Study of the Theory and Practice of Educational Supervision in Islamic Education in Indonesia
Downloads
This study examines the extent to which the concepts, theories, and practices of educational supervision can be developed in a pluralistic society, particularly in the context of Indonesian education. Educational supervision in this context refers to instructional supervision, which is more focused on supporting and facilitating teachers to enhance the quality of instruction in achieving specific goals according to the concept of educational supervision. In Indonesia, the theory and practice of educational supervision face various challenges, given that general education is also conducted by religious-based educational institutions, particularly Islam, which oversees numerous Islamic schools, madrasahs, and pesantren. This study employs a qualitative method with a library research approach that critiques the implementation of the concepts, theories, and practices of educational science, particularly related to instructional or teaching supervision. The findings indicate that educational supervision in Islamic educational institutions has not yet been effective and efficient, as there remains a gap between the ideal and the reality in the field. Educational theories and the legal aspects of education enshrined in education laws have not been fully implemented properly. The study concludes that the education system must first emphasize the implementation of educational processes such as improving and equalizing the quality of teachers, enhancing learning facilities, libraries, and laboratories. A paradigm shift is necessary, changing the focus from solely academic (hard skills) to also include soft skills and non-academic aspects. The teaching and learning process should be designed to be more engaging, focusing on the improvement of the affective (attitudes) and psychomotor (skills) domains, rather than being limited to the cognitive (knowledge) domain alone.
Akour, A., Al-Tammemi, A. B., Barakat, M., Kanj, R., Fakhouri, H. N., Malkawi, A., & Musleh, G. (2020). The Impact of the COVID-19 Pandemic and Emergency Distance Teaching on the Psychological Status of University Teachers: A Cross-Sectional Study in Jordan. The American Journal of Tropical Medicine and Hygiene, 103(6), 2391–2399. https://doi.org/10.4269/ajtmh.20-0877
Al-Balas, M., Al-Balas, H. I., Jaber, H. M., Obeidat, K., Al-Balas, H., Aborajooh, E. A., Al-Taher, R., & Al-Balas, B. (2020). Distance learning in clinical medical education amid COVID-19 pandemic in Jordan: Current situation, challenges, and perspectives. BMC Medical Education, 20(1), 341. https://doi.org/10.1186/s12909-020-02257-4
Ardoin, N. M., Bowers, A. W., & Gaillard, E. (2020). Environmental education outcomes for conservation: A systematic review. Biological Conservation, 241, 108224. https://doi.org/10.1016/j.biocon.2019.108224
Atkin, P. A., Simms, M. L., Reeve?Brook, L. J., & Ezzeldin, M. (2023). Paediatric dentistry trainee views on training relating to the medically compromised child and oral medicine elements of specialty training curricula. European Journal of Dental Education, 27(3), 594–600. https://doi.org/10.1111/eje.12845
Awais, M., Raja, M. A. Z., Awan, S. E., Shoaib, M., & Ali, H. M. (2021). Heat and mass transfer phenomenon for the dynamics of Casson fluid through porous medium over shrinking wall subject to Lorentz force and heat source/sink. Alexandria Engineering Journal, 60(1), 1355–1363. https://doi.org/10.1016/j.aej.2020.10.056
Brenner, M., Weiss-Breckwoldt, A. N., Condrau, F., & Breckwoldt, J. (2023). Does the ‘Educational Alliance’ conceptualize the student - supervisor relationship when conducting a master thesis in medicine? An interview study. BMC Medical Education, 23(1), 611. https://doi.org/10.1186/s12909-023-04593-7
Chen, L., Deng, C., Chen, X., Zhang, X., Chen, B., Yu, H., Qin, Y., Xiao, K., Zhang, H., & Sun, X. (2020). Ocular manifestations and clinical characteristics of 535 cases of COVID?19 in Wuhan, China: A cross?sectional study. Acta Ophthalmologica, 98(8). https://doi.org/10.1111/aos.14472
Chen, X., Zou, D., Cheng, G., & Xie, H. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of Computers & Education. Computers & Education, 151, 103855. https://doi.org/10.1016/j.compedu.2020.103855
Cong, J., Chen, C.-H., Meng, X., Xiang, Z., & Dong, L. (2023). Conceptual design of a user-centric smart product-service system using self-organizing map. Advanced Engineering Informatics, 55, 101857. https://doi.org/10.1016/j.aei.2022.101857
Cummings, J., Lee, G., Zhong, K., Fonseca, J., & Taghva, K. (2021). Alzheimer’s disease drug development pipeline: 2021. Alzheimer’s & Dementia: Translational Research & Clinical Interventions, 7(1), e12179. https://doi.org/10.1002/trc2.12179
Gallmeyer, T. G., Moorthy, S., Kappes, B. B., Mills, M. J., Amin-Ahmadi, B., & Stebner, A. P. (2020). Knowledge of process-structure-property relationships to engineer better heat treatments for laser powder bed fusion additive manufactured Inconel 718. Additive Manufacturing, 31, 100977. https://doi.org/10.1016/j.addma.2019.100977
Hanckel, B., Petticrew, M., Thomas, J., & Green, J. (2021). The use of Qualitative Comparative Analysis (QCA) to address causality in complex systems: A systematic review of research on public health interventions. BMC Public Health, 21(1), 877. https://doi.org/10.1186/s12889-021-10926-2
Hasan, R., Palaniappan, S., Mahmood, S., Abbas, A., Sarker, K. U., & Sattar, M. U. (2020). Predicting Student Performance in Higher Educational Institutions Using Video Learning Analytics and Data Mining Techniques. Applied Sciences, 10(11), 3894. https://doi.org/10.3390/app10113894
Haug, B. S., & Mork, S. M. (2021). Taking 21st century skills from vision to classroom: What teachers highlight as supportive professional development in the light of new demands from educational reforms. Teaching and Teacher Education, 100, 103286. https://doi.org/10.1016/j.tate.2021.103286
Henry, C., Ekeroma, A., & Filoche, S. (2020). Barriers to seeking consultation for abnormal uterine bleeding: Systematic review of qualitative research. BMC Women’s Health, 20(1), 123. https://doi.org/10.1186/s12905-020-00986-8
Hogan, A., Blomqvist, E., Cochez, M., D’amato, C., Melo, G. D., Gutierrez, C., Kirrane, S., Gayo, J. E. L., Navigli, R., Neumaier, S., Ngomo, A.-C. N., Polleres, A., Rashid, S. M., Rula, A., Schmelzeisen, L., Sequeda, J., Staab, S., & Zimmermann, A. (2022). Knowledge Graphs. ACM Computing Surveys, 54(4), 1–37. https://doi.org/10.1145/3447772
Homaeinezhad, M. R., & Shahhosseini, A. (2020). Fractional order actuation systems: Theoretical foundation and application in feedback control of mechanical systems. Applied Mathematical Modelling, 87, 625–639. https://doi.org/10.1016/j.apm.2020.06.030
Joram, E., Gabriele, A. J., & Walton, K. (2020). What influences teachers’ “buy-in” of research? Teachers’ beliefs about the applicability of educational research to their practice. Teaching and Teacher Education, 88, 102980. https://doi.org/10.1016/j.tate.2019.102980
Kim, T., Mullins, L. B., & Yoon, T. (2021). Supervision of Telework: A Key to Organizational Performance. The American Review of Public Administration, 51(4), 263–277. https://doi.org/10.1177/0275074021992058
Lau, V. P., & Shaffer, M. A. (2023). A Typological Theory of Domestic Employees’ Acculturation Stress and Adaptation in the Context of Globalization. Academy of Management Review, 48(1), 57–77. https://doi.org/10.5465/amr.2019.0408
Leccese, F., Salvadori, G., Rocca, M., Buratti, C., & Belloni, E. (2020). A method to assess lighting quality in educational rooms using analytic hierarchy process. Building and Environment, 168, 106501. https://doi.org/10.1016/j.buildenv.2019.106501
Mageira, K., Pittou, D., Papasalouros, A., Kotis, K., Zangogianni, P., & Daradoumis, A. (2022). Educational AI Chatbots for Content and Language Integrated Learning. Applied Sciences, 12(7), 3239. https://doi.org/10.3390/app12073239
Mahoney, J. L., Weissberg, R. P., Greenberg, M. T., Dusenbury, L., Jagers, R. J., Niemi, K., Schlinger, M., Schlund, J., Shriver, T. P., VanAusdal, K., & Yoder, N. (2021). Systemic social and emotional learning: Promoting educational success for all preschool to high school students. American Psychologist, 76(7), 1128–1142. https://doi.org/10.1037/amp0000701
Martinez-Miller, E. E., Robinson, W. R., Avery, C. L., Yang, Y. C., Haan, M. N., Prather, A. A., & Aiello, A. E. (2020). Longitudinal Associations of US Acculturation With Cognitive Performance, Cognitive Impairment, and Dementia. American Journal of Epidemiology, 189(11), 1292–1305. https://doi.org/10.1093/aje/kwaa088
Oliveira, G., Grenha Teixeira, J., Torres, A., & Morais, C. (2021). An exploratory study on the emergency remote education experience of higher education students and teachers during the COVID?19 pandemic. British Journal of Educational Technology, 52(4), 1357–1376. https://doi.org/10.1111/bjet.13112
Paleyes, A., Urma, R.-G., & Lawrence, N. D. (2023). Challenges in Deploying Machine Learning: A Survey of Case Studies. ACM Computing Surveys, 55(6), 1–29. https://doi.org/10.1145/3533378
Peng, B., Li, C., Li, J., Shayandeh, S., Liden, L., & Gao, J. (2021). S OLOIST: BuildingTask Bots at Scale with Transfer Learning and Machine Teaching. Transactions of the Association for Computational Linguistics, 9, 807–824. https://doi.org/10.1162/tacl_a_00399
Pruzhinin, B. I., Shchedrina, T. G., & Institute of Philosophy, Russian Academy of Sciences. (2021). Cultural-Historical Epistemology and Perspectives of the Philosophy of Science. Epistemology & Philosophy of Science, 58(2), 19–26. https://doi.org/10.5840/eps202158223
Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778. https://doi.org/10.1016/j.compedu.2019.103778
Romero, C., & Ventura, S. (2020). Educational data mining and learning analytics: An updated survey. WIREs Data Mining and Knowledge Discovery, 10(3), e1355. https://doi.org/10.1002/widm.1355
Rosenbaum, J. (2020). Educational and Criminal Justice Outcomes 12 Years After School Suspension. Youth & Society, 52(4), 515–547. https://doi.org/10.1177/0044118X17752208
Rossi, A., Barbosa, D., Firmani, D., Matinata, A., & Merialdo, P. (2021). Knowledge Graph Embedding for Link Prediction: A Comparative Analysis. ACM Transactions on Knowledge Discovery from Data, 15(2), 1–49. https://doi.org/10.1145/3424672
Sahin, D., & Yilmaz, R. M. (2020). The effect of Augmented Reality Technology on middle school students’ achievements and attitudes towards science education. Computers & Education, 144, 103710. https://doi.org/10.1016/j.compedu.2019.103710
?ahin, S. (2024). Scabies: A Growing Concern for Public Health. The Anatolian Journal of Family Medicine, 9–12. https://doi.org/10.5505/ajfamed.2024.10820
Siu, J. C., Fu, N., & Lin, S. (2020). Catalyzing Electrosynthesis: A Homogeneous Electrocatalytic Approach to Reaction Discovery. Accounts of Chemical Research, 53(3), 547–560. https://doi.org/10.1021/acs.accounts.9b00529
Song, P., & Wang, X. (2020). A bibliometric analysis of worldwide educational artificial intelligence research development in recent twenty years. Asia Pacific Education Review, 21(3), 473–486. https://doi.org/10.1007/s12564-020-09640-2
Tang, Y. M., Chen, P. C., Law, K. M. Y., Wu, C. H., Lau, Y., Guan, J., He, D., & Ho, G. T. S. (2021). Comparative analysis of Student’s live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector. Computers & Education, 168, 104211. https://doi.org/10.1016/j.compedu.2021.104211
Ten Cate, O., Schwartz, A., & Chen, H. C. (2020). Assessing Trainees and Making Entrustment Decisions: On the Nature and Use of Entrustment-Supervision Scales. Academic Medicine, 95(11), 1662–1669. https://doi.org/10.1097/ACM.0000000000003427
Trevino, Z. R., Mullet, N., Hawkins, L. G., Guzman, A., & Garcia, M. S. (2024). Modern Challenges of Individuals in Interracial Relationships in a Racialized Society: A Thematic Analysis. The American Journal of Family Therapy, 52(4), 448–466. https://doi.org/10.1080/01926187.2023.2272915
Tsiakmaki, M., Kostopoulos, G., Kotsiantis, S., & Ragos, O. (2019). Implementing AutoML in Educational Data Mining for Prediction Tasks. Applied Sciences, 10(1), 90. https://doi.org/10.3390/app10010090
Vogel, R. M., & Bolino, M. C. (2020). Recurring Nightmares and Silver Linings: Understanding How Past Abusive Supervision May Lead to Posttraumatic Stress and Posttraumatic Growth. Academy of Management Review, 45(3), 549–569. https://doi.org/10.5465/amr.2017.0350
Wu, F., Liu, N., Chen, L., Li, N., Lu, Y., Cao, D., Xu, M., Wang, Z., & Su, Y. (2021). A Universal Method for Enhancing the Structural Stability of Ni-Rich Cathodes Via the Synergistic Effect of Dual-Element Cosubstitution. ACS Applied Materials & Interfaces, 13(21), 24925–24936. https://doi.org/10.1021/acsami.1c05486
Yadav, D. (2022). Criteria for Good Qualitative Research: A Comprehensive Review. The Asia-Pacific Education Researcher, 31(6), 679–689. https://doi.org/10.1007/s40299-021-00619-0
Zuo, Y., & Kawabata, Y. (2024). Does the mask reduce the attractiveness of your voice?: A study of voice perception from the perspective of acoustic measurements and subjective ratings. Acoustical Science and Technology, 45(1), 25–32. https://doi.org/10.1250/ast.e23.14
Copyright (c) 2024 Aries Musnandar, Sutrisno Sutrisno, Muhammad Talhah Ajmain@Jimaain, Galuh Prabowo, Nyak Dara Najmatus Subhi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
