TINJAUAN LITERATUR MENGENAI EVALUASI PEMBELAJARAN BERBASIS DATA DAN IMPLIKASINYA UNTUK PEMBELAJARAN SOSIOLOGI
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Abstract
Penelitian ini membahas evaluasi pembelajaran berbasis data dan implikasinya untuk pembelajaran Sosiologi melalui tinjauan literatur. Tujuan dari penelitian ini adalah untuk mengeksplorasi bagaimana evaluasi berbasis data dapat meningkatkan kualitas pembelajaran serta tantangan yang dihadapi dalam pengimplementasiannya. Studi literatur dilakukan dengan mengumpulkan dan menganalisis berbagai sumber terkait implementasi evaluasi berbasis data dalam pendidikan, untuk memahami tantangan dan potensi yang ada. Evaluasi berbasis data menawarkan pendekatan yang lebih objektif dalam mengukur kebutuhan dan perkembangan siswa, memungkinkan pendidik untuk menyesuaikan metode pengajaran dengan gaya belajar serta kecepatan masing-masing individu. Namun, implementasi yang efektif memerlukan dukungan berupa pelatihan pendidik, pengelolaan data yang tepat, dan keseimbangan antara data kuantitatif dan kualitatif. Penelitian ini menegaskan urgensi pentingnya evaluasi berbasis data sebagai fondasi pembelajaran, khususnya dalam pembelajaran Sosiologi yang lebih adaptif dan relevan dengan kebutuhan siswa di era digital, yang dapat menciptakan pengalaman belajar yang lebih personal dan mendalam.
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[1]
T. Febrianita, D. Budimansyah, and S. Komariah, “TINJAUAN LITERATUR MENGENAI EVALUASI PEMBELAJARAN BERBASIS DATA DAN IMPLIKASINYA UNTUK PEMBELAJARAN SOSIOLOGI”, JURNAL EDUCATION AND DEVELOPMENT, vol. 13, no. 1, pp. 564-570, May 2025.
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References
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Aburizaizah, S. J. (2021). Data-Informed Educational Decision Making to Improve Teaching and Learning Outcomes of EFL. Journal of Education and Learning, 10(5), 17. https://doi.org/10.5539/jel.v10n5p17
Amiruddin, A., & Chardo, C. (2023a). Data-Based Planning Transformation in Monitoring and Evaluation of School Programs: Towards Improving the Quality of Education. Indonesian Journal Education, 2(2), 34–38. https://doi.org/10.56495/ije.v2i2.527
Amiruddin, A., & Chardo, C. (2023b). Data-Based Planning Transformation in Monitoring and Evaluation of School Programs: Towards Improving the Quality of Education. Indonesian Journal Education, 2(2), 34–38. https://doi.org/10.56495/ije.v2i2.527
Boughouas, M. L., Kissoum, Y., Mouhssen, A., Karek, M. A., & Mazouzi, S. (2022). Towards a Big Educational Data Analytics. 2022 International Conference on Advanced Aspects of Software Engineering (ICAASE), 1–6. https://doi.org/10.1109/ICAASE56196.2022.9931565
Brown, G. T. (2004). Teachers' conceptions of assessment: Implications for policy and professional development. Assessment in Education: Principles, Policy & Practice, 11(3), 301-318.
Campbell, C., & Levin, B. (2009). Using data to support educational improvement. Educational Assessment, Evaluation and Accountability, 21(1), 47–65. https://doi.org/10.1007/s11092-008-9063-x
Chen, M., & Geng, N. (2019). Research on Effective Teaching based on Students’ Assessment Data Analysis. 2019 Eighth International Conference on Educational Innovation through Technology (EITT), 206–209. https://doi.org/10.1109/EITT.2019.00047
Humphries, J., Carroll, K., & Varkey, J. (2023). The Importance of Data in Teaching and Learning. In Work-Integrated Learning Case Studies in Teacher Education (pp. 147–155). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-6532-6_12
Kochmar, E., Vu, D. Do, Belfer, R., Gupta, V., Serban, I. V., & Pineau, J. (2022). Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education, 32(2), 323–349. https://doi.org/10.1007/s40593-021-00267-x
L, I. (2019). EVALUASI DALAM PROSES PEMBELAJARAN. Adaara: Jurnal Manajemen Pendidikan Islam, 9(2), 920–935. https://doi.org/10.35673/ajmpi.v9i2.427
Liu, R. (2022). Data Analysis of Educational Evaluation Using K-Means Clustering Method. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/3762431
Liu, Z., Yan, H., Chen, C., & Su, Q. (2021). Evaluation of Learning Effect Based on Online Data (pp. 141–154). https://doi.org/10.1007/978-3-030-88189-4_11
Marques Queiroga, E., Sarmanho Siqueira, E., Dos Santos Portela, C., Damasceno Cordeiro, T., Ibert Bittencourt, I., Isotani, S., Ferreira Mello, R., Muñoz, R., & Cechinel, C. (2024). Data-Driven Strategies for Achieving School Equity: Insights From Brazil and Policy Recommendations. IEEE Access, 12, 101646–101659. https://doi.org/10.1109/ACCESS.2024.3422822
Nortvedt, G. A., & Buchholtz, N. (2018). Assessment in mathematics education: responding to issues regarding methodology, policy, and equity. ZDM, 50(4), 555–570. https://doi.org/10.1007/s11858-018-0963-z
Rehak, P. A., & McKinney, L. (2015). Utilizing Course Evaluation Data to Improve Student Learning and Success in Developmental Math Courses. Community College Journal of Research and Practice, 39(2), 199–203. https://doi.org/10.1080/10668926.2014.953273
Schanzer, E., Pfenning, N., Denny, F., Dooman, S., Politz, J. G., Lerner, B. S., Fisler, K., & Krishnamurthi, S. (2022). Integrated Data Science for Secondary Schools. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education, 22–28. https://doi.org/10.1145/3478431.3499311
Shiri, M., & Baigutov, K. (2024). THE ROLE OF TEACHER TRAINING IN FACILITATING THE ADOPTION OF DIGITAL TECHNOLOGIES IN ART EDUCATION. National Center for Higher Education Development, 3(47). https://doi.org/10.59787/2413-5488-2024-47-3-38-50
Temel-Aslan, S., Ertaş-Kılıç, H., Unlu, M., & Keray-Dinçel, B. (2024). What do the Data Say? A Case Study with Pre-Service Teachers. Science Insights Education Frontiers, 21(2), 3435–3460. https://doi.org/10.15354/sief.24.or567
Volkov, A., Otbetkina, T., & Vidmanova, A. (2023). Improving the Effectiveness of Data-Driven Learning Management. International Journal of Social Science and Human Research, 6(10). https://doi.org/10.47191/ijsshr/v6-i10-73
Wang, K. (2023). Academic Early Warning Model for Students Based on Big Data Analysis. International Journal of Emerging Technologies in Learning (IJET), 18(12), 16–31. https://doi.org/10.3991/ijet.v18i12.41087
Wilder, E. I. (2010). A Qualitative Assessment of Efforts to Integrate Data Analysis throughout the Sociology Curriculum: Feedback from Students, Faculty, and Alumni. Teaching Sociology, 38(3), 226–246. https://doi.org/10.1177/0092055X10370118
Wu, Y. (2023). Research on the Construction of Accurate Evaluation System of Classroom Teaching Supported by Big Data Technology. 2023 International Conference on Computer Applications Technology (CCAT), 229–233. https://doi.org/10.1109/CCAT59108.2023.00049
Zakaria, Z., Ab. Wahid, N. T., & Abdul Latif, A. (2023). Data Literacy Competencies for Informed Classroom Assessment Practice: Challenges and Measures. International Journal of Academic Research in Progressive Education and Development, 12(3). https://doi.org/10.6007/IJARPED/v12-i3/19320