CHETI:
Learn and understand chemistry with an AI chemistry tutor
CHETI is a platform developed at RPTU for investigating and supporting AI-assisted learning processes in chemistry education.
Redox Reactions
Chemistry • Grade 10
Reaction equation
CHETI AI Tutor
CHETI at a glance
AI-assisted learning support for chemistry education
CHETI combines digital learning modules with a context-aware AI tutor and also serves as a research platform for chemistry education.
- Purpose
- Supporting and investigating AI-assisted learning processes in school chemistry education.
- Subject context
- The topic chat considers the current learning material, the task, and—where available—the learner’s current work.
- Instructional support
- Requests are classified by purpose so that explanation, scaffolded help, and feedback can be handled differently.
- Handling solutions
- For task-related help, a safeguard checks whether a response reveals too much of the stored solution.
Features for Education and Research
AI-Powered Learning Support
Context-aware support within subject-specific learning processes in chemistry education.
Learning Analytics
Collection of selected interactions for analyzing learning progress and usage patterns.
Digital Learning Modules
Modularly structured teaching and learning materials for various subject contexts.
Metacognitive Support
Impulses for reflecting on problem-solving strategies and conscious engagement with learning processes.
Scaffolded Help Systems
Didactically structured hints for task support in complex problem scenarios.
Based on Subject Didactics
Development and evaluation within the framework of university research in chemistry didactics.
Instructional perspective
How does the CHETI topic chat differ from a general AI chat?
The main difference is not the chat interface, but its integration with learning material, tasks, and instructional rules.
| Criterion | CHETI topic chat | General AI chat |
|---|---|---|
| Knowledge basis | Retrieves relevant sections from the current topic’s learning material and provides them as subject-specific context. | Responds primarily from the prompt, conversation history, and the model’s general knowledge. |
| Task context | Can include the task, stored solution, learner’s current work, and the learning section currently in view. | Only knows this information when it is explicitly provided in the conversation. |
| Form of support | Distinguishes, among other modes, between explanation, scaffolded task help, and evaluation of a solution. | The form of support is determined mainly by the user’s prompt and the system’s general instructions. |
| Solution disclosure | In scaffolding mode, checks whether the response reveals substantial parts of the stored solution. | Without a stored task and model solution, it cannot perform this task-specific check. |
| Learning process | Is embedded in learning modules and can relate its support to the learner’s current step. | Without additional integration, remains a conversation separate from the learning material. |
Here, “general AI chat” means a conversation that is not automatically embedded in the specific learning material and the learner’s current work. Individual systems may provide additional functions.
Developed at RPTU
CHETI is being developed at the Rhineland-Palatinate Technical University Kaiserslautern-Landau (RPTU).
Development
- • Dr. Nils Fitting (Project Lead & Development)
- • Research Group of Jun.-Prof. Dr. Seibert
- • Chemistry Didactics
Research Focus Areas
Adaptive AI Systems
In Chemistry Education
Self-Efficacy
Promotion through Adaptive Learning Paths
Interest Promotion
Increasing Subject Interest
Development Status and Research Phases
Alpha Phase
- Core Functionality & AI Integration
- Initial Learning Modules
Pilot Phase
- Integration of Four Models
- Extended System Functions
- Initial Testing
Usability Evaluation
- Analyzing Feedback
- Targeted Interface Improvements
School Field Testing
- Classroom Deployment
- Accompanying Data Collection
Consolidated Platform Version
- Stabilization of Core Functions
- Documentation and Sustainability
Frequently asked questions
Questions about CHETI
Concise answers about the platform’s use, operation, and scientific status.
What is CHETI?
CHETI is a learning and research platform for chemistry education developed at RPTU. It combines digital learning modules, task-related support, and AI-assisted learning guidance.
Who is CHETI intended for?
CHETI is intended for learners and teachers in school chemistry education and for research projects investigating the design and use of AI-assisted learning processes.
How does CHETI differ from a general AI chat?
The topic chat is embedded in a learning module. It can consider relevant learning material, the current task, and the learner’s work, and adapt its support to the identified request.
Does CHETI provide complete solutions?
Task-related help is designed as scaffolded support. In scaffolding mode, the system checks whether responses reveal substantial parts of a stored solution. This does not replace subject-matter review by teachers.
What content does the AI tutor use?
In the topic chat, relevant sections of the respective learning material are retrieved and supplied together with task and conversation context. The standalone chat does not have this curricular grounding.
Has CHETI’s effect on learning already been demonstrated scientifically?
CHETI is currently being developed and piloted. Its architecture is grounded in chemistry education research, but reliable claims about learning effects require empirical studies. CHETI therefore does not claim an already demonstrated effect.
CHETI can be used in school contexts and simultaneously further developed within university research.
Use in classrooms or as part of the research project
Using CHETI for your research? Here you will find the appropriate citation in APA 7 format.
Fitting, N. (2026). CHETI: AI tutor for chemistry [Website]. Rhineland-Palatinate Technical University Kaiserslautern-Landau. https://cheti-ki.de