Research Field: Human Computer Interaction

With its VCS and CI architecture, Artemis supports any programming language for programming exercises. Currently, it includes templates for many popular languages, however templates for a couple of languages is still missing. In this thesis, new templates for programming exercises will be developed and tested with the Bitbucket/Bamboo and Gitlab/Jenkins. In addition, static code analysis should be integrated into more programming exercise templates.

Discussions on Artemis are already context-sensitive in Artemis, however their functionality is still limited. In this thesis, the features would be enhanced based on new functionality. Users should be able to link Artemis content (e.g. videos scenes, exercise tasks, specific lecture slides) in questions. There should be dedicated channels for tutor groups and internal communication (e.g. between instructors and tutors). In addition, the mechanism to prevent post duplication should be enhanced and the search for posts within a course should be improved.

Orion already works for students to participate in programming exercises and for instructors to setup programming exercises, but not yet for the code review of programming exercises by tutors. Inline hints, the support for team based exercises and automatic conflict resolution would be other possible enhancements.

TBA

In this thesis, the learning analytics should be enhanced in Artemis to provide learning paths for students. It should be possible for instructors to define dependencies (prerequisite, consists of, duplicate) between learning goals. This information should be used to build individual paths based on the existing experiences of students and will provide first steps into adaptive learning.