Data-Driven Decision-Making: Facilitating Teacher Use of Student Data to Inform Classroom Instruction
ARTICLE
Catherine Schifter, Temple University, United States ; Uma Natarajan, University of Massachusetts, Boston, United States ; Diane Jass Ketelhut, University of Maryland, United States ; Amanda Kirchgessner, Temple University, United States
CITE Journal Volume 14, Number 4, ISSN 1528-5804 Publisher: Society for Information Technology & Teacher Education, Waynesville, NC USA
Abstract
Data-driven decision making is essential in K-12 education today, but teachers often do not know how to make use of extensive data sets. Research shows that teachers are not taught how to use extensive data (i.e., multiple data sets) to reflect on student progress or to differentiate instruction. This paper presents a process used in an National Science Foundation (NSF) funded project to help middle-grade science teachers use elaborate and diverse data from virtual environment game modules designed for assessment of science inquiry. The NSF-funded project dashboard is presented, along with results showing promise for a model of training teachers to use data from the dashboard and data-driven decision making principles, to identify science misunderstandings, and to use the data to design lesson options to address those misunderstandings.
Citation
Schifter, C., Natarajan, U., Ketelhut, D.J. & Kirchgessner, A. (2014). Data-Driven Decision-Making: Facilitating Teacher Use of Student Data to Inform Classroom Instruction. Contemporary Issues in Technology and Teacher Education, 14(4), 419-432. Waynesville, NC USA: Society for Information Technology & Teacher Education. Retrieved August 12, 2024 from https://www.learntechlib.org/primary/p/148436/.
© 2014 Society for Information Technology & Teacher Education
Cited By
View References & Citations Map-
Using data to support instructional decision making: Designing a progress monitoring system to use with students who are Deaf or Hard of Hearing
Simon Hooper, Penn State University, United States; Susan Rose, University of Minnesota, United States; Rayne Sperling, Penn State, United States
Society for Information Technology & Teacher Education International Conference 2018 (Mar 26, 2018) pp. 1503–1510
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