This study investigates how 11- to 12-year-old students construct data-based decision trees using data cards for classification purposes. We examine the students' heuristics and reasoning during this process. The research is based on an eight-week teaching unit during which students labeled data, built decision trees, and assessed them using test…

The ability to make criteria-based and thought-out decisions in everyday life as well as to answer questions pertaining to society at large, such as those regarding climate change and the loss of biodiversity, is becoming more and more important against the backdrop of an increasingly complex world with a wide range of options for action or…

The American School Counselor Association (ASCA) calls on school counselors to take part in collaborative work experiences using data to address problems of practice. School counselors experience professional isolation leading to underperformance (Elliot et al., 2004; Stone-Johnson, 2015). School structures that lack collaborative experiences for…

Schools now face considerable pressure to be using educational data to inform decision-making and become more efficient. Key to this rise of the 'data-driven' school is the increased use of digital technologies -- with computer-based data processing fuelling hopes for the technology-driven 'smart schooling' and a general 'datafication' of…

Accountability has pushed principals to use data to drive and inform decisions in schools to positively impact student achievement. Research has shown that principals are the second most important impact on student achievement, second only to teachers. Principals who can lead change in schools based on data driven response have a positive impact…

College and career readiness is crucial to success in postsecondary education, employment, and independent living. The College and Career Readiness for Transition (CCR4T) assessment is valid and reliable and can assist in transition planning for students with disabilities. The CCR4T assessment was designed for planning with students with and…

The purpose of this small case-study is to gain an in depth understanding of how secondary school teachers perceive that data walls impact their teaching practices and subsequently, students' learning and growth. By drawing on a conceptual model of evidence-informed practice (EIP), this case study examined responses from secondary school teachers…

Background: Emotions are inherently intertwined with learning and disciplinary identity, and this relationship demands that teachers attend and respond to students' emotions. In this study, we forward a theory that the development of "pedagogical empathy," or the capacity to understand the implications of student emotions and use…

People need access to data to make decisions about post-high school experiences, including postsecondary education. Policymakers need to better understand how financial circumstances relate to college enrollment and completion. And students and their families need information about how much financial aid they may have access to for financing their…

Purpose: Drawing on Coburn and Turner's framework for research on data use, this study looks at how contextual factors support interactions around data. In so doing, the authors contribute to the emerging body of literature on administrators supporting high school students' social-emotional learning (SEL). Design/methodology/approach: This…

Decision-making is key for teaching, with informed decisions promoting students and teachers most effectively. In this study, we explored data-driven decision-making processes of K-12 teachers (N = 302) at times of emergency remote teaching, as experienced during the COVID-19 pandemic outbreak in Israel. Using both quantitative and qualitative…

This article examines digital data use within three Australian secondary schools, drawing on in-depth interviews with 50 school staff to explore tensions between: (i) established logics of "data-driven" schooling; and (ii) emerging "datafied" practices associated with digital systems, platforms and devices. Using sociological…

Data-based individualization (DBI) is a framework that allows educators to make timely and informed decisions about student progress in academics or behavior. In this article, we focus on the DBI framework as applied to math intervention within a tiered support model for students experiencing math difficulty. We review how DBI starts with an…

This qualitative case study explored how educators in a high-poverty, urban public high school used student achievement data to inform instruction. The sample consisted of one principal, five counselors, and ten teachers across multiple departments in a Los Angeles County high school recognized for its data-driven practices and collaborative…

This manuscript presents an exploratory mixed-methods case study examining the impact of artificial intelligence (AI) in the form of generative pretrained transformers (GPTs) and large language models on special education administrative practices in one school district in the Northeast United States. AI holds tremendous potential to positively…