Managing Personalization and Collaboration in Education: A Systematic Review of Educational Practices

Enung Hasanah
DOI: https://doi.org/10.33650/al-tanzim.v8i3.8751



Abstract

This systematic literature review analyzes 20 carefully selected documents from the Scopus database. This study explores ways that align with Islamic educational management's principles to balance personalized learning outcomes and community empowerment in academic settings. The selection of documents is based on relevance to the focus and recent developments in Islamic education. The qualitative analysis method uses thematic coding and VOS Viewer. The analysis results indicate that Islamic approaches like collaboration, reflection, and feedback can achieve balanced learning outcomes. Collaborative filtering helps select learning materials according to student's needs, while reflection and feedback strengthen positive interactions and ukhuwah within the learning community. In addition, computer-based learning and e-learning allow students to learn at their own pace. A flexible curriculum allows for adjustments to students' interests by the principle of taysir (making it easy). These findings recommend that educational institutions integrate a multifaceted approach to create an inclusive, adaptive, and Islamic-oriented learning environment. 



Keywords

Educational Management, Personalized Learning, Collaboration, Social Skills

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References

Akdag, S., & Altinay, Z. (2021). Learning Through Digital Stories for Safe School Environment. Frontiers in Psychology, 12, 738954. https://doi.org/10.3389/fpsyg.2021.738954

Azevedo, B. F., Pacheco, M. F., Fernandes, F. P., & Pereira, A. I. (2024). Dataset of Mathematics Learning and Assessment of Higher Education Students Using the MathE Platform. Data in Brief, 53, 110236. https://doi.org/10.1016/j.dib.2024.110236

Azevedo, B. F., Pereira, A. I., Fernandes, F. P., & Pacheco, M. F. (2022). Mathematics Learning and Assessment Using Mathe Platform: A Case Study. Education and Information Technologies, 27(2), 1-23. https://doi.org/10.1007/s10639-021-10669-y

Bai, H. (2019). Pedagogical Practices of Mobile Learning in K-12 and Higher Education Settings. TechTrends, 63(5), 611-620. https://doi.org/10.1007/s11528-019-00419-w

Barber, W. (2015). Building Community in Flipped Classrooms: A Narrative Exploration of Digital Moments in Online Learning. Proceedings of the International Conference on E-Learning, ICEL, 2015-January.

Blumenstein, M. (2020). Synergies of Learning Analytics and Learning Design: A Systematic Review of Student Outcomes. Journal of Learning Analytics, 7(3), 13-32. https://doi.org/10.18608/JLA.2020.73.3

Carrera-Rivera, A., Ochoa, W., Larrinaga, F., & Lasa, G. (2022). How-to Conduct A Systematic Literature Review: A Quick Guide for Computer Science Research. MethodsX, 9, 101895. https://doi.org/10.1016/j.mex.2022.101895

Chandrasekaran, R., Tan, A. L., Tan, S. C., & Yeong, F. M. (2019). Solving Ill-Structured Problems Mediated by Online-Discussion Forums: Mass Customisation of Learning. ASCILITE 2019 - Conference Proceedings - 36th International Conference of Innovation, Practice and Research in the Use of Educational Technologies in Tertiary Education: Personalised Learning. Diverse Goals. One Heart. https://doi.org/10.14742/apubs.2019.159

Christinawati, Amalia, Y. S., Mustofa, H. R. B., & Pandin, M. G. R. (2020). Social Character Through Poetry for Children in Rehabilitation. Talent Development and Excellence, 12(1).

Elice, D., & . S. (2023). Philosophy of Islamic Education Management: Islamic Education Management Challenges in Facing Globalization Era. Journal of Multidisciplinary Cases, 33, 28-34. https://doi.org/10.55529/jmc.33.28.34

Fernando, E., Titan, Surjandy, & Meyliana. (2020). Factors Influence the Success of E-Learning Systems for Distance Learning at the University. Proceedings of 2020 International Conference on Information Management and Technology, ICIMTech 2020. https://doi.org/10.1109/ICIMTech50083.2020.9211163

Fung, D. (2023). The Synergy of Peer Collaboration and Mind Mapping in Cultivating Primary Students’ Science Understanding: An Integrative Pedagogy to Enhance Science Concept Acquisition. International Journal of Science Education, 46(2), 131-154. https://doi.org/10.1080/09500693.2023.2222549

Greaves, M., & Bahous, R. (2021). Adapting to Change; Exploring Early Childhood Educators’ Perceptions of a Child-Centered Curriculum. Early Childhood Education Journal, 49(4), 581-592. https://doi.org/10.1007/s10643-020-01077-x

Grenier, M., & Yeaton, P. (2012). The Cooperative Learning Model as An Inclusive Pedagogical Practice in Physical Education. In Cooperative Learning in Physical Education: A Research Based Approach. https://doi.org/10.4324/9780203132982-19

Hamzah, F., Abdullah, A. H., & Ma, W. (2024). Advancing Education through Technology Integration, Innovative Pedagogies and Emerging Trends: A Systematic Literature Review. Journal of Advanced Research in Applied Sciences and Engineering Technology, 41(1), 44-63. https://doi.org/10.37934/araset.41.1.4463

Hanushek, E. A., & Woessmann, L. (2020). The Economic Impacts of Learning Losses. OECD Education Working Papers, no. 225. In OECD Publishing.

Hasanah, E., Al Ghazy, M. I., Suyatno, S., Maryani, I., & Mohd Yusoff, M. Z. (2023). Unlocking Classroom Potential: Exploring the Mediating Role of Teacher Mindset on Embracing Differentiated Instruction. International Journal of Learning, Teaching and Educational Research, 22(10), 433–452. https://doi.org/10.26803/ijlter.22.10.24

Hidayah, H. (2021). Teori Manajemen Pendidikan Islam. Jurnal Mumtaz, 1(1), 44-52.

Inayat, I., Amin, R. U., Inayat, Z., & Salim, S. S. (2013). Effects of Collaborative Web Based Vocational Education and Training (VET) on Learning Outcomes. Computers and Education, 68, 153-166. https://doi.org/10.1016/j.compedu.2013.04.027

Khosravi, H., Sadiq, S., & Gasevic, D. (2020). Development and Adoption of An Adaptive Learning System Reflections and Lessons Learned. SIGCSE 2020 - Proceedings of the 51st ACM Technical Symposium on Computer Science Education. https://doi.org/10.1145/3328778.3366900

Krouska, A., Troussas, C., & Sgouropoulou, C. (2022). Mobile Game-Based Learning as A Solution in Covid-19 Era: Modeling the Pedagogical Affordance and Student Interactions. Education and information technologies, 27(1), 229-241. https://doi.org/10.1007/s10639-021-10672-3

Kumar, J. A. (2021). Educational Chatbots for Project-Based Learning: Investigating Learning Outcomes for A Team-Based Design Course. International Journal of Educational Technology in Higher Education, 18(1), 65. https://doi.org/10.1186/s41239-021-00302-w

Lashley, L. (2017). The Effects of Computer-Aided Instruction in Mathematics on the Performance of Grade 4 Pupils. SAGE Open, 7(3), 2158244017712775. https://doi.org/10.1177/2158244017712775

Lau, S. H., Tay, K. M., & Ng, C. K. (2014). An Application of Fuzzy Adaptive Resonance Theory to Engineering Education. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8836. https://doi.org/10.1007/978-3-319-12643-2_52

Levy-Feldman, I. (2018). The Good Teacher for The Twenty-First Century: A “Mentoring Teacher” with Heutagogical Skills. International Journal of Mentoring and Coaching in Education, 7(2), 177-190. https://doi.org/10.1108/IJMCE-10-2017-0067

Luo, L., Yang, Y., & Wei, Y. (2017). Research on Adaptive Mobile Collaborative Learning System. In Data Science: Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, (pp. 414-423). https://doi.org/10.1007/978-981-10-6388-6_34

Nja, C. O., Orim, R. E., Neji, H. A., Ukwetang, J. O., Uwe, U. E., & Ideba, M. A. (2022). Students’ attitude and Academic Achievement in A Flipped Classroom. Heliyon, 8(1). https://doi.org/10.1016/j.heliyon.2022.e08792

Papadakis, H., Papagrigoriou, A., & Fragopoulou, P. (2022). Collaborative Filtering Recommender Systems Taxonomy. Knowledge and Information Systems, 64(1). https://doi.org/10.1007/s10115-021-01628-7

Qureshi, M. A., Khaskheli, A., Qureshi, J. A., Raza, S. A., & Yousufi, S. Q. (2023). Factors Affecting Students’ Learning Performance through Collaborative Learning and Engagement. Interactive Learning Environments, 31(4), 2371-2391. https://doi.org/10.1080/10494820.2021.1884886

Ribeirinha, T., & Silva, B. (2021). The Coexistence Between Online and Face-to-Face Learning in The Students’ Training Process: An Action-Research Study on the Operationalization of The Flipped Classroom in Portuguese Secondary Education. Revista Portuguesa de Educacao, 34(2), 161-182. https://doi.org/10.21814/RPE.21345

Rogosic, S., Maskalan, A., & Jurki, A. (2020). What Are the Key Roles of Education? Jahr, 11(22), 445-465. https://doi.org/10.21860/J.11.2.7

Rusli, R., Rahman, A., & Abdullah, H. (2020). Student Perception Data on Online Learning Using Heutagogy Approach in the Faculty of Mathematics and Natural Sciences of Universitas Negeri Makassar, Indonesia. Data in Brief, 29, 105152. https://doi.org/10.1016/j.dib.2020.105152

Seghroucheni, Y., AL Achhab, M., & El mohajir, B. E. (2015). A Bayesian Network Based on the Differentiated Pedagogy to Generate Learning Object According to FSLSM. International Journal of Recent Contributions from Engineering, Science & IT (IJES), 3(2), 21-26. https://doi.org/10.3991/ijes.v3i2.4363

Suson, R., & Ermac, E. (2020). Computer Aided Instruction to Teach Concepts in Education. International Journal on Emerging Technologies, 11(3), 47-52.

Troussas, C., Krouska, A., Alepis, E., & Virvou, M. (2020). Intelligent and Adaptive Tutoring through A Social Network for Higher Education. New Review of Hypermedia and Multimedia, 26(3–4). https://doi.org/10.1080/13614568.2021.1908436

Yang, G., Dai, Y., Zhao, H., Hirota, K., & Lu, H. (2017). Intelligent Web-based Experiment Management System Using Multi-Agent Concept. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017-January. https://doi.org/10.1109/IECON.2017.8217494

Yanjin, S., Liu, Q., Kun, Z., & Ruirui, Z. (2023). The Application of Artificial Intelligence Technology in Personalized Teaching of Vocational Education. 2023 13th International Conference on Information Technology in Medicine and Education (ITME), 846–850. https://doi.org/10.1109/ITME60234.2023.00172

Zhang, J. H., Zhang, Y. X., Zou, Q., & Huang, S. (2018). What Learning Analytics Tells Us: Group Behavior Analysis and Individual Learning Diagnosis Based on Long-Term and Large-Scale Data. Educational Technology and Society, 21(2), 245-258.

Zhang, Z., Cao, T., Shu, J., Zhi, M., Liu, H., & Li, Z. (2017). Exploration of Blended Teaching Pattern Based on Hstar and Smart Classroom. Proceedings - 2017 International Symposium on Educational Technology, ISET 2017. https://doi.org/10.1109/ISET.2017.10

Zhao, J., Zhuang, F., Ao, X., He, Q., & Ma, L. (2021). Survey of Collaborative Filtering Recommender Systems. Journal of Cyber Security, 6(05), 17-34. https://doi.org/10.19363/J.cnki.cn10-1380/tn.2021.09.02


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Al-Tanzim : Jurnal Manajemen Pendidikan Islam
Published by Postgraduate of Nurul Jadid University, Probolinggo, East Java, Indonesia.