Optimization of online education systems with reinforcement learning

At a glance

Project leader : Dr. Claus Horn
Project budget : CHF 15'000
Project status : completed
Funding partner : Innosuisse (Innovationsscheck / Projekt Nr. 58831.1 INNO-ICT)
Project partner : Kikodo Education Technologies Sàrl
Contact person : Claus Horn

Description

The research question we tackle in this project is "Can we simultaneously increase student engagement and retainment by optimizing the order of exercises in online education courses?". To achieve this goal, we develop new algorithms to measure student engagement and retainment. We then evaluate reinforcement learning based approaches to optimize these metrics.

Publications

Imstepf, Nicolas; Senn, Saskia; Fortin, Antonio; Russell, Benjamin; Horn, Claus,

2022.

A learned simulation environment to model student engagement and retention in automated online courses.

arXiv.

Available from: https://doi.org/10.48550/arXiv.2212.14693

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