Journal Evaluation in Education (JEE)
Journal Evaluation in Education (JEE)

an Open Access Journal

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Journal Evaluation in Education (JEE)

an Open Access Journal


Navigating Deep Learning Pedagogy in Rural Classrooms: A Qualitative Study on Teacher Readiness and Innovation in Indonesian Elementary Schools

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  • Purpose of the study: The integration of digital technology in primary education has become increasingly urgent in the era of 21st-century learning transformation. However, teachers’ readiness to implement deep learning approaches and instructional innovation remains a challenge, particularly in non-urban areas such as Sumenep Regency.

    Methodology: A qualitative descriptive approach was employed, involving six purposively selected teachers as primary data sources. Data were collected through classroom observations and structured interviews and then analyzed using the Miles and Huberman model, which includes data reduction, data display, and conclusion drawing.

    Main Findings: The findings reveal that teachers’ conceptual understanding of deep learning remains limited, and its classroom application has not reached a transformative level. Teacher readiness is influenced by insufficient training, inadequate infrastructure, weak institutional support, and varying levels of self-efficacy. Systemic barriers such as limited technological access and lack of supportive school policies hinder also implementation efforts.

    Novelty/Originality of this study: This study uniquely examines teacher readiness for deep learning-oriented instruction in an underrepresented context—rural elementary schools in Indonesia. Unlike previous research that predominantly focuses on urban or secondary education settings, this study captures the real-world constraints and opportunities for digital transformation in low-resource environments. It also broadens the conceptual framing of “deep learning” beyond technology, integrating pedagogical depth and reflective teaching practices. The implications highlight the urgency of designing context-based, practice-oriented teacher training programs and developing supportive policies that enable sustainable digital pedagogy.

  • How to cite

    [1]
    “Navigating Deep Learning Pedagogy in Rural Classrooms: A Qualitative Study on Teacher Readiness and Innovation in Indonesian Elementary Schools”, Jor. Eva. Edu, vol. 6, no. 3, pp. 725–736, Jul. 2025, doi: 10.37251/jee.v6i3.1775.
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    1. C. J. de Brabander and F. J. Glastra, “The unified model of task-specific motivation and teachers’ motivation to learn about teaching and learning supportive modes of ICT use,” Educ. Inf. Technol., vol. 26, no. 1, pp. 393–420, 2021, doi: 10.1007/s10639-020-10256-7. DOI: https://doi.org/10.1007/s10639-020-10256-7
    2. J. Jang, Y. Ko, W. S. Shin, and I. Han, “Augmented Reality and Virtual Reality for Learning: An Examination Using an Extended Technology Acceptance Model,” IEEE Access, vol. 9, pp. 6798–6809, 2021, doi: 10.1109/ACCESS.2020.3048708. DOI: https://doi.org/10.1109/ACCESS.2020.3048708
    3. I. Linde, E. Sarva, and L. Daniela, “The Impact of an Online Professional Development Course on Teachers’ Comprehension and Self-Efficacy in Developing Students’ Self-Regulated Learning Skills,” Sustain., vol. 15, no. 12, 2023, doi: 10.3390/su15129408. DOI: https://doi.org/10.3390/su15129408
    4. S. Gopinathan, A. H. Kaur, K. Ramasamy, and M. Raman, “Enhancing innovative delivery in schools using design thinking,” F1000Research, vol. 10, no. May, p. 927, 2021, doi: 10.12688/f1000research.72860.1. DOI: https://doi.org/10.12688/f1000research.72860.2
    5. G. M. Fix, M. Rikkerink, H. T. M. Ritzen, J. M. Pieters, and W. A. J. M. Kuiper, “Learning within sustainable educational innovation: An analysis of teachers’ perceptions and leadership practice,” J. Educ. Chang., vol. 22, no. 1, pp. 131–145, 2021, doi: 10.1007/s10833-020-09410-2. DOI: https://doi.org/10.1007/s10833-020-09410-2
    6. M. Al Breiki, A. Al Abri, A. M. Al Moosawi, and A. Alburaiki, “Investigating science teachers’ intention to adopt virtual reality through the integration of diffusion of innovation theory and theory of planned behaviour: the moderating role of perceived skills readiness,” Educ. Inf. Technol., vol. 28, no. 5, pp. 6165–6187, 2023, doi: 10.1007/s10639-022-11367-z. DOI: https://doi.org/10.1007/s10639-022-11367-z
    7. C. Büscher and S. Prediger, “Teachers’ practices of integrating challenging demands of inclusive mathematics education in a professional development program,” J. Math. Teach. Educ., vol. 27, no. 2, pp. 209–233, 2024, doi: 10.1007/s10857-022-09560-5. DOI: https://doi.org/10.1007/s10857-022-09560-5
    8. R. Maussumbayev, R. Toleubekova, K. Kaziyev, A. Baibaktina, and A. Bekbauova, “Development of research capacity of a future social pedagogue in the face of digital technologies,” Educ. Inf. Technol., vol. 27, no. 5, pp. 6947–6966, 2022, doi: 10.1007/s10639-022-10901-3. DOI: https://doi.org/10.1007/s10639-022-10901-3
    9. M. Boylan, G. Adams, E. Perry, and J. Booth, “Re-imagining transformative professional learning for critical teacher professionalism: a conceptual review,” Prof. Dev. Educ., vol. 49, no. 4, pp. 651–669, 2023, doi: 10.1080/19415257.2022.2162566. DOI: https://doi.org/10.1080/19415257.2022.2162566
    10. S. Sama, S. Bahri, and M. M. AR, “Realizing creative innovative education through increasing digitalization skills in learning with canva media in the era of smart society 5.0,” Mattawang J. Pengabdi. Masy., vol. 3, no. 1, pp. 70–81, 2022. DOI: https://doi.org/10.35877/454RI.mattawang864
    11. T. Lubicz-Nawrocka and C. Bovill, “Do students experience transformation through co-creating curriculum in higher education?,” Teach. High. Educ., vol. 28, no. 7, pp. 1744–1760, 2023, doi: 10.1080/13562517.2021.1928060. DOI: https://doi.org/10.1080/13562517.2021.1928060
    12. V. D. Melash, V. V. Molodychenko, V. V. Huz, A. B. Varenychenko, and S. S. Kirsanova, “Modernization of education programs and formation of digital competences of future primary school teachers,” Int. J. High. Educ., vol. 9, no. 7, pp. 377–386, 2020, doi: 10.5430/ijhe.v9n7p377. DOI: https://doi.org/10.5430/ijhe.v9n7p377
    13. I. Y. M. Dewi, F. Minggani, and M. Suhaidi, “Analisis strategi guru dalam meningkatkan motivasi belajar matematika jenjang sekolah dasar di Kabupaten Sumenep [Analysis of teacher strategies in increasing motivation to learn mathematics at elementary school level in Sumenep Regency],” J. Multidisiplin Ilmu Akad., vol. 1, no. 4, pp. 583–591, 2024.
    14. K. Smolkowski et al., “Evaluation of a social skills program for early elementary students: We have skills,” J. Res. Educ. Eff., vol. 15, no. 4, pp. 717–747, 2022, doi: 10.1080/19345747.2022.2037798. DOI: https://doi.org/10.1080/19345747.2022.2037798
    15. J. Alghamdi, F. Mostafa, and A. Abubshait, “Exploring technology readiness and practices of kindergarten student-teachers in Saudi Arabia: A mixed-methods study,” Educ. Inf. Technol., vol. 27, no. 6, pp. 7851–7868, 2022, doi: 10.1007/s10639-022-10920-0. DOI: https://doi.org/10.1007/s10639-022-10920-0
    16. S. J. Niu, H. Niemi, and B. Furman, “Supporting K-12 students to learn social-emotional and self-management skills for their sustainable growth with the solution-focused kids’skills method,” Sustain., vol. 14, no. 13, 2022, doi: 10.3390/su14137947. DOI: https://doi.org/10.3390/su14137947
    17. S. Chen et al., “An integrated model for predicting pupils’ acceptance of artificially intelligent robots as teachers,” Educ. Inf. Technol., vol. 28, no. 9, pp. 11631–11654, 2023, doi: 10.1007/s10639-023-11601-2. DOI: https://doi.org/10.1007/s10639-023-11601-2
    18. F. Hardiansyah and Z. Zainuddin, “The Influence of Principal’s Motivation, Communication, and Parental Participation on Elementary School Teachers’ Performance,” Al Ibtida J. Pendidik. Guru MI, vol. 9, no. 2, pp. 319–334, 2022, doi: 10.24235/al.ibtida.snj.v9i2.9936. DOI: https://doi.org/10.24235/al.ibtida.snj.v9i2.9936
    19. P. Pečiuliauskienė, L. Kaminskienė, and E. Lehtinen, “Science teachers’ collaborative innovative activities: the role of professional development and professional experience,” Humanit. Soc. Sci. Commun., vol. 10, no. 1, pp. 1–10, 2023, doi: 10.1057/s41599-023-01833-5. DOI: https://doi.org/10.1057/s41599-023-01833-5
    20. F. Hardiansyah and A. Wahdian, “Improving Science Learning Outcomes Through the Development of the Magic Card Box Learning Media,” AL-ISHLAH J. Pendidik., vol. 15, no. 1, pp. 823–833, 2023, doi: doi: 10.35445/alishlah.v15i1.2711. DOI: https://doi.org/10.35445/alishlah.v15i1.2711
    21. P. Nilsson and J. Lund, “Design for learning – involving teachers in digital didactic design (D3),” Interact. Technol. Smart Educ., vol. 20, no. 1, pp. 142–159, 2023, doi: 10.1108/ITSE-08-2021-0143. DOI: https://doi.org/10.1108/ITSE-08-2021-0143
    22. C. Green, L. Mynhier, J. Banfill, P. Edwards, J. Kim, and R. Desjardins, “Preparing education for the crises of tomorrow: A framework for adaptability,” Int. Rev. Educ., vol. 66, no. 5–6, pp. 857–879, 2020, doi: 10.1007/s11159-020-09878-3. DOI: https://doi.org/10.1007/s11159-020-09878-3
    23. L. Greifenstein, U. Heuer, and G. Fraser, “Exploring programming task creation of primary school teachers in training,” Annu. Conf. Innov. Technol. Comput. Sci. Educ. ITiCSE, vol. 1, no. 1, pp. 471–477, 2023, doi: 10.1145/3587102.3588809. DOI: https://doi.org/10.1145/3587102.3588809
    24. V. V. Rubtsov and I. M. Ulanovskaya, “Learning activity as an effective way to develop meta-subject and personal competencies in elementary school students,” Cult. Psychol., vol. 16, no. 2, pp. 51–60, 2020, doi: 10.17759/chp.2020160207. DOI: https://doi.org/10.17759/chp.2020160207
    25. K. McChesney and J. Cross, “How school culture affects teachers’ classroom implementation of learning from professional development,” Learn. Environ. Res., vol. 26, no. 3, pp. 785–801, 2023, doi: 10.1007/s10984-023-09454-0. DOI: https://doi.org/10.1007/s10984-023-09454-0
    26. E. V. Samsonova, R. E. Shkilev, and M. Y. Abbasova, “The necessity of forming the skills and habits of educational and research activity as a foundation of a gnostic criterion of the evaluation of the readiness of a future teacher for innovative activity,” Int. J. High. Educ., vol. 9, no. 8, pp. 112–118, 2020, doi: 10.5430/ijhe.v9n8p112. DOI: https://doi.org/10.5430/ijhe.v9n8p112
    27. R. M. Sølvik and A. E. H. Glenna, “Teachers’ potential to promote students’ deeper learning in whole-class teaching: An observation study in Norwegian classrooms,” J. Educ. Chang., vol. 23, no. 3, pp. 343–369, 2022, doi: 10.1007/s10833-021-09420-8. DOI: https://doi.org/10.1007/s10833-021-09420-8
    28. D. T. K. Ng, J. K. L. Leung, J. Su, R. C. W. Ng, and S. K. W. Chu, “Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world,” Educ. Technol. Res. Dev., vol. 71, no. 1, pp. 137–161, 2023, doi: 10.1007/s11423-023-10203-6. DOI: https://doi.org/10.1007/s11423-023-10203-6
    29. K. Sperling, L. Stenliden, J. Nissen, and F. Heintz, “Still w(AI)ting for the automation of teaching: An exploration of machine learning in Swedish primary education using Actor-Network Theory,” Eur. J. Educ., vol. 57, no. 4, pp. 584–600, 2022, doi: 10.1111/ejed.12526. DOI: https://doi.org/10.1111/ejed.12526
    30. M. A. Ayanwale, I. T. Sanusi, O. P. Adelana, K. D. Aruleba, and S. S. Oyelere, “Teachers’ readiness and intention to teach artificial intelligence in schools,” Comput. Educ. Artif. Intell., vol. 3, no. June, p. 100099, 2022, doi: 10.1016/j.caeai.2022.100099. DOI: https://doi.org/10.1016/j.caeai.2022.100099
    31. L. Zhao, X. Wu, and H. Luo, “Developing AI literacy for primary and middle school teachers in China: Based on a structural equation modeling analysis,” Sustain., vol. 14, no. 21, pp. 1–16, 2022, doi: 10.3390/su142114549. DOI: https://doi.org/10.3390/su142114549
    32. L. Araujo, F. Lopez-Ostenero, J. Martinez-Romo, and L. Plaza, “Deep-Learning approach to educational text mining and application to the analysis of topics’ difficulty,” IEEE Access, vol. 8, pp. 218002–218014, 2020, doi: 10.1109/ACCESS.2020.3042099. DOI: https://doi.org/10.1109/ACCESS.2020.3042099
    33. J. A. Salmerón Aroca, P. Moreno Abellán, and S. Martínez de Miguel López, “Teachers’ professional development and intelligent ways of coping with it: A systematic review in elementary and middle school education,” J. Intell., vol. 11, no. 1, 2023, doi: 10.3390/jintelligence11010001. DOI: https://doi.org/10.3390/jintelligence11010001
    34. K. Murphy, K. Giordano, and T. Deloach, “Pre-K and kindergarten teacher perception of school readiness during the COVID-19 pandemic,” Early Child. Educ. J., vol. 52, no. 3, pp. 551–561, 2024, doi: 10.1007/s10643-023-01462-2. DOI: https://doi.org/10.1007/s10643-023-01462-2
    35. F. Wijnen, J. Walma van der Molen, and J. Voogt, “Primary teachers’ attitudes towards using new technology and stimulating higher-order thinking in students: A profile analysis,” Educ. Inf. Technol., vol. 28, no. 6, pp. 6347–6372, 2023, doi: 10.1007/s10639-022-11413-w. DOI: https://doi.org/10.1007/s10639-022-11413-w
    36. I. Celik, M. Dindar, H. Muukkonen, and S. Järvelä, “The promises and challenges of artificial intelligence for teachers: A systematic review of research,” TechTrends, vol. 66, no. 4, pp. 616–630, 2022, doi: 10.1007/s11528-022-00715-y. DOI: https://doi.org/10.1007/s11528-022-00715-y
    37. L. R. Stringer, K. M. Lee, S. Sturm, and N. Giacaman, “A systematic review of primary school teachers’ experiences with digital technologies curricula,” Educ. Inf. Technol., vol. 27, no. 9, pp. 12585–12607, 2022, doi: 10.1007/s10639-022-11127-z. DOI: https://doi.org/10.1007/s10639-022-11127-z
    38. W. S. Sayed et al., “AI-based adaptive personalized content presentation and exercises navigation for an effective and engaging E-learning platform,” Multimed. Tools Appl., vol. 82, no. 3, pp. 3303–3333, 2023, doi: 10.1007/s11042-022-13076-8. DOI: https://doi.org/10.1007/s11042-022-13076-8
    39. R. S. Kamahina, T. V. Yakovenko, and E. V. Daibova, “Teacher’s readiness to work under the conditions of educational space digitalization,” Int. J. High. Educ., vol. 8, no. 7, pp. 79–83, 2019, doi: 10.5430/ijhe.v8n7p79. DOI: https://doi.org/10.5430/ijhe.v8n7p79
    40. R. Ökördi and G. Molnár, “Computer-Based intervention closes learning gap in maths accumulated in remote learning,” J. Intell., vol. 10, no. 3, 2022, doi: 10.3390/jintelligence10030058. DOI: https://doi.org/10.3390/jintelligence10030058
    41. S. G. Essa, T. Celik, and N. E. Human-Hendricks, “Personalized adaptive learning technologies based on machine learning techniques to identify learning styles: A systematic literature review,” IEEE Access, vol. 11, no. April, pp. 48392–48409, 2023, doi: 10.1109/ACCESS.2023.3276439. DOI: https://doi.org/10.1109/ACCESS.2023.3276439
    42. T. M. Galanti and N. Holincheck, “Beyond content and curriculum in elementary classrooms: conceptualizing the cultivation of integrated STEM teacher identity,” Int. J. STEM Educ., vol. 9, no. 1, 2022, doi: 10.1186/s40594-022-00358-8. DOI: https://doi.org/10.1186/s40594-022-00358-8
    43. O. Olugbemi-Gabriel and M. Ukpi, “The signifying culture: An intercultural and qualitative analysis of Tiv and Yoruba folktales for moral instruction and character determination in children,” F1000Research, vol. 11, pp. 1–19, 2022, doi: 10.12688/f1000research.75732.1. DOI: https://doi.org/10.12688/f1000research.75732.1
    44. A. Peterson, “Character education, the individual and the political,” J. Moral Educ., vol. 49, no. 2, pp. 143–157, 2020, doi: 10.1080/03057240.2019.1653270. DOI: https://doi.org/10.1080/03057240.2019.1653270
    45. A. N. Mansor, N. H. Zabarani, K. A. Jamaludin, M. Y. M. Nor, B. S. Alias, and A. Z. Mansor, “Home-based learning (Hbl) teacher readiness scale: Instrument development and demographic analysis,” Sustain., vol. 13, no. 4, pp. 1–15, 2021, doi: 10.3390/su13042228. DOI: https://doi.org/10.3390/su13042228
    46. C. S. Abacioglu, S. Epskamp, A. H. Fischer, and M. Volman, “Effects of multicultural education on student engagement in low- and high-concentration classrooms: The mediating role of student relationships,” Learn. Environ. Res., vol. 26, no. 3, pp. 951–975, 2023, doi: 10.1007/s10984-023-09462-0. DOI: https://doi.org/10.1007/s10984-023-09462-0
    47. N. H. Ghalia and S. Y. Karra, “Teacher readiness and learner competency in using modern technological learning spaces,” Sustain., vol. 15, no. 6, 2023, doi: 10.3390/su15064928. DOI: https://doi.org/10.3390/su15064928
    48. J. Li, P. W. K. Chan, and Y. Hu, “The effects of principals’ instructional leadership on primary school students’ academic achievement in China: Evidence from serial multiple mediating analysis,” Sustain., vol. 15, no. 3, 2023, doi: 10.3390/su15032844. DOI: https://doi.org/10.3390/su15032844
    49. X. Zhu, D. T. L. Shek, and L. Yu, “Parental and school influences on character attributes among Chinese adolescents,” Front. Pediatr., vol. 10, no. February, 2022, doi: 10.3389/fped.2022.817471. DOI: https://doi.org/10.3389/fped.2022.817471
    50. H. Oh, T. Falbo, and K. Lee, “Culture moderates the relationship between family obligation values and the outcomes of Korean and European American college students,” J. Cross. Cult. Psychol., vol. 51, no. 6, pp. 511–525, 2020, doi: 10.1177/0022022120933682. DOI: https://doi.org/10.1177/0022022120933682