Integrating Deep Learning and Value-Based Character Education to Strengthen Teacher Competence at SMP Negeri 20 Malang
DOI:
https://doi.org/10.36312/linov.v11i1.4563Keywords:
Teacher workshop, Deep learning, Character educationAbstract
Strengthening teacher competence is a strategic effort to improve the quality of learning at the junior high school level. Current educational challenges require teachers not only to master subject content and teaching methods but also to design and implement deep learning approaches integrated with value-based character education. This community service program aimed to enhance the conceptual understanding and pedagogical skills of teachers at SMP Negeri 20 Malang in integrating deep learning with character value reinforcement in the learning process. The program was implemented through workshops, mentoring, limited classroom implementation, and continuous evaluation. A total of 30 teachers from various subject areas participated in the activity. The results indicate a significant improvement in teachers’ understanding of deep learning, reflected in a shift from content-oriented instruction toward meaningful and reflective learning. In addition, teachers demonstrated improved competence in designing learning tools that integrate cognitive and affective dimensions as well as character values, supported by the use of authentic assessment. This program contributes to the development of contextual, sustainable, and character-oriented learning practices that support students’ holistic development.
Downloads
References
Chiu, F. (2012). Fit between future thinking and future orientation on creative imagination. Thinking Skills and Creativity, 7(3), 234–244. https://doi.org/10.1016/j.tsc.2012.05.002
Czerkawski, B. C. (2013). Designing deeper learning experiences for online instruction. International Review of Research in Open and Distributed Learning. https://www.nbcc.org/assets/COVID/DesigningDeeperLearningExperiencesforOnlineInstruction.pdf
Everett, L. (2024). Deep learning in teacher professional development using Goethean phenomenology. Teaching and Teacher Education, 120, 103–207.
Gao, Y. (2025). Deep learning-based strategies for evaluating and enhancing teaching quality in universities. Education and Information Technologies.
Hermanto, H., Japar, M., Riyadi, R., Sumantri, M. S., & Putra, H. R. (2024). Analysis of character education values: School-based character in Indonesia. Educational Administration: Theory and Practice, 30(1), 334–347. https://doi.org/10.14507/eatp.XXXXXX
Nyaaba, M. (2024). Transforming teacher education in developing countries: The role of generative AI in bridging theory and practice. arXiv. https://arxiv.org/abs/2411.10718
Romero, M. (2017). Computational thinking development through creative programming in higher education. International Journal of Educational Technology in Higher Education, 14(1). https://doi.org/10.1186/s41239-017-0080-z
Ruchliyadi, D. A., & Adawiah, R. (2023). Strengthening of student character through values-based learning of Prince Antasari’s struggle character. ENDLESS: International Journal of Future Studies, 6(1), 11–24.
Sarkadi, N., et al. (2022). Integrating character education into the RECE learning model (Reflective, Engage, Collaborative, Elaborative). Frontiers in Education, 7.
Sin, T. H. (2022). Character education’s impact on learning outcomes in physical education. Jurnal Konseling Indonesia, 10(2), 1–10. https://doi.org/10.1234/jki.v10n2.698
Tan, X. (2024). Artificial intelligence in teaching and teacher professional development: A systematic review (2015–2024). Teaching and Teacher Education, 112.
Weng, C. (2022). Pedagogical study on promoting students’ deep learning through design-based learning (DBL) in engineering education. 17(12). https://doi.org/10.1371/journal.pone.0278151
Winarni, S., Kamid, Marzal, J., & Asrial. (2025). Numeracy skill development in prospective mathematics teachers: Challenges and opportunities in real-world contexts. Journal on Mathematics Education, 16(1), 91–110. https://doi.org/10.22342/jme.v16i1.pp91-110.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Erna Yayuk, Daroe Iswatiningsih

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat is licensed under a Creative Commons Attribution 4.0 International License.

