Heymans AI tutor
Copyright 2024-2026 Sebastiaan Mathôt (@smathot), Wouter Kruijne (@wkruijne), University of Groningen
Heymans AI tutor is a Python library and web app for LLM-based teaching tools. The initial focus will be on automated grading of open exams and interactive quizzes.
Dependencies
For Python dependencies, see pyproject.toml. Python 3.10 or later is required. In addition to these, a local redis server needs to run for persistent data between sessions. pandoc needs to be installed for generating invidual feedback reports.
Using as Python library
See example/heymans-brightspace-example.py for an example of how to grade an open-ended exam. This example assumes that you're using the Brightspace learning environment. The example folder also contains example output that is generated during grading.
Running as web server (development)
Download the source code, and in the folder of the source code execute the following:
pip install . # install dependencies
python app.py # start the app
Next, access the app (by default) through:
http://127.0.0.1:5000/app/quiz
License
Heymans is distributed under the terms of the GNU General Public License 3. The full license should be included in the file COPYING, or can be obtained from:
Metadata
Release files for heymans 0.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| heymans-0.5.1.tar.gz | 181.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| heymans-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 387.0 kB
Release files / heymans-0.5.1.tar.gz
| Download URL | heymans-0.5.1.tar.gz |
|---|---|
| Size | 181.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / heymans-0.5.1-py3-none-any.whl
| Download URL | heymans-0.5.1-py3-none-any.whl |
|---|---|
| Size | 205.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/6.2.0 CPython/3.9.25
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