PhD position: Graduate Assistant in Learning Technologies
Learning technologies to support students while they learn how to code
Programming skills are becoming fundamental in many curricula. The latest trends in teaching students how to code indicate that students learn best when they can ‘learn by doing’. This is why in the recent year we have seen an explosion of technologies designed to provide learning environments where students can experiment with code in real time. An example of this is the Jupyter project. Although these environment allow students to experiment and manipulate with code they are still far from being perfect. One of the lacking aspect is the lack of support for peer programming. The successful candidate will research enhancements for this learning environments and their effects on the learning outcomes.
The successful candidate will be supervised by Prof. Thibault Estier and by Prof. Mauro Cherubini.
Master Thesis Topics
Persuasive Security and Privacy(Taken) Persuasive effect of privacy recommendations in consensual sharing of multimedia content(Taken) Nudging unemployed people to easen transition in between jobs(Taken) Determining the reasons behind adoption of and adherence to healthy eating apps(Taken)
Master Thesis Done at the Lab