Generate personalized practice questions and exam content.
Transforming education with adaptive question banks and fine-tuned AI for better learner outcomes.
Gather a comprehensive dataset of educational materials, learner performance data, and question types across various subjects and difficulty levels.
Data Collection
Model Fine-Tuning
Fine-tune GPT-4 on the educational dataset to optimize its ability to generate personalized, contextually relevant questions and exam content.
System Development
Develop an AI-powered intelligent question bank that integrates the fine-tuned model to provide adaptive and personalized learning resources.
Performance Evaluation
Use metrics such as question relevance, learner engagement, and educational outcomes to assess the system’s effectiveness.
Expected Outcomes
This research aims to demonstrate that fine-tuning GPT-4 can significantly enhance the quality and personalization of AI-generated educational content. The outcomes will contribute to a deeper understanding of how advanced AI models can be adapted for educational applications, improving learning efficiency and outcomes. Additionally, the study will highlight the societal impact of AI in democratizing access to high-quality educational resources and supporting personalized learning experiences.