Dynamic Adaptation in an Intelligent Multi-Tutoring System: A Multi-Agent Approach | Zendy

Rida Zakaria | Zendy; Boukachour Hadhoum | Zendy; Ennaji Mourad | Zendy; Machkour Mustapha | Zendy

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Dynamic Adaptation in an Intelligent Multi-Tutoring System: A Multi-Agent Approach

Author(s) -

Rida Zakaria,

Boukachour Hadhoum,

Ennaji Mourad,

Machkour Mustapha

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3576651

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Online learning provides new educational opportunities but continues to face high dropout rates compared to traditional classroom settings. To address this issue, we propose IMTS (Intelligent Multi-Tutoring System), an intelligent tutoring system that an intelligent tutoring system that integrates both multi-tutoring and multidisciplinary capabilities. IMTS synergistically integrates automated tutoring (intelligent agents) and human tutoring (teachers and peers) to deliver personalized support to learners. The proposed architecture is based on a multi-agent system (MAS) that dynamically adapts pedagogical interventions according to the learners’ profiles and needs. By analyzing learning progress in real time, the system continuously adjusts its recommendations and guides the student toward the most appropriate support (educational resources, peer interaction, or teacher intervention). IMTS was developed using the JADE platform and integrated into a customized Learning Management System (LMS). An experiment conducted with students demonstrated improved academic performance, increased engagement, and reduced dropout rates. These findings suggest that IMTS represents a significant advancement in online education by enabling more interactive, responsive, and personalized tutoring.

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