Title | ||
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Elaborating data intensive research methods through researcher-practitioner partnerships. |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1145/2883851.2883908 | LAK |
Keywords | Field | DocType |
Data intensive research,researcher-practitioner partnership,learning analytics | Data science,Learning analytics,Computer science,Knowledge management,General partnership | Conference |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mingyu Feng | 1 | 3 | 1.73 |
Andrew E. Krumm | 2 | 34 | 4.96 |
Alex J. Bowers | 3 | 2 | 1.81 |
Timothy E. Podkul | 4 | 1 | 0.69 |