Transforming Islamic Education and Language Reinforcement: Empowering Learning with the Assure Model
DOI:
https://doi.org/10.59890/ijeps.v1i3.448Keywords:
ASSURE Model, Learning process, Language reinforcement, Islamic EducationAbstract
This research explores the transformation of Islamic education with a focus on language strengthening through the application of the ASSURE learning model. Through a comprehensive literature review, this article uses sources such as books, journals, documents, and articles. The research results highlight the potential of the ASSURE model in improving students' learning experiences and expanding their understanding of religious teachings, thereby having a positive impact on the effectiveness of learning in the context of Islamic Religious Education. Continuous evaluation and adjustment were identified as key to ensuring sustainability and improved learning outcomes.
References
Afsar, B., & Umrani, W. A. (2019). Transformational leadership and innovative work behavior. European Journal of Innovation Management, 23(3), 402–428. https://doi.org/10.1108/EJIM-12-2018-0257
Ashmore, R., Calinescu, R., & Paterson, C. (2022). Assuring the Machine Learning Lifecycle. ACM Computing Surveys, 54(5), 1–39. https://doi.org/10.1145/3453444
Asquith, W. H., Seanor, R. C., McGuire, V. L., & Kress, W. H. (2020). Methods to quality assure, plot, summarize, interpolate, and extend groundwater-level information—examples for the Mississippi River Valley alluvial aquifer. Environmental Modelling & Software, 134, 104758. https://doi.org/10.1016/j.envsoft.2020.104758
Aziz, I. U. A., & Pasaribu, M. (2021). Characteristics of Children in Islamic Education in The Family in The Pandemic Time. Proceeding International Seminar on Islamic Studies, 2, 91–100.
Aziz, S., Mahmood, M., & Rehman, Z. (2018). Implementation of CIPP Model for Quality Evaluation at School Level: A Case Study CIPP Model for Quality Evaluation. Journal of Education and Educational Developement, 5(1), 189–206.
Brewer, R., & Movahedazarhouligh, S. (2018). Successful stories and conflicts: A literature review on the effectiveness of flipped learning in higher education. Journal of Computer Assisted Learning, 34(4), 409–416. https://doi.org/10.1111/jcal.12250
Creswell, J. W. (2019). Pendekatan Metode Kualitatif, Kuantitatif, dan Campuran. Yogyakarta: Pustaka Pelajar.
Dewi, E. R., & Alam, A. A. (2020). Transformation model for character education of students. Cypriot Journal of Educational Sciences, 15(5), 1228–1237. https://doi.org/10.18844/CJES.V15I5.5155
Esteso, A., Peidro, D., Mula, J., & Díaz-Madroñero, M. (2023). Reinforcement learning applied to production planning and control. International Journal of Production Research, 61(16), 5772–5789. https://doi.org/10.1080/00207543.2022.2104180
Fiandra, Y. A., Jalinus, N., Ridwan, R., & Abdullah, R. (2022). The Effect of Prior Knowledge and ASSURE Model on Simulation and Digital Communication Learning Outcomes in Vocational High School. Jurnal VARIDIKA, 1(1), 53–62. https://doi.org/10.23917/varidika.v1i1.18283
Idris, S., Tabrani, & Sulaiman, F. (2018). Critical Education Paradigm in the Perspective of Islamic Education. Advanced Science Letters, 24(11), 8226–8230. https://doi.org/10.1166/asl.2018.12529
Ismail, I., Ali, H., & Anwar Us, K. (2022). Factors Affecting Critical and Holistic Thinking in Islamic Education in Indonesia: Self-Concept, System, Tradition, Culture. (Literature Review Of Islamic Education Management). Dinasti International Journal of Management Science, 3(3), 407–437. https://doi.org/10.31933/dijms.v3i3.1088
Kim, S., Raza, M., & Seidman, E. (2019). Improving 21st-century teaching skills: The key to effective 21st-century learners. Research in Comparative and International Education, 14(1), 99–117. https://doi.org/10.1177/1745499919829214
Låg, T., & Sæle, R. G. (2019). Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis. AERA Open, 5(3), 233285841987048. https://doi.org/10.1177/2332858419870489
Lauriola, I., Lavelli, A., & Aiolli, F. (2022). An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools. Neurocomputing, 470, 443–456. https://doi.org/10.1016/j.neucom.2021.05.103
Lei, G. (2023). Influence of ASSURE model in enhancing educational technology. Interactive Learning Environments, 1–17. https://doi.org/10.1080/10494820.2023.2172047
Mahmud, M., Kaiser, M. S., Rahman, M. M., Rahman, M. A., Shabut, A., Al-Mamun, S., & Hussain, A. (2018). A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications. Cognitive Computation, 10(5), 864–873. https://doi.org/10.1007/s12559-018-9543-3
Majeed, A., & Ali, M. (2018). How Internet-of-Things (IoT) making the university campuses smart? QA higher education (QAHE) perspective. 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), 646–648. https://doi.org/10.1109/CCWC.2018.8301774
Malik, M., Sarwar, S., & Orr, S. (2021). Agile practices and performance: Examining the role of psychological empowerment. International Journal of Project Management, 39(1), 10–20. https://doi.org/10.1016/j.ijproman.2020.09.002
Maltoni, D., & Lomonaco, V. (2019). Continuous learning in single-incremental-task scenarios. Neural Networks, 116, 56–73. https://doi.org/10.1016/j.neunet.2019.03.010
Miranda, J., Navarrete, C., Noguez, J., Molina-Espinosa, J.-M., Ramírez-Montoya, M.-S., Navarro-Tuch, S. A., Bustamante-Bello, M.-R., Rosas-Fernández, J.-B., & Molina, A. (2021). The core components of education 4.0 in higher education: Three case studies in engineering education. Computers & Electrical Engineering, 93, 107278. https://doi.org/10.1016/j.compeleceng.2021.107278
Purnamasari, R., Suchyadi, Y., Karmila, N., Nurlela, N., Mirawati, M., Handayani, R., Sri Indriani, R., Syahiril Anwar, W., & Kurnia, D. (2020). Student Center Based Class Management Assistance Through The Implementation of Digital Learning Models And Media. Journal Of Community Engagement (JCE), 02, 41–44. https://journal.unpak.ac.id/index.php/jce
Rahmandhani, H. N., & Utami, E. (2022). Comparative Analysis of ADDIE and ASSURE Models in Designing Learning Media Applications. Jurnal Educative: Journal of Educational Studies, 7(2), 123. https://doi.org/10.30983/educative.v7i2.6005
Teng, L. S., & Zhang, L. J. (2020). Empowering learners in the second/foreign language classroom: Can self-regulated learning strategies-based writing instruction make a difference? Journal of Second Language Writing, 48, 100701. https://doi.org/10.1016/j.jslw.2019.100701
Tolchah, M., & Mu’ammar, M. A. (2019). Islamic education in the globalization era; challenges, opportunities, and contribution of islamic education in indonesia. Humanities and Social Sciences Reviews, 7(4), 1031–1037. https://doi.org/10.18510/hssr.2019.74141
Wang, W. Y., Li, J., & He, X. (2018). Deep Reinforcement Learning for NLP. Proceedings of ACL 2018, Tutorial Abstracts, 19–21. https://doi.org/10.18653/v1/P18-5007
Weisz, G., Budzianowski, P., Su, P.-H., & Gasic, M. (2018). Sample Efficient Deep Reinforcement Learning for Dialogue Systems With Large Action Spaces. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26(11), 2083–2097. https://doi.org/10.1109/TASLP.2018.2851664
Yulianti, T., & Sulistiyawati, A. (2020). The Blended Learning for Student’s Character Building. Proceedings of the International Conference on Progressive Education (ICOPE 2019). https://doi.org/10.2991/assehr.k.200323.089
Zed, M. (2014). Metode Penelitian Kepustakaan. Jakarta: Yayasan Obor Indonesia.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Tsania fitramaulidia, Muhammad Adip Fanani

This work is licensed under a Creative Commons Attribution 4.0 International License.


