter, J., Stang-Rabrig, J., Kleinkorres, R., Bleher, J., Doebler, P., & McElvany, N. (2024). Importance of students’ social resources for their academic achievement and well-being in elementary school. European Journal of Psychology of Education. 39, 4515–4552. https://doi.org/10.1007/s10212-024-00877-8
  52. Seo, E., Patall, E. A., Lee, S. Y., & Molina, M. H. (2025). Parental behavioral control and student motivation: Why control over big dreams vs. Daily tasks matters. Journal of Child and Family Studies. 34, 1909–1923. https://doi.org/10.1007/s10826-025-03104-0
  53. Song, L., Zhan, Q., Cao, L., & Luo, R. (2024). Parent autonomy support and undergraduates’ academic engagement in online learning: the mediate role of self-regulation. Psicologia: Reflexão e Crítica, 37, 45. https://doi.org/10.1186/s41155-024-00330-1
  54. Soper, D. S. (2025). A-priori sample size calculator for structural equation models [Software]. https://www.danielsoper.com/statcalc
  55. Steinmayr, R., Meißner, A., Weidinger, A. F., & Wirthwein, L. (2014). Academic achievement. Oxford Bibliographies. https://doi.org/10.1093/obo/9780199756810-0108
  56. Steinmayr, R., Weidinger, A. F., Schwinger, M., & Spinath, B. (2019). The importance of students' motivation for their academic achievement - replicating and extending previous findings. Frontiers in Psychology, 10, 1730. https://doi.org/10.3389/fpsyg.2019.01730
  57. Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
  58. Trilling, B., & Fadel, C. (2009). 21st century skills: Learning for life in our times. Jossey-Bass/Wiley.
  59. Tunç, H., & Atmaca, T. (2024). Ortaöğretim öğrencilerinde başarı yönelimi, algılanan ebeveyn desteği ve baskısı ile akademik motivasyon arasındaki ilişki. Cumhuriyet Uluslararası Eğitim Dergisi, 13(4), 858-868. https://doi.org/10.30703/cije.1372534
  60. Wang, M.-T., & Holcombe, R. (2010). Adolescents’ perceptions of school environment, engagement, and academic achievement in middle school. American Educational Research Journal, 47(3), 633–662. https://doi.org/10.3102/0002831209361209
  61. Wentzel, K. R. (2017). Peer relationships, motivation, and academic performance at school. In A. J. Elliot, C. S. Dweck, & D. S. Yeager (Eds.), Handbook of competence and motivation: Theory and application (2nd ed., pp. 586–603). The Guilford Press.
  62. Yau, P. S., Cho, Y., Shane, J., Kay, J., & Heckhausen, J. (2022). Parenting and adolescents’ academic achievement: The mediating role of goal engagement and disengagement. Journal of Child and Family Studies, 31(4), 897–909. https://doi.org/10.1007/s10826-021-02007-0
  63. Zeijen, M. E. L., Brenninkmeijer, V., Peeters, M. C. W., & Mastenbroek, N. J. J. M. (2024). The role of personal demands and personal resources in enhancing study engagement and preventing study burnout. The Spanish Journal of Psychology, 27, e10. https://doi.org/10.1017/SJP.2024.10
  64. Zimmer-Gembeck, M. J., Skinner, E. A., Scott, R. A., Ryan, K. M., Hawes, T., Gardner, A. A., & Duffy, A. L. (2023). Parental support and adolescents' coping with academic stressors: A longitudinal study of parents' influence beyond academic pressure and achievement. Journal of Youth and Adolescence, 52(12), 2464–2479. https://doi.org/10.1007/s10964-023-01864-w
  65. Zimmerman, B. J., & Schunk, D. H. (Eds.). (2011). Handbook of self-regulation of learning and performance. Routledge/Taylor & Francis Group.