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The Complexity of Data-Based Decision Making: Evidence From the United States, Norway, New Zealand, and Belgium
Sat, April 10, 4:10 to 5:40pm EDT (4:10 to 5:40pm EDT), SIG Sessions, SIG-Data-Driven Decision Making in Education Paper and Symposium SessionsSession Type: Structured Poster Session
Abstract
This proposed session is based on a special journal issue exploring the complexity and interconnectedness of the many components of data-based decision making (DBDM). The selection of papers represents many countries, theories, methods, and foci. All the papers seek to explicate how data are used at the different levels of the system, ranging from students, teachers, schools, and districts. Together these papers offer a view of the current DBDM landscape, including in- and pre-service professional development, district and school organizational capacity, the data use process (from goal setting to collaborative instructional decision making), and effects on student achievement. The intent of this session is to stimulate future work in terms of impact on research, theory, policy, and practice.
Sub Unit
Chair
Papers
Misconceptions About Data-Based Decision Making in Education: An Exploration of the Literature - Ellen B. Mandinach, WestEd; Kim Schildkamp, Universiteit Twente
Supporting Teachers in Using Evidence on Student Thinking as a Form of Data - Amanda L. Datnow, University of California - San Diego; Marie Lockton, University of California - San Diego; Hayley Ryan Weddle, University of Pittsburgh
Affordances of Narrative and Numerical Data: A Social-Semiotic Approach to Data Use - Henning Fjørtoft, The Norwegian University of Science and Technology; Mei Kuin Lai, The University of Auckland
Implementation of a Collaborative Data Use Model in a U.S. Context - Jo Beth Jimerson, Texas Christian University; Vanessa B. Garry, University of Missouri - St. Louis; Cindy Louise Poortman, University of Twente; Kim Schildkamp, Universiteit Twente
Data-Based Individualization in Mathematics to Support Middle School Teachers and Their Students With Mathematics Learning Difficulty - Sarah Rannells Powell, The University of Texas at Austin; Erica S. Lembke, University of Missouri; Leanne R. Ketterlin-Geller, Southern Methodist University; Yaacov Petscher, The Florida Center for Reading Research
For Squad Members Only! Why Some Teachers Are More Popular to Interact With in Data Use - Roos Van Van Gasse, University of Antwerp; Evelyn Goffin, University of Antwerp; Jan Vanhoof, Antwerp University; Peter Van Petegem, University of Antwerp
Sorting Pupils Into Their Next Educational Track: Transition Decisions Based on Data or Intuition? - Kristin Vanlommel, University of Applied Sciences Utrecht; Roos Van Van Gasse, University of Antwerp; Jan Vanhoof, Antwerp University; Peter Van Petegem, University of Antwerp
A Continuum of Data Literacy for Teaching - Jori S. Beck, Old Dominion University; Diana Nunnaley, Using Data Solutions LLC
Data Use for Equity? How Data Practices Incite Deficit Thinking in Schools - Kara Lasater, University of Arkansas at Fayetteville; Ed Bengtson, University of Arkansas; Waheeb S Albiladi, University of Arkansas at Fayetteville
When Artificial Intelligence Meets Educational Leaders' Data-Informed Decision Making: A Cautionary Tale - Yinying Wang, Georgia State University