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Title:      A FRAMEWORK FOR ADAPTIVE LEARNING BASED ON PROCESS MINING IN HIGHER EDUCATION
Author(s):      Nisseb Bergaoui and Sonia Ayachi Ghannouchi
ISBN:      978-989-8704-71-9
Editors:      Paula Miranda and Pedro IsaĆ­as
Year:      2025
Edition:      Single
Keywords:      Process Mining, Agile Learning, Adaptive Learning, BPM, Smart Education
Type:      Full Paper
First Page:      99
Last Page:      105
Language:      English
Cover:      cover          
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Paper Abstract:      Higher education plays a critical role in human, economic, and societal development. In today's rapidly evolving educational landscape, institutions face the challenge of delivering personalized, flexible, and effective learning experiences. This paper proposes a hybrid framework for adaptive and intelligent education, combining Agile principles, Business Process Management (BPM), and Process Mining (PM) to enhance teaching and learning processes. By mapping the values and principles of the Agile Manifesto to educational contexts, the model promotes flexibility, collaboration, and continuous feedback, enabling instructors to better address diverse student needs. BPM provides a structured lifecycle for modeling, analysis, and continuous improvement of educational processes, while PM leverages event log data to identify inefficiencies and deviations through advanced algorithms. Our contributions are threefold: (1) the development of an Adaptive Learning algorithm with three modules filtering, process discovery, and enhancement to iteratively improve learning processes; (2) a cyclical Agile-Education approach that integrates BPMN modeling and Process Mining techniques to refine teaching strategies over successive iterations; and (3) the design of an Android application that supports instructors in modeling, monitoring, and optimizing educational activities. Although the framework is validated on a single course module with a limited sample size, results suggest potential for improving instructional responsiveness and student outcomes. Future research will focus on expanding validation across diverse courses and institutions.
   

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