TICE Match Pro: An Intelligent Recommendation System for the Contextualized Integration of Information and Communication Technologies in Education

TICE Match Pro: An Intelligent Recommendation System for the Contextualized Integration of Information and Communication Technologies in Education

Article Number: e2026005 | Available Online: January 2026 | DOI: 10.22521/edupij.2026.20.5

Latifa Lamalif , Mounia Machkour , Sophia Faris , Khalifa Mansouri

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Abstract

Background/purpose. The TICE Match Pro system has been developed to address the persistent challenge of effectively integrating information and communication technologies in education. Given the abundance of digital resources and the varied constraints teachers face, selecting the most appropriate tools remains complex. This research aims to facilitate this selection process by providing personalized recommendations tailored to teachers’ pedagogical and technical contexts.

Materials/methods. The system’s design is grounded in theoretical frameworks such as TPACK (Technological Pedagogical Content Knowledge) and SAMR (Substitution, Augmentation, Modification, Redefinition). TICE Match Pro analyzes both instructional needs and technical constraints to generate contextualized recommendations. The approach involves matching teachers’ profiles with suitable digital tools through an intuitive and accessible interface intended for regular classroom use.

Results. Expected outcomes include increased adoption of ICT, enhanced teaching practices, and improved alignment between pedagogical objectives and technological tools. The system also anticipates providing valuable insights for assessing the impact of ICT integration on educational practices.

Conclusion. TICE Match Pro offers a promising solution for optimizing ICT integration in education by bridging the gap between available digital resources and teachers’ specific needs. Future empirical studies are planned to evaluate the system’s effectiveness and acceptability in real- world classroom environments.

Keywords: ICT, recommendation system, theoretical modeling, pedagogical integration, personalization, artificial intelligence in education

References

Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734–749. https://doi.org/10.1109/TKDE.2005.99

Armand, P. (2016). Systèmes de recommandation : Entre algorithmes, données et confiance. In Actes de la conférence EIAH 2016(pp. xx–xx). [Vérifier pagination]

Belkhir, Y. (2018). Les TICE comme levier d’innovation pédagogique : Enjeux et perspectives. Revue Internationale des Technologies en Pédagogie Universitaire, 15(3), 40–52. https://doi.org/10.18162/ritpu-2018-v15n3-04

Brusilovsky, P., & Millán, E. (2007). User models for adaptive hypermedia and adaptive educational systems. In P. Brusilovsky, A. Kobsa, & W. Nejdl (Eds.), The adaptive web (pp. 3–53). Springer. https://doi.org/10.1007/978-3-540-72079-9_1

Chen, L., Cheng, G., & Cheung, W. S. (2018). Personalized learning: A review of the literature. International Journal of Educational Technology in Higher Education, 21(1), 1–12. https://doi.org/10.1186/s41239-018-0081-9

Diakopoulos, N., & Koliska, M. (2017). Algorithmic transparency in the news media. Digital Journalism, 5(2), 1–18. https://doi.org/10.1080/21670811.2016.1208053

Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2010). Teacher technology change: How knowledge, confidence, beliefs, and culture intersect. Journal of Research on Technology in Education, 42(3), 255–284. https://doi.org/10.1080/15391523.2010.10782551

Lamalif, L., Machkour, M., Faris, S., & Mansouri, K. (2024). Towards a new model for the successful implementation of information and communication technologies in education. Frontiers in Education, 9, 1470799. Frontiers Media SA. https://doi.org/10.3389/feduc.2024.1470799

Mastafi, M. (2021). Recommender systems in education: The importance of contextual factors. Educational Technology Research and Development, 69(4), 1793–1812. https://doi.org/10.1007/s11423-021-10000-4

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Puentedura, R. R. (2013). SAMR and TPCK: Intro to advanced practice. Hippasus. http://www.hippasus.com/rrpweblog/

Ricci, F., Rokach, L., Shapira, B., & Kantor, P. B. (Eds.). (2015). Recommender systems handbook (2nd ed.). Springer. https://doi.org/10.1007/978-1-4899-7637-6

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Yu, D. (2021). Challenges in selecting educational technologies: Teachers’ perspectives and decision-making. Computers & Education, 165, 104149. https://doi.org/10.1016/j.compedu.2021.104149

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