Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)

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Predictive Analytics in Education: Leveraging AI for Personalizing Student Learning Trajectories

Authors
Longfa Yuan1, Bo Hou1, Daimin Feng2, Siti Soraya Abdul Rahman1, *, Rafiza Abdul Razak1
1Universiti Malaya, Kuala Lumpur, 50603, Malaysia
2Universiti Sains Malaysia, Penang, 11800, Malaysia
*Corresponding author. Email: soraya@um.edu.my
Corresponding Author
Siti Soraya Abdul Rahman
Available Online 15 May 2025.
DOI
10.2991/978-2-38476-400-6_38How to use a DOI?
Keywords
Predictive Analytics; Personalized Learning; AI in Education; Student Performance
Abstract

Predictive analytics in education have emerged as a transformative approach to enhancing student outcomes by tailoring learning experiences. This study explores the application of artificial intelligence (AI) to predict student performance and design personalized learning trajectories. Leveraging advanced AI models and robust data analysis techniques, we examine key factors influencing academic success, including engagement metrics and prior performance. The proposed framework identifies at-risk students early, enabling timely educational interventions and optimizing individual learning paths. The results highlight the AI models’ predictive accuracy and potential for supporting data-driven decisions. This research emphasizes the importance of predictive analytics in fostering student-centric approaches and improving educational strategies.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 May 2025
ISBN
978-2-38476-400-6
ISSN
2352-5398
DOI
10.2991/978-2-38476-400-6_38How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Longfa Yuan
AU  - Bo Hou
AU  - Daimin Feng
AU  - Siti Soraya Abdul Rahman
AU  - Rafiza Abdul Razak
PY  - 2025
DA  - 2025/05/15
TI  - Predictive Analytics in Education: Leveraging AI for Personalizing Student Learning Trajectories
BT  - Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
PB  - Atlantis Press
SP  - 309
EP  - 314
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-400-6_38
DO  - 10.2991/978-2-38476-400-6_38
ID  - Yuan2025
ER  -