Abstract
This paper reports on a controlled experiment comparing different approaches on how to guide students through a semester long data science project. Four different methodologies, ranging from a traditional “just assign some intermediate milestones” to other more agile methodologies, are compared. The results of the experiment shows that the project methodology used in the classroom made a significant difference in student outcomes. Surprisingly, an Agile Kanban approach was found to be much more effective than an Agile Scrum methodology, which was not one of the leading ap-proaches.
Original language | English (US) |
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Title of host publication | Proceedings of the 25th European Conference on Information Systems, ECIS 2017 |
Publisher | Association for Information Systems |
Pages | 2939-2948 |
Number of pages | 10 |
ISBN (Electronic) | 9780991556700 |
State | Published - Jan 1 2017 |
Event | 25th European Conference on Information Systems, ECIS 2017 - Guimaraes, Portugal Duration: Jun 5 2017 → Jun 10 2017 |
Other
Other | 25th European Conference on Information Systems, ECIS 2017 |
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Country/Territory | Portugal |
City | Guimaraes |
Period | 6/5/17 → 6/10/17 |
Keywords
- Agile development
- Big data education
- Data science education
- Project management
ASJC Scopus subject areas
- Information Systems