Strengthening the competence of junior high school social studies teachers in Klaten Regency in the implementation of deep learning
DOI:
https://doi.org/10.26905/abdimas.v11i1.15801Keywords:
Deep learning , Junior high school , Social studies learning, Subject teacherAbstract
Education plays a central role in shaping individual character and skills, especially amid the increasingly complex challenges of globalization. Meanwhile, in the context of Social Studies learning at the Junior High School level, the current approach still prioritizes memorization and data mastery without being balanced by the development of critical and analytical thinking skills. The deep learning approach has emerged as a solution to improve the quality of IPS education. This approach encourages students to understand concepts in depth and contextualize them with real-life situations. Teachers play a key role in the successful implementation of deep learning in IPS education, so they must understand what deep learning is and how to apply it. This community service program was organized to enhance the understanding and practical skills of Social Studies teachers at the Junior High School level in Klaten Regency. The method used in this program is a participatory and collaborative approach involving the Social Studies Teacher Forum (MGMP) through workshops and hands-on training. The results of this activity show an increase in teachers' understanding of the deep learning concept and their ability to design IPS learning at the SMP level using a deep learning approach.
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Anam, A. M., & Rukiyati, R. (2024). Peran keluarga dalam pendidikan: Kontekstualisasi pemikiran Pestalozzi dan Imam Al-Ghazali. Humanika: Kajian Ilmiah Mata Kuliah Umum, 24(2), 181-192. https://doi.org/10.21831/hum.v24i2.75840.181-192
Aris, S., Ambarita, A., & Rochmiyati, R. (2022). The development of a project-based student worksheet to foster fourth graders’ creativity in integrated theme learning. International Journal of Educational Studies in Social Sciences (IJESSS), 2(1), 42-46. https://doi.org/10.53402/ijesss.v2i1.45
Carpendale, E. J., Green, M. J., Williams, K. E., Tzoumakis, S., Carr, V. J., & Laurens, K. R. (2023). Item response theory analysis of self-reported social–emotional learning competencies in an Australian population cohort aged 11 years. School Psychology, 38(4), 247-263. https://doi.org/10.1037/spq0000533
Chelladurai, K., & Sujatha, N. (2023). A survey on different algorithms used in deep learning process. E3S Web of Conferences, 387, 05008. https://doi.org/10.1051/e3sconf/202338705008
Chowdhury, A., Kabir, K. H., Asafo-Agyei, E. K., & Abdulai, A.-R. (2024). Participatory and community-based approach in combating agri-food misinformation: A Scoping Review. Advancements in Agricultural Development, 5(2), 81-104. https://doi.org/10.37433/aad.v5i2.349
Ge, D., Wang, X., & Liu, J. (2021). A teaching quality evaluation model for preschool teachers based on deep learning. International Journal of Emerging Technologies in Learning (iJET), 16(03), 127-143. https://doi.org/10.3991/ijet.v16i03.20471
Greer, R., & Curty, R. (2022). Investigating teaching practices in quantitative and computational social sciences: A case study. IASSIST Quarterly, 46(3), 1-15. https://doi.org/10.29173/iq1039
Howson, C. K., & Matos, F. (2021). Student surveys: Measuring the relationship between satisfaction and engagement. Education Sciences, 11(6), 297. https://doi.org/10.3390/educsci11060297
Idayanti, Z., Suleman, Muh. A., & Suhardi, M. (2024). LKPD-based learning to improve science learning outcomes of grade IV SD/MI students. ACTION : Jurnal Inovasi Penelitian Tindakan Kelas dan Sekolah, 4(2), 38-44. https://doi.org/10.51878/action.v4i2.3835
Janiesch, C., Zschech, P., & Heinrich, K. (2021). Machine learning and deep learning. Electronic Markets, 31(3), 685-695. https://doi.org/10.1007/s12525-021-00475-2
Kharisma, A. I., MZ, A. S. A., Handoyo, E., & Widiyanti, W. (2023). The “7 Wonders of the World-APP” augmented reality-based media to improve elementary school students’ conceptual understanding. Jurnal Ilmiah Sekolah Dasar, 7(1), 18-26. https://doi.org/10.23887/jisd.v7i1.54642
Ko, W. W., & Liu, G. (2021). The transformation from traditional nonprofit organizations to social enterprises: An institutional entrepreneurship perspective. Journal of Business Ethics, 171(1), 15-32. https://doi.org/10.1007/s10551-020-04446-z
Korshunov, I. A., Lubnikov, S. V., & Shirkova, N. N. (2023). Adult education and training for the development of problem-solving skills. The Education and science journal, 25(6), 166-192. https://doi.org/10.17853/1994-5639-2023-6-166-192
Masuku, M. M., Jili, N. N., & Sabela, P. T. (2020). Assessment as a pedagogy and measuring tool in promoting deep learning in institutions of higher learning. International Journal of Higher Education, 10(2), 274-283. https://doi.org/10.5430/ijhe.v10n2p274
Mishra, N. R. (2023). Constructivist approach to learning: An analysis of pedagogical models of Social Constructivist Learning Theory. Journal of Research and Development, 6(01), 22-29. https://doi.org/10.3126/jrdn.v6i01.55227
Munir, H., Vogel, B., & Jacobsson, A. (2022). Artificial intelligence and machine learning approaches in digital education: A systematic revision. Information, 13(4), 203. https://doi.org/10.3390/info13040203
Mustofa, M. A. (2020). Analisis penggunaan WhatsApp sebagai media pembelajaran Bahasa Arab di Era Industri 4.0. Arabiyatuna : Jurnal Bahasa Arab, 4(2), 333-346. https://doi.org/10.29240/jba.v4i2.1805
Niu, J., & Liu, Y. (2022). The construction of English Smart Classroom Teaching mode based on deep learning. Computational Intelligence and Neuroscience, 2022(1), 9037010. https://doi.org/10.1155/2022/9037010
Paniego, S., Sharma, V., & Cañas, J. M. (2022). Open source assessment of deep learning visual object detection. Sensors, 22(12), 4575. https://doi.org/10.3390/s22124575
Prasetyo, I., Suryono, Y., & Gupta, S. (2021). The 21st century life skills-based education implementation at the non-formal education institution. Journal of Nonformal Education, 7(1), 1-7. https://doi.org/10.15294/jne.v7i1.26385
Prayogo, M. A., & Hapsari, M. I. (2021). Niat konsumen muslim berlangganan layanan video on demand bertayangan Islami. Jurnal Ekonomi Syariah Teori Dan Terapan, 8(5), 607-616. https://doi.org/10.20473/vol8iss20215pp607-616
Priyatni, E. T., & Martutik. (2020). The development of a critical–creative reading assessment based on problem solving. SAGE Open, 10(2), 2158244020923350. https://doi.org/10.1177/2158244020923350
Putri, R., Ardhiansyah, S. S., Kurnia, H., Sari, M. I., & Putri, M. F. J. L. (2022). Penerapan deep learning dalam pendidikan di Indonesia. In Prosiding Seminar Nasional Pendidikan Pancasila dan Kewarganegaraan Universitas Pamulang, 2(2022), 30-42.
Raj, T., Chauhan, P., Mehrotra, R., & Sharma, M. (2022). Importance of critical thinking in the education. World Journal of English Language, 12(3), 126-133. https://doi.org/10.5430/wjel.v12n3p126
Raup, A., Ridwan, W., Khoeriyah, Y., Supiana, S., & Zaqiah, Q. Y. (2022). Deep learning dan penerapannya dalam pembelajaran. JIIP - Jurnal Ilmiah Ilmu Pendidikan, 5(9), 3258-3267. https://doi.org/10.54371/jiip.v5i9.805
Rukmana, R., Susantini, E., & Bashri, A. (2020). The effectiveness of student worksheet (Project-Based Learning) based on the values of Islamic Boarding School for the biotechnology subject to train high school students with bioentrepreneuship skills. Jurnal Inovasi Pembelajaran Biologi, 1(1), 35-43. https://doi.org/10.26740/jipb.v1n1.p35-43
Shinde, R., & Kalpana, C. (2023). Advancements in deep learning: A comprehensive review. REST Journal on Data Analytics and Artificial Intelligence, 2(2), 65-69. https://doi.org/10.46632/jdaai/2/2/7
Sollom, M. (2021). A quasi-experimental study on social emotional learning and primary prevention. Journal of Educational and Developmental Psychology, 11(2), 1-16. https://doi.org/10.5539/jedp.v11n2p1
Sørlie, M.-A., Hagen, K. A., & Nordahl, K. B. (2021). Development of social skills during middle childhood: Growth trajectories and school-related predictors. International Journal of School & Educational Psychology, 9(sup1), S69-S87. https://doi.org/10.1080/21683603.2020.1744492
Strahan, D. B., & Poteat, B. (2020). Middle level students’ perceptions of their social and emotional learning: An exploratory study. RMLE Online, 43(5), 1-15. https://doi.org/10.1080/19404476.2020.1747139
Suarningtyas, S. (2022). Development of student e-worksheet based on PBL (Problem Based Learning) to practice metacognitive abilities of high school student on reaction rate material. International Journal of Current Science Research and Review, 05(05), 1680-1687. https://doi.org/10.47191/ijcsrr/V5-i5-35
Sumarna, C., & Gunawan, H. (2022). Foundations of constructivism philosophy in classroom learning. International Journal of Science and Society, 4(3), 53-65. https://doi.org/10.54783/ijsoc.v4i3.499
Sun, J. (2023). A Project-Based Learning (PBL) event in a Chinese rural school: How can PBL help teachers and students accomplish deep learning? Research and Advances in Education, 2(4), 59-68. https://doi.org/10.56397/RAE.2023.04.06
Tang, H. (2024). Construction of vocational undergraduate education teacher team based on deep learning. Journal of Computational Methods in Sciences and Engineering, 24(1), 201-216. https://doi.org/10.3233/JCM-237041
Tian, B., Tian, F., & Xu, M. (2022). Research on innovation of college classroom instructional strategy from the perspective of deep learning. Advances in Education, Humanities and Social Science Research, 2(1), 535. https://doi.org/10.56028/aehssr.2.1.535
Warno, S., Rahmah, S., Ngadimin, N., & Halim, A. (2020). Development of student worksheets based on a scientific approach using the group investigation model. Asian Journal of Science Education, 2(2), 128-142. https://doi.org/10.24815/ajse.v2i2.18393
Wathon, A. (2024). Kesesuaian Kurikulum Merdeka dengan kurikulum deep learning. ARZUSIN, 4(6), 1280-1300. https://doi.org/10.58578/arzusin.v4i6.4442
Weng, C., Chen, C., & Ai, X. (2023). A pedagogical study on promoting students’ deep learning through design-based learning. International Journal of Technology and Design Education, 33(4), 1653-1674. https://doi.org/10.1007/s10798-022-09789-4
Weston, L. E., Krein, S., & Harrod, M. (2022). Using observation to better understand the healthcare context. Qualitative Research in Medicine and Healthcare, 5(3), 9821. https://doi.org/10.4081/qrmh.2021.9821
Widodo, S. F. A., Dardiri, A., Marzuki, Anam, A. M., Rubiyanto, Y., & Djainudin, H. (2024). Penguatan karakter pemuda di Desa Pacarejo, Kecamatan Semanu, Kabupaten Gunung Kidul melalui pelatihan baca Al-Qur’an. Jurnal Pengabdian dan Pemberdayaan Banyuwangi, 2(1), 23-35. https://doi.org/10.57203/abdiwangi.v2i1.2024.23-35
Zhang, X., & Cao, Z. (2021). A framework of an intelligent education system for higher education based on deep learning. International Journal of Emerging Technologies in Learning (iJET), 16(07), 233-248. https://doi.org/10.3991/ijet.v16i07.22123
Zhao, G., Fan, M., Yuan, Y., Zhao, F., & Huang, H. (2021). The comparison of teaching efficiency between virtual reality and traditional education in medical education: A systematic review and meta-analysis. Annals of Translational Medicine, 9(3), 252-252. https://doi.org/10.21037/atm-20-2785
ZNuroh, E. (2020). Realism in education perspective: Epistemological and ontological conception; axiology of realism; realism in education. Education and Human Development Journal, 5(1), 43-52. https://doi.org/10.33086/ehdj.v5i1.1430
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