AI tracks student learning behavior and provides targeted suggestions

Unlock personalized learning experiences with our AI-powered analytics platform.

A computer screen displaying an analytics dashboard with metrics such as event activity, showing a current value of 4.7k for today's activity. There are graphs indicating trends and peaks in the data, as well as labels for different types of events.
A computer screen displaying an analytics dashboard with metrics such as event activity, showing a current value of 4.7k for today's activity. There are graphs indicating trends and peaks in the data, as well as labels for different types of events.

Data Collection

Gather a comprehensive dataset of student learning behaviors, including engagement metrics, performance data, and interaction patterns across various educational platforms.

A smartphone displays analytics data with graphs showing views, downloads, and likes. It is resting vertically on a white dock next to a small potted succulent plant. In the background, a large computer monitor is partially visible, along with a closed laptop and a white wireless earbud case.
A smartphone displays analytics data with graphs showing views, downloads, and likes. It is resting vertically on a white dock next to a small potted succulent plant. In the background, a large computer monitor is partially visible, along with a closed laptop and a white wireless earbud case.

Model Fine-Tuning

Fine-tune GPT-4 on the learning analytics dataset to optimize its ability to analyze behavioral data, identify trends, and generate personalized recommendations.

A workspace featuring a tablet and a laptop on a wooden desk. The tablet displays an online learning platform with various course thumbnails, while the laptop shows a coding environment with a colorful code editor. The setup suggests a focus on learning and coding.
A workspace featuring a tablet and a laptop on a wooden desk. The tablet displays an online learning platform with various course thumbnails, while the laptop shows a coding environment with a colorful code editor. The setup suggests a focus on learning and coding.

System Development

Develop an AI-powered learning analytics platform that integrates the fine-tuned model to provide real-time feedback and actionable insights to students and educators.

woman wearing yellow long-sleeved dress under white clouds and blue sky during daytime

Expected Outcomes

This research aims to demonstrate that fine-tuning GPT-4 can significantly enhance the accuracy and personalization of AI-driven learning analytics systems. 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.