Project Name

Intelligent Interactive Mechanisms: Enhancing Student-Teacher Interactions with Virtual AI Tutors for Advanced Learning in Engineering Education

Project Description

As the field of engineering education continues to evolve, the integration of Virtual AI Tutors (VAITs) presents a promising avenue to enhance learning outcomes. This research explores how VAIT-facilitated interactions influence learning outcomes in engineering education. Despite the importance of interaction in learning, studies on VAITs' design and efficacy in this field are limited. Interaction time is constrained in block-mode learning, and post-assignment feedback from teachers may not improve module scores. To address this, we propose "EnginAI Tutor," a platform tailored for engineering students, featuring AI-driven personalized learning and interactive problem-solving, and providing a a 24/7 real-time feedback mechanism for step-by-step interaction between students and virtual tutors. This study aims to inform educators and policymakers on optimizing AI integration to enhance learning in engineering education.

Project Members

Project Leader: Quadir, Benazir document-files.pngdirection-sign.png(Academy of Future Education, XJTLU)

Project Members: Mostafa, Kazi (School of Intelligent Manufacturing Ecosystem, XJTLU)

Project Outcome

Recruitment

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Updated on 20 July 2024, 5:45 PM; 186 page visits from 20 July 2024 to 22 November 2024