In K-12 computing education, there is a need to identify and teach concepts that are relevant to understanding machine learning technologies. Studies of teaching approaches often evaluate whether students have learned the concepts. However, scant research has examined whether such concepts support understanding digital artefacts from everyday life…

Algorithmic systems such as Learning Analytics (LA) are driving the datafication and algorithmization of education. In this research, we focus on the appropriateness of LA systems from the perspective of parents and students in secondary education. Anchored in the contextual integrity framework (Nissenbaum, "Washington Law Review, 79,"…

Students with extensive support needs (ESN), most of whom are taught in separate settings by special educators without extensive academic preparation, have difficulty making progress in the general education curriculum. Although there is evidence that data-based decision-making improves achievement for a wide range of students, there is little…

Data and computational literacies empower youth to be active participants and future leaders in our increasingly data-driven society. We conducted a design-based research project in which a small group (n = 5) of high school youth from diverse backgrounds learned how to code and create data visualizations and stories with public data about climate…

This manuscript describes the use of real data applied to a fictional real-estate firm for teaching data visualization to university students. In the case study, students employ data analytic techniques in Tableau to clean, organize, and analyze real estate data. By creating visualizations, students address several questions about how selling…

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…

In recent years, there has been growing interest in the use of data-driven learning (DDL) in L2 writing instruction. This paper examined whether and to what extent DDL activities could enhance the writing complexity, accuracy, and fluency (CAF) of 30 Thai EFL learners. The presentation of DDL in this study was hands-on concordancing with the…

Curriculum-based measurement in reading (CBM-R) is a commonly used tool for universal screening and progress monitoring in K-12 education and is one that can add value to decision-making. However, the social validity of this measure among teachers is often questioned. Reasons some teachers have traditionally opposed the use of CBM-R have included…

Out-of-school-time (OST) programs and their funders rely on sound data to make decisions about everything from professional development and student recruitment to the selection of activities to offer students. Programs operate at a range of times (before and after school, weekends, summer) and in a variety of locations (e.g., schools,…

Evidence based decision making is essential for enabling improved student learning. Teacher motivations and beliefs about the types and use of data are critical determinants of decision making. Our research explored the types of data teachers use and consider valuable when measuring improvement in student learning. Findings from 294 teachers from…

Background: K-12 students have experienced increases in the amount of hate crimes and prejudice they encounter. School counselors are well-positioned to reduce oppression in schools, but often lack the means to develop advocacy skills that would do so. Objectives: We implemented the School Counselor Equity Fellowship (SCEF), a yearlong…

The research addresses how post-secondary education can enhance Black student participation in STEM fields, which historically lag behind their White counterparts. Through improvement science, the researchers test the effectiveness of providing scaffolded learning and awareness modules for faculty and staff to enhance curricular design efforts and…

The researchers believe that post-secondary education can provide a greater number of Black students with degrees in the fields of Science, Technology, Engineering, and Math (STEM). Using improvement science, this research aims to test whether providing scaffolded learning and awareness modules around success in STEM programs for faculty and staff…

This mixed-methods sequential explanatory study aimed to evaluate the self-efficacy and anxiety of learning disabilities teachers (LD teachers) regarding data-driven decision-making (DDDM). The initial phase involved surveying 309 LD teachers, followed by in-depth interviews with five participants to gain further insights. The study's second phase…

This paper explores the self-tracking information literacy practices of LGBTQ+ students, how the practices connect to LGBTQ+ identities, and whether these practices are perceived as empowering. Six semi-structured interviews were conducted with students who identified as LGBTQ+ self-trackers. Four previously discovered dimensions of IL in…