AI Simulation button for TinyMCE
Insert interactive machine learning simulations into any Moodle text, without writing HTML.
Live demo: try the plugins on aisim.tsp.edu.rs. Log in as a guest, or use the demo accounts teacher (to try this editor button) and student, password Demo-2026. Everything is reset every night. The simulations alone, without Moodle: sim.aiforvet.eu.
What's new in 1.0.0
- Stable release: all thirteen simulations in the dialog, with a live preview.
- Four new simulations: logistic regression, cross-validation, data preparation and the recurrent neural network.
Features
- Button and menu item: an AI Simulation button in the editor toolbar and an entry in the Insert menu, in every editor on the site.
- Thirteen simulations: gradient descent, confusion matrix, polynomial regression, k-NN and decision tree, k-means, perceptron and neural network, convolution (image filters), Q-learning, data split and bias, logistic regression, cross-validation, data preparation, and the recurrent neural network.
- Settings in a dialog: the scenario or dataset and the starting values of each simulation, such as the threshold, learning rate, polynomial degree, k, tree depth, hidden layers, kernel or exploration rate, with a live preview.
- Edit again: double-click an inserted simulation to open the dialog with its current settings.
- Read-only mode: lock the controls when a simulation only shows a fixed example in a lecture.
- Safe in the text: the simulation is a protected card in the editor, so typing around it cannot break its settings.
- Translatable: all texts are language strings and can be translated in AMOS.
The AI simulation plugins
Requirements
- Moodle: 4.5 LTS to 5.3, with the TinyMCE editor.
- filter_aisim: installed and enabled, so that the inserted simulations run for readers.
Privacy
The plugin stores no personal data and sends nothing to external services; it implements the Moodle Privacy API. The simulation settings are saved in the text as data attributes.
About
Developed in the Erasmus+ project AI for VET for vocational schools. A teacher guide in English, Serbian, Slovak and Portuguese is in the GitHub repository. Source code, issues and the changelog are there as well.
