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/Entry/Poem › 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

@inproceedings{61342155104949a1b3b6b26dd22c8523,

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.",

keywords = "Agile development, Big data education, Data science education, Project management",

author = "Jeffrey Saltz and Robert Heckman and Ivan Shamshurin",

year = "2017",

month = jan,

day = "1",

language = "English (US)",

pages = "2939--2948",

booktitle = "Proceedings of the 25th European Conference on Information Systems, ECIS 2017",

publisher = "Association for Information Systems",

note = "25th European Conference on Information Systems, ECIS 2017 ; Conference date: 05-06-2017 Through 10-06-2017",

}

TY - GEN

T1 - Exploring how different project management methodologies impact data science students

AU - Saltz, Jeffrey

AU - Heckman, Robert

AU - Shamshurin, Ivan

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

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.

KW - Agile development

KW - Big data education

KW - Data science education

KW - Project management

UR - http://www.scopus.com/inward/record.url?scp=85058023852&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058023852&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85058023852

SP - 2939

EP - 2948

BT - Proceedings of the 25th European Conference on Information Systems, ECIS 2017

PB - Association for Information Systems

T2 - 25th European Conference on Information Systems, ECIS 2017

Y2 - 5 June 2017 through 10 June 2017

ER -

Exploring how different project management methodologies impact data science students

Abstract

Other

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this