Understanding Learning Concepts in Grade 10 Students During Classroom Practices: Case Study BBC Senior High School in Medan
DOI:
https://doi.org/10.70211/sakaguru.v3i1.649Keywords:
Descriptive Qualitative Research, Interviews, Learning Concepts, Mini Research Study, Student UnderstandingAbstract
Students’ conceptions of learning influence how they interpret academic demands, regulate motivation, select learning strategies, and evaluate educational success; however, limited qualitative evidence explains how these dimensions are interconnected among Indonesian senior high school students. This study aimed to explore Grade 10 students’ understanding of learning, identify the internal and external factors influencing their learning, examine the strategies they employed, and determine the indicators through which they evaluated learning success. A descriptive qualitative case-study design was employed at SMA BBC Medan, involving six purposively selected Grade 10 students representing different genders and levels of academic achievement. Data were collected through individual semi-structured interviews guided by eight open-ended questions and analyzed using the interactive model of data condensation, data display, and conclusion drawing. Member checking and cross-participant comparison were conducted to strengthen the credibility of the findings. The results revealed that students predominantly conceptualized learning as the acquisition of knowledge and experience, while affective, behavioral, and psychomotor dimensions were less frequently recognized. Motivation and personal willingness emerged as the most influential internal factors, whereas family support, conducive learning environments, and engaging teaching practices constituted important external influences. Students relied mainly on conventional strategies, including reading, note-taking, discussion, repeated practice, scheduling, and reviewing materials, but rarely reported metacognitive practices such as goal setting, self-monitoring, reflection, or strategy evaluation. Learning success was primarily associated with improved grades, although some students also identified conceptual understanding, problem-solving ability, confidence, motivation, and behavioral change. The study concludes that students possess a foundational but transitional understanding of learning that remains strongly cognitive, instrumental, and achievement-oriented. These findings imply that teachers and school counselors should collaboratively develop learning guidance that broadens students’ conceptions of learning, strengthens autonomous motivation, and explicitly cultivates metacognitive and self-regulated learning skills.
References
[1] M. Schneider and B. A. Simonsmeier, “How does prior knowledge affect learning? A review of 16 mechanisms and a framework for future research,” Learn. Individ. Differ., vol. 122, Art. no. 102744, Aug. 2025. https://doi.org/10.1016/j.lindif.2025.102744
[2] E. B. Belay, “Assessing students conceptions of learning in physics: A cross-sectional survey study,” Discov. Educ., vol. 4, no. 1, Art. no. 510, Nov. 2025. https://doi.org/10.1007/s44217-025-00951-3
[3] Institute of Medicine and National Research Council of the National Academies, Child Development and Early Learning. Washington, DC, USA: National Academies Press, 2015.
[4] R. Lomholt and A. Qvortrup, “Categorising student behaviours as manifest indicators of learning engagement: A contextual approach,” Eur. J. Psychol. Educ., vol. 40, no. 4, Art. no. 121, Dec. 2025. https://doi.org/10.1007/s10212-025-01034-5
[5] D. Morrison-Love and F. Patrick, “Supporting student teachers to integrate theory, research, and practice: Developing the Adaptive Subject Pedagogy Model,” Res. Sci. Technol. Educ., vol. 42, no. 3, pp. 595–617, Jul. 2024. https://doi.org/10.1080/02635143.2022.2116422
[6] L. Wijnia, G. Noordzij, L. R. Arends, R. M. J. P. Rikers, and S. M. M. Loyens, “The effects of problem-based, project-based, and case-based learning on students’ motivation: A meta-analysis,” Educ. Psychol. Rev., vol. 36, no. 1, Art. no. 29, Mar. 2024. https://doi.org/10.1007/s10648-024-09864-3
[7] I. Jivet, M. Scheffel, M. Schmitz, S. Robbers, M. Specht, and H. Drachsler, “From students with love: An empirical study on learner goals, self-regulated learning and sense-making of learning analytics in higher education,” Internet High. Educ., vol. 47, Art. no. 100758, Oct. 2020. https://doi.org/10.1016/j.iheduc.2020.100758
[8] M. Mejeh and T. Held, “Understanding the development of self-regulated learning: An intervention study to promote self-regulated learning in vocational schools,” Vocat. Learn., vol. 15, no. 3, pp. 531–568, Oct. 2022. https://doi.org/10.1007/s12186-022-09298-4
[9] A. Alam and A. Mohanty, “Framework of Self-Regulated Cognitive Engagement (FSRCE) for sustainable pedagogy: A model that integrates SRL and cognitive engagement for holistic development of students,” Cogent Educ., vol. 11, no. 1, 2024. https://doi.org/10.1080/2331186X.2024.2363157
[10] Y. Karlen and S. Hertel, “Inspiring self-regulated learning in everyday classrooms: Teachers’ professional competences and promotion of self-regulated learning,” Unterrichtswissenschaft, vol. 52, no. 1, pp. 1–13, Mar. 2024. https://doi.org/10.1007/s42010-024-00196-3
[11] L.-D. Fredy, B. Oscar, and V.-S. Ana, “Pedagogical mediation with ICT for the development of critical thinking in primary education: A systematic review,” Think. Ski. Creat., vol. 60, Art. no. 102085, Jun. 2026. https://doi.org/10.1016/j.tsc.2025.102085
[12] L. Darling-Hammond, L. Flook, C. Cook-Harvey, B. Barron, and D. Osher, “Implications for educational practice of the science of learning and development,” Appl. Dev. Sci., vol. 24, no. 2, pp. 97–140, Apr. 2020. https://doi.org/10.1080/10888691.2018.1537791
[13] Q. Liu, X. Du, and H. Lu, “Teacher support and learning engagement of EFL learners: The mediating role of self-efficacy and achievement goal orientation,” Curr. Psychol., vol. 42, no. 4, pp. 2619–2635, Feb. 2023. https://doi.org/10.1007/s12144-022-04043-5
[14] Q. Xia, S. Xuan, T. Zhang, and B. Zong, “How autonomy support sustains emotional engagement in college physical education: A longitudinal study,” Behav. Sci., vol. 15, no. 6, Art. no. 822, Jun. 2025. https://doi.org/10.3390/bs15060822
[15] M. Kamberi, “The types of intrinsic motivation as predictors of academic achievement: The mediating role of deep learning strategy,” Cogent Educ., vol. 12, no. 1, 2025. https://doi.org/10.1080/2331186X.2025.2482482
[16] Y. Yulianti, Z. Zubaidah, B. Amalianita, and F. Sarman, “The role of guidance and counseling in students’ learning problems at school,” Int. J. Educ. Manag. Technol., vol. 2, no. 3, pp. 372–386, Nov. 2024. https://doi.org/10.58578/ijemt.v2i3.4173
[17] N. H. Haskins, “Facilitation skills and classroom management,” in School Counseling Classroom Guidance: Prevention, Accountability, and Outcomes. Thousand Oaks, CA, USA: SAGE Publications, 2016, pp. 180–220. https://doi.org/10.4135/9781071801123.n8
[18] A. Deroncele-Acosta and A. Ellis, “Overcoming challenges and promoting positive education in inclusive schools: A multi-country study,” Educ. Sci., vol. 14, no. 11, Art. no. 1169, Oct. 2024. https://doi.org/10.3390/educsci14111169
[19] M. B. Schaefer, S. E. Pennington, K. Divoll, and J. H. Tang, “A systematic review of literature on student voice and agency in middle grade contexts,” Educ. Sci., vol. 14, no. 11, Art. no. 1158, Oct. 2024. https://doi.org/10.3390/educsci14111158
[20] J. Conner, D. L. Mitra, S. E. Holquist, and A. Boat, “How teachers’ student voice practices affect student engagement and achievement: Exploring choice, receptivity, and responsiveness to student voice as moderators,” J. Educ. Chang., vol. 26, no. 1, pp. 89–118, Mar. 2025. https://doi.org/10.1007/s10833-024-09513-0
[21] L. H. Smith, D. Aguayo, T. Pandey, W. M. Reinke, K. C. Herman, and K. J. Debnam, “How can teachers improve? Using culturally responsive frameworks to examine adolescent perspectives,” J. Adolesc. Res., vol. 40, no. 5, pp. 1229–1259, Sep. 2025. https://doi.org/10.1177/07435584241230960
[22] J. W. Creswell and J. D. Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 5th ed. Thousand Oaks, CA, USA: SAGE Publications, 2018.
[23] W. M. Lim, “What is qualitative research? An overview and guidelines,” Australas. Mark. J., vol. 33, no. 2, pp. 199–229, May 2025. https://doi.org/10.1177/14413582241264619
[24] B. A. Abdalla et al., “Qualitative research and data analysis across methodological traditions: A narrative review,” J. Med. Surgery, Public Heal., vol. 9, Art. no. 100240, Aug. 2026. https://doi.org/10.1016/j.glmedi.2026.100240
[25] S. Campbell, M. Greenwood, and K. Walker, “Purposive sampling: Complex or simple? Research case examples,” J. Res. Nurs., vol. 25, no. 8, 2020. https://doi.org/10.1177/1744987120927206
[26] M. Stevani, G. L. Sinabutar, R. B. Pratama, H. Widoyo, and A. A. Saragi, “Linguistic racism in Indonesian classroom context: How Standard English marginalizes diverse voices,” Wiralodra English J., vol. 9, no. 2, pp. 136–151, Sep. 2025. https://doi.org/10.31943/wej.v9i2.460
[27] J. Agee, “Developing qualitative research questions: A reflective process,” Int. J. Qual. Stud. Educ., vol. 22, no. 4, pp. 431–447, Jul. 2009. https://doi.org/10.1080/09518390902736512
[28] M. DeJonckheere and L. M. Vaughn, “Semistructured interviewing in primary care research: A balance of relationship and rigour,” Fam. Med. Community Heal., vol. 7, no. 2, Art. no. e000057, Mar. 2019. https://doi.org/10.1136/fmch-2018-000057
[29] Z. Xu, Y. Wang, and Y. Qian, “The design and application of in-depth interviews in primary care research,” Chinese Gen. Pract. J., vol. 2, no. 2, Art. no. 100062, Jun. 2025. https://doi.org/10.1016/j.cgpj.2025.100062
[30] 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, Art. no. 3597, Oct. 2022. https://doi.org/10.3390/math10193597
[31] M. B. Miles, A. M. Huberman, and J. Saldaña, Qualitative Data Analysis: A Methods Sourcebook, 4th ed. Thousand Oaks, CA, USA: SAGE Publications, 2020.
[32] S. K. Ahmed, “The pillars of trustworthiness in qualitative research,” J. Med. Surgery, Public Heal., vol. 2, Art. no. 100051, Apr. 2024. https://doi.org/10.1016/j.glmedi.2024.100051
[33] A. J. Bingham, “From data management to actionable findings: A five-phase process of qualitative data analysis,” Int. J. Qual. Methods, vol. 22, 2023. https://doi.org/10.1177/16094069231183620
[34] H. Noble and J. Smith, “Ensuring validity and reliability in qualitative research,” Evid. Based Nurs., vol. 28, no. 4, pp. 206–208, Oct. 2025. https://doi.org/10.1136/ebnurs-2024-104232
[35] L. Hadar, “Ideal versus school learning: Analyzing Israeli secondary school students’ conceptions of learning,” Int. J. Educ. Res., vol. 48, no. 1, pp. 1–11, Jan. 2009. https://doi.org/10.1016/j.ijer.2009.01.002
[36] E. R. Peterson, G. T. L. Brown, and S. E. Irving, “Secondary school students’ conceptions of learning and their relationship to achievement,” Learn. Individ. Differ., vol. 20, no. 3, pp. 167–176, Jun. 2010. https://doi.org/10.1016/j.lindif.2009.12.004
[37] J. A. C. Hattie and G. M. Donoghue, “Learning strategies: A synthesis and conceptual model,” npj Sci. Learn., vol. 1, no. 1, Art. no. 16013, Aug. 2016. https://doi.org/10.1038/npjscilearn.2016.13
[38] R. M. Ryan and E. L. Deci, “Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions,” Contemp. Educ. Psychol., vol. 61, Art. no. 101860, 2020. https://doi.org/10.1016/j.cedpsych.2020.101860
[39] J. S. Eccles and A. Wigfield, “From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation,” Contemp. Educ. Psychol., vol. 61, Art. no. 101859, Apr. 2020. https://doi.org/10.1016/j.cedpsych.2020.101859
[40] J. A. Fredricks, P. C. Blumenfeld, and A. H. Paris, “School engagement: Potential of the concept, state of the evidence,” Rev. Educ. Res., vol. 74, no. 1, pp. 59–109, Mar. 2004. https://doi.org/10.3102/00346543074001059
[41] E. Panadero, “A review of self-regulated learning: Six models and four directions for research,” Front. Psychol., vol. 8, Art. no. 422, Apr. 2017. https://doi.org/10.3389/fpsyg.2017.00422
[42] C. Dignath and M. V. J. Veenman, “The role of direct strategy instruction and indirect activation of self-regulated learning—Evidence from classroom observation studies,” Educ. Psychol. Rev., vol. 33, no. 2, pp. 489–533, Jun. 2021. https://doi.org/10.1007/s10648-020-09534-0
[43] S. C. Whiston, W. L. Tai, D. Rahardja, and K. Eder, “School counseling outcome: A meta-analytic examination of interventions,” J. Couns. Dev., vol. 89, no. 1, pp. 37–55, Jan. 2011. https://doi.org/10.1002/j.1556-6678.2011.tb00059.x
[44] E. Villares, M. Frain, G. Brigman, L. Webb, and P. Peluso, “The impact of Student Success Skills on standardized test scores,” Couns. Outcome Res. Eval., vol. 3, no. 1, pp. 3–16, Jun. 2012. https://doi.org/10.1177/2150137811434041
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