AI-Powered Spaced Repetition Tool to Enhance Student Learning and Memory Retention

Background

Students often struggle to adopt effective study techniques such as spaced repetition, active recall, and deliberate practice due to lack of awareness and habit. Traditional methods fail to maximize memory retention and concept comprehension, especially in competitive education environments. This challenge is amplified by distractions like social media and smartphone usage, reducing focus and learning efficiency.

Objective

• Develop AI tools to improve student learning and memory retention.
• Enable students to confidently grasp and retain subject material.
• Build an app to deliver concise lesson summaries and integrate automated study techniques such as spaced repetition and question generation.
• Explore partnerships with EdTech companies to scale benefits to a broader audience.

Approach

The project involved leveraging AI and natural language processing (NLP) techniques to address student learning challenges:

1. Research on NLP Algorithms: Investigated methods for summarization, keyword masking, and flashcard generation to facilitate spaced repetition and active recall.
2. Spaced Repetition and Flashcard Generation: Designed and trained models using NLP and deep learning to automate these processes.
3. Question and MCQ Generation: Implemented Hugging Face libraries to create custom assessments tailored to student learning material.
4. AI-Based Reading Tool: Built a system to simplify abstract concepts and enhance comprehension.
5. Deployment and Evaluation: Conducted rigorous testing to optimize the effectiveness of the tools.
6. App Development: Designed a user-friendly app to deliver study updates and summaries to students.

Results and Impact

• Developed an AI tool capable of summarizing study materials and automating key techniques like spaced repetition and active recall.
• Enhanced student confidence and retention of complex concepts, making exam preparation more efficient.
• Demonstrated measurable improvements in memory retention and learning outcomes.
• Positioned the tool as a scalable solution for EdTech companies and institutions in countries like India, where education is a key driver of success.

Future Implications

This project paves the way for integrating AI in education to enhance learning efficiency. The findings can inform future research in AI-driven teaching tools and influence EdTech companies to adopt automated solutions for improving student retention. Expanding the tool to include multilingual support and adaptive learning techniques could further broaden its impact globally.