Elaborating Data Intensive Research Methods Through Researcher-Practitioner Partnerships

Item

Title

Elaborating Data Intensive Research Methods Through Researcher-Practitioner Partnerships

Abstract/Description

Technologies used by teachers and students generate vast amounts of data that can be analyzed to provide insights into improving teaching and learning. However, practitioners are left out of the process. We describe the development of an approach by which researchers and practitioners can work together to use data intensive research methods to launch improvement efforts within schools. This paper describes elements of the first year of a researcher-practitioner partnership, highlighting initial findings, challenges, and strategies for overcoming these challenges.

Author/creator

Feng, Mingyu

Krumm, Andrew E.

Bowers, Alex J.

Podkul, Timothy

Date

2016

In publication

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge

Series

LAK '16

Pages

540–541

Publisher

Association for Computing Machinery

Resource type

en Research/Scholarly Media

Resource status/form

en Presentation/Poster

Scholarship genre

en Other

Keywords

data intensive research

learning analytics

researcher-practitioner partnership

Open access/full-text available

en Yes

Peer reviewed

en No

ISBN

978-1-4503-4190-5

DOI

10.1145/2883851.2883908

URL

Official Publisher's Webpage (Association for Computing Machinery)

Citation

Feng, M., Krumm, A. E., Bowers, A. J., & Podkul, T. (2016). Elaborating Data Intensive Research Methods Through Researcher-Practitioner Partnerships. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 540–541. https://doi.org/10.1145/2883851.2883908

Cited in

Measurement for Improvement in Education

Place

New York, NY, USA

Item sets

OB Citations - Measurement for Improvement in Education

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