This manuscript focuses on the role of data analytics in mediating how teachers make sense of racial and gender inequity in patterns of student participation in their classrooms. Five middle school mathematics teachers participated in a year-long professional development program, centered on data analytics generated by the EQUIP observation tool.…

U.S. middle school teachers have struggled to meet the instructional needs of students in the area of mathematics. Teachers' approaches to assessment and instructional strategies remain understudied; such knowledge could help educational leaders to devise strategies to boost student achievement. The purpose of this qualitative study was to examine…

Purpose: There is little consensus in the literature regarding a) what it means for a school leader to lead with data, and b) how to measure data-informed leadership in a reliable and valid way. This study examines the psychometric properties of an operational measure intended to assess the extent to which a school leader is a data-informed school…

Using evidence of student thinking and performance is crucial to enacting ambitious science teaching because intimate, formative data can be responsive to student ideas about science. However, narratives and policies about assessment and data use do not always position teachers to draw on the breadth and variety of evidence from the classroom to…

To prepare their students to navigate online information about current issues, teachers must be able to critically read a range of diverse and complex data visualizations. This study presents findings from task-based interviews with 25 social studies teachers on their instructional beliefs about the use of diverse data visualization types. In the…

In this study, 82 middle and high school teachers engaged with the InSTEP online professional learning platform to develop their expertise in teaching data science and statistics. We investigated teachers' engagement within the platform, aspects of the platform that were most and least effective in building teachers' expertise, and the extent to…

Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…

The purpose of this case study was to examine one school district's 8th grade mathematics teachers' perceptions, analysis of, and use of their own students' formative interim data. Research has shown that teachers have difficulty with data literacy, and are not getting the trainings they need. Unfortunately, this may arise from the fact that a…

Background: Data storytelling is an interdisciplinary practice that uses visual and narrative elements to engage an audience with data. Students need more opportunities across school curriculum to consider the connections between data and social and environmental contexts. Few studies have investigated how to support teachers in co-designing for…

Context: The pervasiveness of deficit-based discourses about multilingual students has long been documented in the scholarly literature. Such discourses severely erode the learning and well-being of multilingual youth. One of the spaces in which deficit-based discourses about students may be transformed is professional development. Focus of the…

This action research takes place at a small, New England public school system in Hopkinton, MA, and was designed to build the capacity of educators by utilizing a cycle of inquiry to improve Data-Driven Decision Making. The action steps of this study established a building-based Student Learning Team at Hopkinton Middle School which, in…

Large-scale summative assessment results are typically used for program-evaluation and resource-allocation purposes; however, stakeholders increasingly desire results from large-scale K-12 assessments that inform instruction. Because large-scale summative results are usually delivered after the end of the school year, teacher use of results is…

Motivation and engagement are often barriers to literacy for adolescent readers. Traditionally, the graphic novel has been seen as easy to read and a resource that only has value for students with language difficulties or learning challenges. This qualitative case study investigated how middle school readers' ability to make meaning contributed to…

Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…

The use of mobile devices is increasing rapidly as a potential tool for science teaching. In this study, five educators (three middle school teachers and two museum educators) used a mobile application that supported the development of a driving question. Previous studies have noted that teachers make little effort to connect learning experiences…