Exploring how different project management methodologies impact data science students

Jeffrey Saltz; Robert Heckman; Ivan Shamshurin

Exploring how different project management methodologies impact data science students

Jeffrey Saltz, Robert Heckman, Ivan Shamshurin

School of Information Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

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)
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
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

Cite this

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title = "Exploring how different project management methodologies impact data science students",

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.",

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AU - Heckman, Robert

AU - Shamshurin, Ivan

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AB - 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.

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KW - Big data education

KW - Data science education

KW - Project management

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Y2 - 5 June 2017 through 10 June 2017

ER -

Exploring how different project management methodologies impact data science students

Abstract

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Keywords

ASJC Scopus subject areas

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