Investigating Teachers’ Conceptualizations of Deep Learning in Science Education

Authors

  • Nurwanti Fatnah Universitas Muhammadiyah Cirebon, Indonesia
  • Zakiyyah Universitas Muhammadiyah Cirebon, Indonesia
  • Mutiara Dwi Cahyani Universitas Muhammadiyah Cirebon, Indonesia

DOI:

https://doi.org/10.21831/jser.v10i1.90040

Abstract

This study investigates junior high school science teachers’ conceptualizations of deep learning within the context of Indonesian educational reform. Using a qualitative descriptive approach, data were collected from 39 science teachers in Cirebon through open-ended questionnaires and analyzed thematically using Atlas.ti. The results reveal that teachers define deep learning as a holistic process that integrates cognitive, affective, and psychomotor dimensions, emphasizing student-centeredness, collaboration, and meaningful learning. Teachers further articulated key principles of deep learning, including contextualization, critical and creative reasoning, innovation, independence, joyful and mindful learning, ethical awareness, and the ability to connect science concepts to real-life situations. The implementation of deep learning was characterized by project-based learning, authentic tasks, collaborative practices, backward design, and supportive classroom environments. However, teachers reported challenges such as limited resources, unequal technological access, time constraints, and diverse student readiness, indicating the complexity of translating deep learning into practice. To address these issues, teachers highlighted the need for systematic supports including sustained professional training, mentoring, peer observation, and high-quality instructional modules. The study contributes theoretically by clarifying teacher perspectives on deep learning and practically by offering recommendations for professional development and policy directions to strengthen deep learning in Indonesian science education.

Downloads

Download data is not yet available.

References

Aisyah, S., & Novita, D. (2025). Teachers’ perception of the implementation of project-based learning in early childhood education in Indonesia. Cogent Education, 1-21. doi:10.1080/2331186X.2025.2458663

Al-Dawood, I. M. (2025). Levels of Islamic studies teachers' implementation of deep learning-oriented teaching practices in intermediate schools. Journal of Educational and Social Research, 15(6), 390. https://doi.org/10.36941/jesr-2025-0221

Alhebaishi, S., Stone, R., & Ameen, M. (2025). Emotional Engagement and Teaching Innovations for Deep Learning and Retention in Education: A Literature Review. (IJACSA) International Journal of Advanced Computer Science and Applications, 35-45. doi:http://dx.doi.org/10.14569/IJACSA.2025.0160304

Association, B. E. (2018). Ethical Guidelines for Educational Research. London: publications@bera.ac.uk.

Beege, M. S. (2023). Emotional design of pedagogical agents: the influence of enthusiasm and model-observer similarity. Education Tech Research Dev, 859–880. doi:https://doi.org/10.1007/s11423-023-10213-4

Bhagwat, R., & Kulkarni, A. (2025). Integrating project-based learning for enhancing higher education within an outcome-based education framework. International Journal of Evaluation and Research in Education, 14(5), 4099–4108.

https://doi.org/10.11591/ijere.v14i5.31957

Bhosale, Y. (2020). Building a Mini Electrical Substation through Project based Learning and Aanalysing Data using ANOVA. Journal of Engineering Education Transformations, 334–339. https://doi.org/10.16920/jeet/2020/v33i0/150182

Braun, V. &. (2019). To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales. Qualitative Research in Sport, Exercise and Health, 201–216. doi:https://doi.org/10.1080/2159676X.2019.1704846

Buder, J., Hesse, F.W. (2023). Designing Digital Technologies for Deeper Learning. In: Spector, J.M., Lockee, B.B., Childress, M.D. (eds) Learning, Design, and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-17461-7_47

Burner, T., & Schipor, D. (2025). Deep learning in the primary school English classroom in Norway. Nordic Journal of Comparative and International Education, 9(4). https://doi.org/10.7577/njcie.6176

Chamola, Vinay & Dave, Daksh & Goyal, Ishika & Sharma, Sangeeta. (2026). Generative Artificial Intelligence in STEM Education: A Review of Applications, Benefits and Challenges. Expert Systems. 43(2). doi:10.1111/exsy.70201.

Chunmeng Weng, C. C. (2022). A pedagogical study on promoting students' deep learning through design-based learning. Int J Technol Des Educ., 1-22. doi:10.1007/s10798-022-09789-4

Darling-Hammond, L. S. (2023). Educating teachers to enact the science of learning and development. Applied Developmental Science, 1-21. doi:https://doi.org/10.1080/10888691.2022.2130506

du Preez, I. &. (2025). Pedagogical and visual design principles for online learning material: insights from quality guiding documents in diverse educational contexts. Interactive Learning Environments, 1–17. doi:https://doi.org/10.1080/10494820.2025.2523390

Eswaran, U. (2024). Project-based learning: Fostering collaboration, creativity, and critical thinking. In Enhancing education with intelligent systems and data-driven instruction. 23–43. IGI Global.

https://doi.org/10.4018/979-8-3693-2169-0.ch002

Fatimatuz Zahroh, E. S. (2022). The The Effectiveness Of Project Based Learning Learning Model Based On Local Wisdom Plantae Material To Improve Students' Science Literacy Ability. Journal of Innovative Science Education, 132-136. doi:https://doi.org/10.15294/jise.v10i1.45187

Fry, K. N. (2025). Professional learning interventions for inquiry-based pedagogies in primary classrooms: A scoping review (2012–2022). Math Ed Res J, 1-35. doi:https://doi.org/10.1007/s13394-024-00516-x

Fullan, M., Quinn Joanne, & McEachen, J. (2018). Deep learning : engage the world change the world. California: Arnis Burvikovs

Garcia MB, N. L. (2023). "We're going on a virtual trip!": a switching-replications experiment of 360-degree videos as a physical field trip alternative in primary education. Int J Child Care Educ Policy. doi: 10.1186/s40723-023-00110-x

Giannakos, M. H. (2025). Learning, design and technology in the age of AI. Behaviour & Information Technology,, 883–887. doi:https://doi.org/10.1080/0144929X.2025.2469394

Harianti, H., Kadarohman, A., & Anwar, S. (2025). The Intersection of AI and Science Education in Indonesia: A Path Forward. Journal of Science Education Research, 1-10. doi:https://doi.org/10.21831/jser.v9i1.74872

Herrington, J. O. (2000). An instructional design framework for authentic learning environments. Educational Technology Research and Development, 23-48. doi: https://doi.org/10.1007/BF02319856

Huang, R. L. (2020). Handbook on Facilitating Flexible. Beijing: Smart Learning Institute of Beijing Normal University.

Jiang, X. (2008). An Empirical Study on the Correlation between Project-Based Learning and Deep Approach of Learning. 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing, 2, 22-25

Kassab, S. R. (2024). The impact of the educational environment on student engagement and academic performance in health professions education. BMC Medical Education, 1278. doi:https://doi.org/10.1186/s12909-024-06270-9

Khalil, E., & Gunduz, N. (2023). Teacher professional development and inquiry-based instruction:. International Journal of Innovative Research in Education, 177-191. doi:https://doi.org/10.18844/ijire.v10i2.9293

Korsager, M., Reitan, B., & Dahl, M. G. (2023). Competence Development in a Professional Learning Community: A Study of Teachers’ Conversations about Teaching for Deep Learning. Nordic Studies in Science Education (NorDiNa), 19(1), 4–19. https://doi.org/10.5617/NORDINA.8963

Kovač, V. B. (2023). The why, what and how of deep learning: critical analysis and additional concerns. Education Inquiry, 237–253. doi:https://doi.org/10.1080/20004508.2023.2194502

Krajcik, E. C. (2019). Promoting deep learning through project-based learning: a design problem. Disciplinary and Interdisciplinary Science Education Research, 1-10. doi:https://doi.org/10.1186/s43031-019-0009-6

Leijen, Ä. &. (2022). Supporting teacher agency during collaborativeinquiry-based in-service teacher education course. European Journal of Teacher Education, 769-786. doi:https://doi.org/10.1080/02619768.2022.2132385

Levin, O. (2024). Simulation as a pedagogical model for deep learning in teacher education. Teaching and Teacher Education : An International Journal of Research and Studies, 104967. doi:DOI:10.1016/j.tate.2024.104571

Linda Darling-Hammond, M. E. (2017). Effective Teacher Professional Development. Washington, DC 2: Learning Policy Institute.

Liu, Y., Ma, S., & Chen, Y. (2024). The impacts of learning motivation, emotional engagement and psychological capital on academic performance in a blended learning university course. Frontiers in Psychology, 1-12. doi:https://doi.org/10.3389/fpsyg.2024.1357936

Maryanto, A., Rosana, D., & Setyawarno, D. (2020). Increasing Teacher Professional Competence in Developing Procedural Abilities Using the Application of Assessment of Integrated Science Using Mobile Learning on Android Platform Gadgets. Journal of Science Education Research, 60-69. doi:https://doi.org/10.21831/jser.v4i2.35716

Morse, J. M. (2015). Data Were Saturated. Qualitative Health Research, 587-588. doi:https://doi.org/10.1177/1049732315576699

Mutanga, B. (2024). Students’ perspectives and experiences in project-based learning: A qualitative study. Trends in Higher Education, 3(4), 903–911. https://doi.org/10.3390/higheredu3040052

Newell, A. D. (2023). Twelve tips for using the Understanding by Design® curriculum planning framework. Medical Teacher, 34–39. doi:https://doi.org/10.1080/0142159X.2023.2224498

Nguyen, A. K. (2024). Enhancing Student Engagement Through Artificial Intelligence (AI): Understanding the Basics, Opportunities, and Challenges. Journal of University Teaching and Learning Practise, 1-13. doi:https://doi.org/10.53761/pzd17z29

Ntunka, M.G., Maladzhi, R.W., Mthombeni, N.H., & Nemavhola, F. (2024). Enhancing Project-Based Learning in Engineering Disciplines Through Emerging Technologies: A Systematic Literature Review. 2024 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC), 1-9

Pahrudin, A., Irwandani, I., Aridan, M., & Barata, M. F. (2025). Teacher readiness for deep learning in Islamic education: A Rasch model analysis of challenges and opportunities. Journal of Teaching and Learning, 19(4). https://doi.org/10.22329/jtl.v19i4.9573

Permatasari, S., Rokhmaniyah, R., & Hidayah, d. R. (2025). Persepsi Guru di Sekolah Dasar terhadap Pembelajaran Deep Learning. Social, Humanities, and Educational Studies (SHEs): Conference Series, 1951 – 1960.

Putri, D. K., Zahro, N., Widodo, W., & Suprapto, N. (2025). Primary teachers’ perceptions of deep learning pedagogy in culture-integrated STEM education: A quantitative survey. Journal on Mathematics Education, 16(4), 1331–1346. https://doi.org/10.22342/jme.v16i4.pp1331-1346

Ramaila, S. (2026). Harnessing project-based and experiential learning for competency-driven education. In Developing teaching competencies for pedagogical and curricular innovation. 99–144. IGI Global.

https://doi.org/10.4018/979-8-3373-3566-7.ch004

Sandelowski, M. (2000). Whatever happened to qualitative description? Research in Nursing & Health, 334-340. doi: https://doi.org/10.1002/1098-240X(200008)23:4<334::AID-NUR9>3.0.CO;2-G

Santana, O. A., Sousa, B. A. D., Monte, S. R. S. D., Lima, M. L. D. F., & Silva, C. F. E. (2020). Deep learning practice for high school student engagement in STEM careers. In Proceedings of the IEEE. Global Engineering Education Conference (EDUCON 2020). IEEE.

https://doi.org/10.1109/EDUCON45650.2020.9125281

Sary, A. L., Isnawati, I., & Asri, M. T. (2023). Validity of teaching modules based on local wisdom of macroscopic fungi and PjBL-oriented to improve scientific attitudes and science literacy. JPBI (Jurnal Pendidikan Biologi Indonesia), 256–270. doi:https://doi.org/10.22219/jpbi.v9i3.28884

Setyowati, Y., Rahayu, A., & Listiaji, P. (2025). Pre-service Teachers’ Perceptions of the New Pedagogical Deep Learning (NPDL). Journal of Environmental and Science Education, 73-81. doi:https://doi.org/10.15294/jese.v5i1.25274

Sivertsen Arnsby, E. A. (2023). Teachers’ professional learning through mentor education: a longitudinal mixed-methods study. Education Inquiry, 20. doi:https://doi.org/10.1080/20004508.2023.2273019

Sølvik, R., & Glenna, A. (2022). eachers’ potential to promote students’ deeper learning in whole-class teaching: An observation study in Norwegian classrooms. Journal of Educational Change, 343–369. doi:https://doi.org/10.1007/s10833-021-09420-8

Tian, X., Zhao, J., & Nguyen, K.T. (2022). Practical Research on Primary Mathematics Teaching Based on Deep Learning. Scientific Programming.

Vashishth, T. K., Sharma, M. V., Sharma, M. K., Sharma, K. K., & Sharma, R. (2025). The Role of Teachers in an AI-Enhanced Educational Landscape. In AI Adoption and Diffusion in Education (pp. 231-264). New York: IGI Global Scientific Publishing.

Voogt, J. &. (2012). A Comparative Analysis of International Frameworks for 21st Century Competences: Implications for National Curriculum Policies. Journal of Curriculum Studies, 299-321. doi:https://doi.org/10.1080/00220272.2012.668938

Weng, C., Chen, C., & Ai, X. (2023). A pedagogical study on promoting students’ deep learning. International Journal of Technology and Design Education, 1653–1674

doi:https://doi.org/10.1007/s10798-022-09789-4

Wojcikiewicz, M. W. (2024). Developing Deeper Learning Leaders. England: Harvard Education Press.

Yang, X. (2023). A Historical Review of Collaborative Learning and Cooperative Learning. Tech Trend, 718–728. doi:https://doi.org/10.1007/s11528-022-00823-9

Yang, Y., & Yu, D. (2019). Design of computer fundamental application course teaching to promote deep learning. In Proceedings of the 4th International Conference on Information and Education Innovations (ICIEI 2019), 78–81. Association for Computing Machinery. https://doi.org/10.1145/3345094.3345101

Yin, R. K. (2017). Case Study Research and Applications Design and Methods. California, USA: SAGE Publications, Inc.

Zaki, A. .. (2024). Integrating Local Wisdom with Project-Based Learning to Enhance 21st-Century Skills in the Society 5.0 Era. Journal of Ecohumanism, 1821–1831. doi:https://doi.org/10.62754/joe.v3i7.4341

Zhang, L., & Ma, Y. (2023). A study of the impact of of project-based learning on student learning effects: a meta-analysis study. Frontiers in Psychology, 1-13. doi:https://doi.org/10.3389/fpsyg.2023.1202728

Zhang, J., Wu, J., Sun, X., & Yang, Y. (2023). Technology-enabled project-based learning: Let every child embrace “good learning”. In Constructing regional smart education ecosystems in China. 93–99. Springer. https://doi.org/10.1007/978-981-99-6225-9_11

Downloads

Published

2026-03-09

How to Cite

Nurwanti Fatnah, Zakiyyah, & Mutiara Dwi Cahyani. (2026). Investigating Teachers’ Conceptualizations of Deep Learning in Science Education. Journal of Science Education Research, 10(1), 49–60. https://doi.org/10.21831/jser.v10i1.90040

Citation Check