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 approaches.
Saltz, Jeffrey; Heckman, Robert; and Shamshurin, Ivan, (2017). "EXPLORING HOW DIFFERENT PROJECT MANAGEMENT METHODOLOGIES IMPACT DATA SCIENCE STUDENTS". In Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, June 5-10, 2017 (pp. 2939-2948). ISBN 978-0-9915567-0-0 Research-in-Progress Papers.