Teacher Training Management for Deep Learning Readiness in Elementary Schools
DOI:
https://doi.org/10.47709/educendikia.v6i02.8446Keywords:
teacher training management, teacher readiness, deep learning, Terry’s management functions, elementary schoolAbstract
This study analyzes teacher training management in improving teacher readiness to implement deep learning at SDN Kapuk 13 Petang and SDN Jembatan Besi 01 Pagi, West Jakarta. The study was motivated by the increasing demand for teachers to adopt deep learning approaches that foster critical thinking, meaningful understanding, collaboration, and problem-solving skills among students. A qualitative case study design was employed to gain an in-depth understanding of how teacher training was planned, implemented, and evaluated in the two schools. Data were collected through interviews, observations, and documentation involving school principals and classroom teachers as the primary participants. The data were analyzed using Terry’s management functions—planning, organizing, actuating, and controlling—supported by the interactive analysis model of Miles, Huberman, and Saldaña. The findings indicate that both schools had implemented teacher training management, although the effectiveness of each management function varied. Planning included coordination, scheduling, and preparation of training materials but lacked a systematic needs assessment. Organizing involved task distribution and coordination, with differences in teacher participation and external institutional support. Training implementation combined lectures, discussions, teaching practice, reflection, and module preparation; however, practical mentoring and classroom-based coaching remained limited. Controlling was conducted through reflection, documentation, and participant feedback, although systematic classroom supervision and follow-up evaluation had not yet been fully established. The study concludes that teacher readiness to implement deep learning can be strengthened through needs-based, practice-oriented, collaborative, and continuously evaluated teacher training management.
References
Adrias, & Ruswandi, A. (2025). Desain Penelitian Kuantitatif, Kualitatif, dan Mix Method. Depok: Rajawali Pers.
Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (Fifth Edit). Thousand Oaks: SAGE Publications Inc.
Duterte, J. P. (2024). Technology-enhanced learning environments: Improving engagement and learning. International Journal of Research and Innovation in Social Science, 8(10), 1131–1305.
Erstad, O., & Voogt, J. (2018). The Twenty-First Century Curriculum: Issues and Challenges. In J. Voogt, G. Knezek, R. Christensen, & K.-W. Lai (Eds.), Second Handbook of Information Technology in Primary and Secondary Education (pp. 19–36). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-71054-9_1
Glynn, S. M., & Winter, L. K. (2004). Contextual Teaching and Learning of science in elementary schools. Journal of Elementary Science Education, 16(2), 51–63. https://doi.org/10.1007/BF03173645
Goodfellow, I., Bengio, Y., Courville, A., & Bengio, Y. (2016). Deep learning (Vol. 1). MIT press Cambridge.
Häkkinen, P., Järvelä, S., Mäkitalo-Siegl, K., Ahonen, A., Näykki, P., & Valtonen, T. (2017). Preparing teacher-students for twenty-first-century learning practices (PREP 21): a framework for enhancing collaborative problem-solving and strategic learning skills. Teachers and Teaching, 23(1), 25–41. https://doi.org/10.1080/13540602.2016.1203772
Isnaeni, F., Budiman, S. A., Nurjaya, N., & Mukhlisin, M. (2025). Analysis of the Readiness for Implementing Deep Learning Curriculum in Madrasah from the Perspective of Educators. Attadrib: Jurnal Pendidikan Guru Madrasah Ibtidaiyah, 8(1), 15–30.
Kurniawan, R. G. (2025). Pembelajaran Diferensiasi Berbasis Deep Learning: Strategi Mindful, Meaningful, dan Joyful Learning. Penerbit Lutfi Gilang.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444.
Lincoln, Y., & Guba, B. (1985). Naturalistic inquiry. Beverly Hills: Sage Pulications. Inc.
Miles, M. B., Huberman, A. M., & Saldana, J. (2014). Qualitative Data Analysis A Methods Sourcebook (Third Edit). United States of America: SAGE Publications, Inc.
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1609406917733847.
Patton, M. Q. (2014). Qualitative research & evaluation methods: Integrating theory and practice. Sage publications.
Sari, F. A., Hasanah, E., & Hidayati, D. (2025). Teachers’ Readiness in Implementing Deep Learning: Managerial Studies in Islamic Education. Nidhomul Haq: Jurnal Manajemen Pendidikan Islam, 10(3), 749–765.
Shenton, A. K. (2004). Strategies for ensuring trustworthiness in qualitative research projects. Education for Information, 22(2), 63–75.
Subiyantoro, S., Musa, M. Z., & Efendi, A. (2024). Preparing Indonesian primary school teachers for deep learning: Readiness, challenges, and institutional support. Cognitive Development Journal, 2(2), 77–86.
Surya, P. (2011). Educational management, handbook for school of education student. Yogyakarta State University.
Terry, G. R. (1958). Principles Of Management. New York: Alexander Hamilton Institute.
Tisdell, E. J., Merriam, S. B., & Stuckey-Peyrot, H. L. (2025). Qualitative research: A guide to design and implementation. John Wiley & Sons.
Yin, R. K. (2017). Case study research and applications. SAGE Publications US.
Yin, R. K. (2018). Case study research and applications: Design and methods. In Journal of Hospitality & Tourism Research (Vol. 53). https://doi.org/10.1177/109634809702100108
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Destia Dewi Permata, Dinny Mardiana

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.









