Building capacity in engineering education research through collaborative secondary data analysis

Marie C. Paretti; Jennifer M. Case; Lisa Benson; David A. Delaine; Shawn Jordan; Rachel L. Kajfez; Susan M. Lord; Holly M. Matusovich; E. Tyler Young; Yevgeniya V. Zastavker

doi:10.1080/22054952.2023.2214462

Building capacity in engineering education research through collaborative secondary data analysis

Marie C. Paretti, Jennifer M. Case, Lisa Benson, David A. Delaine, Shawn Jordan, Rachel L. Kajfez, Susan M. Lord, Holly M. Matusovich, E. Tyler Young, Yevgeniya V. Zastavker

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This paper proposes the use of collaborative secondary data analysis (SDA) as a tool for building capacity in engineering education research. We first characterise the value of collaborative SDA as a tool to help emerging researchers develop skills in qualitative data analysis. We then describe an ongoing collaboration that involves a series of workshops as well as two pilot projects that seek to develop and test frameworks and practices for SDA in engineering education research. We identify emerging benefits and practical challenges associated with implementing SDA as a capacity building tool, and conclude with a discussion of future work.

Original language	English (US)
Pages (from-to)	8-16
Number of pages	9
Journal	Australasian Journal of Engineering Education
Volume	28
Issue number	1
DOIs	https://doi.org/10.1080/22054952.2023.2214462
State	Published - 2023
Externally published	Yes

Keywords

Qualitative research
research methods
secondary data analysis

ASJC Scopus subject areas

Education
General Engineering
Human-Computer Interaction

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10.1080/22054952.2023.2214462

Cite this

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title = "Building capacity in engineering education research through collaborative secondary data analysis",

abstract = "This paper proposes the use of collaborative secondary data analysis (SDA) as a tool for building capacity in engineering education research. We first characterise the value of collaborative SDA as a tool to help emerging researchers develop skills in qualitative data analysis. We then describe an ongoing collaboration that involves a series of workshops as well as two pilot projects that seek to develop and test frameworks and practices for SDA in engineering education research. We identify emerging benefits and practical challenges associated with implementing SDA as a capacity building tool, and conclude with a discussion of future work.",

keywords = "Qualitative research, research methods, secondary data analysis",

author = "Paretti, {Marie C.} and Case, {Jennifer M.} and Lisa Benson and Delaine, {David A.} and Shawn Jordan and Kajfez, {Rachel L.} and Lord, {Susan M.} and Matusovich, {Holly M.} and Young, {E. Tyler} and Zastavker, {Yevgeniya V.}",

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year = "2023",

doi = "10.1080/22054952.2023.2214462",

language = "English (US)",

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TY - JOUR

T1 - Building capacity in engineering education research through collaborative secondary data analysis

AU - Paretti, Marie C.

AU - Case, Jennifer M.

AU - Benson, Lisa

AU - Delaine, David A.

AU - Jordan, Shawn

AU - Kajfez, Rachel L.

AU - Lord, Susan M.

AU - Matusovich, Holly M.

AU - Young, E. Tyler

AU - Zastavker, Yevgeniya V.

PY - 2023

Y1 - 2023

N2 - This paper proposes the use of collaborative secondary data analysis (SDA) as a tool for building capacity in engineering education research. We first characterise the value of collaborative SDA as a tool to help emerging researchers develop skills in qualitative data analysis. We then describe an ongoing collaboration that involves a series of workshops as well as two pilot projects that seek to develop and test frameworks and practices for SDA in engineering education research. We identify emerging benefits and practical challenges associated with implementing SDA as a capacity building tool, and conclude with a discussion of future work.

AB - This paper proposes the use of collaborative secondary data analysis (SDA) as a tool for building capacity in engineering education research. We first characterise the value of collaborative SDA as a tool to help emerging researchers develop skills in qualitative data analysis. We then describe an ongoing collaboration that involves a series of workshops as well as two pilot projects that seek to develop and test frameworks and practices for SDA in engineering education research. We identify emerging benefits and practical challenges associated with implementing SDA as a capacity building tool, and conclude with a discussion of future work.

KW - Qualitative research

KW - research methods

KW - secondary data analysis

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Building capacity in engineering education research through collaborative secondary data analysis

Abstract

Keywords

ASJC Scopus subject areas

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