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Title:Supporting teachers' data use for instructional improvement: The role of learning performance management systems and professional learning context
Author(s):Gandha, Tysza
Director of Research:Ryan, Katherine E.
Doctoral Committee Chair(s):Ryan, Katherine E.
Doctoral Committee Member(s):Hood, Stafford; Schwandt, Thomas A.; Trent, William T.
Department / Program:Educational Psychology
Discipline:Educational Psychology
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Teachers' data use
data-based decision making in schools
instructional decision making
learning performance management system
data management system
Abstract:Teachers are increasingly expected to use data in systematic and scientific ways to make class- and school-level decisions (Kowalski, Lasley, & Mahoney, 2008). Despite great optimism and substantial investments in data use initiatives, recent studies (e.g., Carlson, Borman, & Robinson, 2011) found weak relationships between data use supports, teachers’ data use, and improved teaching and learning. This multiple-methods study used questionnaire data from a statewide sample of teachers (n=1422) to examine key school conditions—technological data management tools and professional learning community context—that purportedly support teachers’ data use. Qualitative methods (observations, interviews, and focus groups) were also employed at one school site to explore influences and consequences of data use. Statistical analysis showed that comprehensive learning performance management systems and professional learning communities support teachers’ data use, but school conditions are only part of the picture. Qualitative findings illustrated the ways in which teachers’ beliefs (e.g., about low-income minority students), knowledge (e.g., about effective instruction), and motivation (e.g., understanding of role and responsibility) drive the extent to which they use data. More importantly, their beliefs, knowledge, and motivation also shape how teachers interpret data and make decisions (e.g., whether learning problems require classroom changes, interventions for certain students, or non-instructional responses). This study challenges the common conceptualization of teachers’ data use as a techno-scientific process that can be mechanized with the right organizational conditions. Findings suggest that data use is better understood as interpretive acts, inevitably shaped by individual and groups of people with particular beliefs, knowledge, and motivation. While tools, methods, and procedures have some value for enhancing data use, they do not guarantee improved educational quality and equity. Data use initiatives need to support educators in interpreting data critically and making good professional judgments specific to their school, community, and classroom contexts.
Issue Date:2014-05-30
URI:http://hdl.handle.net/2142/49838
Rights Information:Copyright 2014 Tysza Gandha
Date Available in IDEALS:2014-05-30
2016-09-22
Date Deposited:2014-05


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