Academic Resilience and Growth Mindset of Senior High School Students in Relation to Their Early Learning Experiences
DOI:
https://doi.org/10.70211/wesw.v3i1.419Abstract
This study aims to examine senior high school students' early learning experiences, growth mindset, and academic resilience to provide baseline data for developing digital guidance services. A quantitative descriptive design was used, involving an online survey with 3,746 students. The survey included both open-ended questions to explore early learning experiences and closed-ended Likert scale questions to assess growth mindset and academic resilience. Data analysis revealed that 66.20% of students reported mixed early learning experiences, 30.25% reported positive experiences, and 3.55% reported less positive experiences. Regarding growth mindset and academic resilience, 77.95% and 83.08% of students, respectively, were categorized at moderate levels. The results indicate that while students exhibit adaptive potential, their growth mindset and coping strategies are still developing. These findings highlight the importance of understanding the factors influencing students' mindset and resilience. This study suggests the need for reflective e-guidance services to help students strengthen their growth-oriented beliefs and improve their academic resilience, providing a promising approach to supporting students' learning and development.
References
[1] I. Rachmawati, B. Astuti, and M. Kurniasari, “Students’ Academic Resilience: A Descriptive Study,” Bul. Konseling Inov., vol. 4, no. 1, pp. 55–60, 2024, doi: 10.17977/um059v4i12024p55-60. DOI: https://doi.org/10.17977/um059v4i12024p55-60
[2] M. S. Nuha, M. Muslihati, and Z. Zamroni, “Academic Resilience Skills: A Systematic Literature Review,” Al-Musyrif J. Bimbing. dan Konseling Islam, vol. 7, no. 1, pp. 39–54, 2024, doi: 10.38073/almusyrif.v7i1.1602. DOI: https://doi.org/10.38073/almusyrif.v7i1.1602
[3] K. A. Nusaibah, A. Ekayanti, J. Jumadi, and M. Murniati, “Unveiling Resilience in Mathematics Education: Exploring the Impact of Age and Gender in Sanggar Bimbingan Rawang, Selangor, Malaysia,” Tadris J. Kegur. dan Ilmu Tarb., vol. 9, no. 1, pp. 19–30, 2024, doi: 10.24042/tadris.v9i1.21586. DOI: https://doi.org/10.24042/tadris.v9i1.21586
[4] M. Fardan et al., “Learning Motivation Mediates Growth Mindset, Self-Efficacy, and AI Usefulness Impact on Programming Problem-Solving Skills,” Tadris J. Kegur. dan Ilmu Tarb., vol. 10, no. 1, pp. 27–37, 2025, doi: 10.24042/tadris.v10i1.23743. DOI: https://doi.org/10.24042/tadris.v10i1.23743
[5] Y. Ba, W. Ming, and H. Zhang, “Unlocking academic success: How growth mindset interventions enhance student performance through self-belief and effort regulation,” Acta Psychol. (Amst)., vol. 256, no. March, p. 104977, 2025, doi: 10.1016/j.actpsy.2025.104977. DOI: https://doi.org/10.1016/j.actpsy.2025.104977
[6] H. Hairida, M. Marmawi, and K. Kartono, “An Analysis of Students’ Collaboration Skills in Science Learning Through Inquiry and Project-Based Learning,” Tadris J. Kegur. dan Ilmu Tarb., vol. 6, no. 2, pp. 219–228, 2021, doi: 10.24042/tadris.v6i2.9320. DOI: https://doi.org/10.24042/tadris.v6i2.9320
[7] I. Fahriza, M. Supriatna, A. R. Suryahadikusumah, S. F. Rayaginansih, N. A. Nadhirah, and A. Nadya, “Technology Framework in Guidance And Counseling Services,” Indones. J. Educ. Couns., vol. 7, no. 1, pp. 23–31, 2023, doi: 10.30653/001.202371.247. DOI: https://doi.org/10.30653/001.202371.247
[8] A. Halqim and Rukiyati, “High-Tech Counselor in the Digital Era: Integrating Information Technology into Modern Guidance and Counseling Practices,” J. Sains Sosio Hum., vol. 8, no. 2, pp. 72–82, 2024, doi: 10.22437/jssh.v8i2.39231. DOI: https://doi.org/10.22437/jssh.v8i2.39231
[9] J. D. Creswell, J. W., & Creswell, Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). Sage, 2022.
[10] I. Halevi Hochwald, G. Green, Y. Sela, Z. Radomyslsky, R. Nissanholtz-Gannot, and O. Hochwald, “Converting qualitative data into quantitative values using a matched mixed-methods design: A new methodological approach,” J. Adv. Nurs., vol. 79, no. 11, pp. 4398–4410, 2023, doi: 10.1111/jan.15649. DOI: https://doi.org/10.1111/jan.15649
[11] F. Banha, A. Flores, and L. S. Coelho, “Quantitizing Qualitative Data from Semi-Structured Interviews: A Methodological Contribution in the Context of Public Policy Decision-Making,” Mathematics, vol. 10, no. 19, 2022, doi: 10.3390/math10193597. DOI: https://doi.org/10.3390/math10193597
[12] P. R. Wichaidit, S. Wichaidit, and P. Boonsin, “Growth mindset and achievement goal orientation in high-achieving students,” J. Turkish Sci. Educ., vol. 22, no. 3, pp. 527–541, 2025, doi: 10.36681/tused.2025.027. DOI: https://doi.org/10.36681/tused.2025.027
[13] M. Imhof, D. Worthington, J. Burger, and H. Bellhäuser, “Resilience and self-regulated learning as predictors of student competence gain in times of the COVID 19 pandemic – evidence from a binational sample,” Front. Educ., vol. 9, no. January, pp. 1–11, 2024, doi: 10.3389/feduc.2024.1293736. DOI: https://doi.org/10.3389/feduc.2024.1293736
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