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Abstract
The study explores the integration of deep learning approaches into high school Sociology education, addressing the need for transformative teaching methodologies in an era of increasing complexity in social dynamics. Sociology, with its focus on understanding societal structures and relationships, provides an ideal platform for employing deep learning strategies such as project-based learning, case studies, and reflective discussions. These methods encourage critical thinking, problem-solving, and the ability to connect theoretical knowledge with real-world issues, fostering both academic and personal growth. Utilizing a qualitative methodology and a literature review approach, the research synthesizes insights from recent studies within the last five years, emphasizing their relevance and credibility. Findings reveal that deep learning enhances students' analytical skills, empathy, and cultural awareness, bridging the gap between classroom theories and real-world applications. The study highlights the need for professional development for educators, supportive policies, and equitable learning environments to address implementation challenges. Future research should examine the long-term impact of deep learning on students' academic and career trajectories and explore technological advancements in facilitating this approach. By advocating for deep learning in Sociology, the study underscores its potential to nurture socially conscious individuals equipped to navigate and address contemporary societal complexities.
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References
- Bai, Z., Shangguan, W., Cai, B., & Chai, L. (2019). Deep reinforcement learning based high-level driving behavior decision-making model in heterogeneous traffic. Chinese Control Conference (CCC), 2019-July, 8600–8605. https://doi.org/10.23919/CHICC.2019.8866005
- Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Impli-cations for educational practice of the sci-ence of learning and development. Ap-plied Developmental Science, 24(2), 97–140. https://doi.org/10.1080/10888691.2018.1537791
- Djubu, H. (2024). The role of madrasah supervi-sors in the implementation of the inde-pendent learning curriculum. Jurnal Impre-si Indonesia, 2(12), 1181–1188. https://doi.org/10.58344/JII.V2I12.4485
- Erianjoni, E., Beri, D., & Yusra, A. (2023). Con-textual Sociology teaching materials for high school Sociology learning. In Pro-ceedings of the International Conference on Social Sciences and Humanities, 189–195. https://doi.org/10.2991/978-2-494069-35-0_23
- Fink, L. D. (2019). Creating significant learning experiences: An integrated approach to de-signing college courses. Jossey-Bass.
- Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2020). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111
- Hadi Pratiwi, P. (2020). Eco-pedagogy in senior high schools: A proposal for addressing ecological issues in teaching Sociology. Humaniora, 7(2), 127–137. https://doi.org/10.32698/HUM0207
- Han, H., Lee, K., & Soylu, F. (2020). Applying the deep learning method for simulating outcomes of educational interventions. SN Computer Science, 1(2). https://doi.org/10.1007/S42979-020-0075-Z
- Hattie, J. (2015). Visible learning: The sequel. Routledge.
- Kahu, E. R., & Nelson, K. (2018). Student en-gagement in the educational interface: Un-derstanding the mechanisms of student success. Higher Education Research & Development, 37(1), 58–71. https://doi.org/10.1080/07294360.2017.1344197
- Kolb, A. Y., & Kolb, D. A. (2018). Eight im-portant things to know about experiential learning theory. The Australian Education-al Researcher, 45(3), 507–517. https://doi.org/10.1007/s13384-018-0265-5
- Li, X., Dong, Y., Jiang, Y., & Ogunmola, G. A. (2022). Analysis of the teaching quality of college ideological and political education based on deep learning. Journal of Inter-connection Networks, 22. https://doi.org/10.1142/S0219265921430027
- Ritchhart, R., Church, M., & Morrison, K. (2017). Making thinking visible: How to promote engagement, understanding, and independence for all learners. Jossey-Bass.
- Wilson, D., & Conyers, M. (2016). BrainSMART: 60 strategies for increasing student learning. Teacher Created Materi-als.