# AIStudyBuddy

This project aims to introduce AI-driven resources and assessments to enhance the teaching and learning experiences for students and curriculum planners. The AI-enabled 'study companion' tool offers targeted assistance to students, like setting objectives to secure top grades in a course and generating suggestions to meet those objectives. The AI-integrated 'companion analytics' tool equips curriculum planners with dashboards and assists them in the process of (re)structuring study programs.

- Type: Funded project
- URL: https://www.gyunam.com/funding/aistudybuddy/
- Period: 2023 – 2024
- Kind: research
- Funder: German Federal Ministry of Education and Research (BMBF), project agency VDI/VDE-IT
- Role: Led the RWTH Aachen University team in two work packages on AI-based study support for students
- Total budget: EUR 3.9 M
- Project website: https://learntech.rwth-aachen.de/cms/LearnTech/Forschung/Projekte/~siepo/AIStudyBuddy/?lidx=1
- Research lines: [Prescriptive process analytics and digital twins](https://www.gyunam.com/research-line/prescriptive-process-analytics/index.md)

## Abstract

AIStudyBuddy introduces AI-driven resources and assessments to improve teaching and learning for students and curriculum planners. The AI-enabled study companion gives students targeted assistance, such as setting objectives for a course and generating suggestions to meet them. The companion analytics tool gives curriculum planners dashboards and support for (re)structuring study programmes.

## Outputs

- [Learning recommendations from educational event data in higher education](/publication/2024-jiis-learningrecommendation/)
- [Extracting rules from event data for study planning](/publication/2023-icpm-edupm/)
- [Unlocking learner engagement and performance](/publication/2024-kim-unlocking/)