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Studying teacher selection of resources in an ultra-large scale interactive system: Does metadata guide the way?

Abramovich, S and Schunn, C (2012) Studying teacher selection of resources in an ultra-large scale interactive system: Does metadata guide the way? Computers and Education, 58 (1). 551 - 559. ISSN 0360-1315

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Ultra-large-scale interactive systems on the Internet have begun to change how teachers prepare for instruction, particularly in regards to resource selection. Consequently, it is important to look at how teachers are currently selecting resources beyond content or keyword search. We conducted a two-part observational study of an existing popular system called TeachersPayTeachers hypothesizing that 'evaluative metadata' (i.e. comments, ratings, and popularity measures) would drive selection of resources. The first part examined patterns in tens of thousands of sales overall, and the second part focused on patterns of sales in one focal topic that could be expert coded. We find that there are significant gaps in available metadata, that some aspects of metadata are closely associated with sales, and that metadata are weak correlates of expert-determined quality. We conclude by making suggestions for additional research and suggesting how ultra-large scale-interactive systems such as TeachersPayTeachers could be used to improve teacher education. © 2011 Elsevier Ltd. All rights reserved.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Abramovich, S
Schunn, Cschunn@pitt.eduSCHUNN0000-0003-3589-297X
Centers: Other Centers, Institutes, Offices, or Units > Learning Research & Development Center
Date: 1 January 2012
Date Type: Publication
Journal or Publication Title: Computers and Education
Volume: 58
Number: 1
Page Range: 551 - 559
DOI or Unique Handle: 10.1016/j.compedu.2011.09.001
Schools and Programs: Dietrich School of Arts and Sciences > Psychology
Refereed: Yes
ISSN: 0360-1315
Date Deposited: 23 Sep 2014 18:08
Last Modified: 02 Feb 2019 15:56


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