Description
Hackathons and similar time-bounded events have become a global phenomenon with thousands of individuals participating in hundreds of events every weekend. They are organized by corporations, (higher) education institutions, civic engagement groups, (online) communities and others with the aim to create innovative technologies, tackle civic, environmental and public health issues, spread knowledge and expand communities. Despite their widespread adoption organizers often still struggle to answer seemingly simple questions such as “How did participants like my hackathon?”, “Did they achieve what they wanted to achieve?” and “How does my hackathon compare to other similar events?”. There are existing survey instruments that can help organizers answer these questions. These instruments are however not widely accessible, sometimes time-consuming to set up, and they do not allow them to compare their hackathon to other (similar) events.
The aim of this Praxisproject is to develop a web-based application for hackathon organizers to (1) run a survey for their event, (2) provide basic statistics and (3) compare their hackathon to similar events. For this, you will utilize existing survey scales and an existing database of survey responses. The application itself will be built on common survey tools such as GoogleForms, Qualtrics or Limesurvey and will be embedded into an existing website for hackathon organizers.
Students can pre-register (self-enrol) for the project on Moodle (https://moodle.uni-due.de/course/view.php?id=33329) using the enrollment key: HackTrack2022
For registrations a first-come / first-served policy will be followed
Mandatory meetings: Tuesday, 14:00 – 16:00 (weekly)
First meeting: Tuesday, 19.04.2022
Grading: individual grades (presentations, project phase, contributions to the meetings) + group results (project results, report)
Requirements: Python (Grundlegende Programmiertechniken)
Participants' background: Komedia and AI Bachelor and Masters curricula.
Learning mode: Hybrid Blended-Learning |
