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A Comprehensive Educational Platform based on Generative Artificial Intelligence
1School of Education, City University of Macau; chenliangyuu@outlook.com.
Journal of Visualized Experiments : Jove
|July 27, 2026
Summary
Generative Artificial Intelligence (GAI) platforms enhance education by personalizing learning pathways. This study introduces an integrated GAI educational platform that significantly improves learning outcomes and student engagement.
Area of Science:
- Educational Technology
- Artificial Intelligence in Education
- Computer Science
Background:
- Existing educational platforms often use static content and fixed learning pathways.
- There is a need for integrated architectures to leverage Generative Artificial Intelligence (GAI) for adaptive learning experiences.
- GAI offers transformative potential for dynamic content creation and personalized education.
Purpose of the Study:
- To design, implement, and evaluate a novel, comprehensive educational platform based on Generative Artificial Intelligence (GAI).
- To address the limitations of static educational platforms by creating a GAI-integrated system for adaptive learning.
- To provide an empirical evaluation of the platform's efficacy in improving learning outcomes and engagement.
Main Methods:
- Developed a three-layer GAI educational platform architecture: Basic Technical Layer (modular AI models), Processing Centre (data synthesis, optimization), and Application and Interaction Layer (functional modules).
- Integrated modular AI models such as Transformer and attention-based CNN-BiLSTM.
- Conducted a randomized controlled trial (RCT) with 50 undergraduate students and 20 educators over two semesters, comparing the GAI platform against traditional methods.
Main Results:
- The GAI-based platform significantly improved learning outcomes compared to traditional methods.
- Student engagement metrics, including time-on-task and content interaction rates, were substantially increased.
- The platform demonstrated high accuracy in personalized content matching, adapting to individual learner needs.
Conclusions:
- The proposed GAI educational platform represents a significant advancement in educational technology.
- The integrated architecture effectively personalizes instruction and supports adaptive learning at scale.
- Empirical evidence supports the practical value of GAI systems in enhancing educational effectiveness and fostering lifelong learning.
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