Digital education
CS411 - https://moodle.epfl.ch/course/view.php?id=14248
Our project hosted at https://neuralnet.stergios.ch

Project - Kyoto, baby
AI-assisted learning for neural networks.
Core idea: 
Learning goals: 
Students will be able to implement neural network concepts. 
Research question:
How AI-assisted interactive visualisation of neural networks improve student learning performance?
Would learning platform with AI feedback and instructions enhance stduent learning performance?
Task Analysis:
https://playground.tensorflow.org/ clone with specific targets.
Experimental Group (A): Users get AI assistance for the first 10 examples (clipy style), then they have 5 test cases without AI.
Control Group (B): Users get 10 test examples they need to optimise for, with generic rules of how different parameters affect performance, then 5 test cases
Recruitment plan: 
Master's student (Michalis's)
Master EPFL student (Mauro's)  ---> Isna need to asked first
We record (everything, but we focus on):
Performance on the 5 test questions (complexity vs performance) and speed
Engagement between clicks
If Michalis approves -> performance on the NN assignment (post-intervention performance)
Self-assessment survey: AI literacy, Intrinsic motivation