Involving Teachers in Data-Driven Decision Making: Using Computer Data Systems to Support Teacher Inquiry and Reflection

By J. Wayman. 2005

296 citations recorded by the source corpus.

Subfields: Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/77a1334b9fffa814578499066f2b3c64b8a57c59

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In Information Systems and Management

Citations in the corpus

Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief (2012, background): “The vision that data can be used by educators to drive instructional improvement and by students to help monitor their own learning is not new (e.g., Wayman 2005).”
What teachers think about what they can do with data: Development and validation of the data driven decision-making efficacy and anxiety inventory (2013, background): “Additionally, teachers’ limited knowledge of statistics, data systems, and relevant DDDM tools (Volante & Fazio, 2007; Wayman, 2005) as well as low levels of confidence with regard to engaging in DDDM present daunting obstacles to implementation of DDDM practices, particularly when attempting to imp”
Teaching to address diverse learning needs: development and validation of a Differentiated Instruction Scale (2013, background): “In this regard, recent studies have suggested that technology is needed to collect, manage, and analyse students’ data effectively (Macintyre and Ireson 2002; Wayman 2005; Ysseldyke and McLeod 2007).”
Multi-level model of contextual factors and teachers’ assessment practices: an integrative review of research (2015, background): “…have focused on helping teachers to use classroom assessments that emphasise learning over accountability mandates (e.g. Shepard, 2000), while others have focused on helping teachers to understand and use accountability-driven assessment data to inform their teaching (e.g. Wayman, 2005).”
Teacher Learning, Instructional Considerations and Principal Communication: Lessons from a Longitudinal Study of Collaborative Data Use by Teachers (2011, background): “…conditions and leadership practices that support or impede the development of various data practices by teachers (Supovitz and Klein, 2003; Wayman, 2005; Young, 2006; Firestone and Gonzalez, 2007; Ikemoto and Marsh, 2007; Hamilton et al., 2009; Weinbaum, 2009; Anderson et al., 2010; Blanc…”
A Perfect Time for Data Use: Using Data-Driven Decision Making to Inform Practice (2012, methodology): “Emerging technologies can help (Wayman, 2005a, 2007).”
Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors. (2010, background): “…management system and technology (Breiter & Light, 2006; Chen et al., 2005; Datnow, Park, & Wohlstetter, 2007; Kerr et al., 2006; Sharkey & Murnane, 2006; Wayman, 2005; Wayman & Stringfield, 2006a, 2006b; Wayman et al., 2007; Wohlstetter et al., 2008) may be crucial for effective data use.”
Using Student Achievement Data to Support Instructional Decision Making (2009, background): “Wayman, Cho, and Johnston (2007) recommend revisiting the plan frequently.”
School Formative Feedback Systems (2010, background): “The press for raising student test scores has led many schools to reframe school instruction and information systems (Honey et al. 2005; Sharkey & Murnane, 2006; Wayman, 2005; Yeh, 2005).”
A Systemic View of Implementing Data Literacy in Educator Preparation (2013, background): “Wayman (2005, 2007) identifies four main types of systems: data warehouses, student information systems, instructional management systems, and assessment systems.”