Formal achievement data such as test scores and school performance feedback from standardised assessments can be a powerful tool for data-based decision making and school improvement. However, teachers' and school leaders' usage of these data is not necessarily straightforward or predictable. In order to illuminate how educational professionals…

Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many advantages that educational institutions can achieve. Along these lines, various data mining techniques have been used to improve learning outcomes by exploring large-scale data that…

The continuous development of Educational Data Mining (EDM) and Learning Analytics (LA) technologies has provided more effective technical support for accurate early warning and interventions for student academic performance. However, the existing body of research on EDM and LA needs more empirical studies that provide feedback interventions, and…

The tremendous growth of educational institutions' electronic data provides the opportunity to extract information that can be used to predict students' overall success, predict students' dropout rate, evaluate the performance of teachers and instructors, improve the learning material according to students' needs, and much more. This paper aims to…

This study has three primary objectives. First to provide insight into possibilities for moderation/mediation analysis in education research by discussing analytical methods based on the counterfactual and developed in other disciplines. Second is to highlight specific issues related to mediation and the estimation of effects when the outcome is…

This study examines administrator perceptions of Pennsylvania's state assessment data. This study had three main purposes. The first purpose was to investigate the value and utility of state assessment data to inform decision making and the possibility of improving student achievement through the routine use of state assessment data. The second…

This study attempts to predict secondary school students' performance in English and Mathematics subjects using data mining (DM) techniques. It aims to provide insights into predictors of students' performance in English and Mathematics, characteristics of students with different levels of performance, the most effective DM technique for students'…

Data is so deeply woven into the fabric of people's lives that it is next to impossible to imagine what a data-free life would be like. But despite the centrality of data in everyone's personal lives, when people talk about data in schools, their comments are often negative. The authors of this article believe "data" should not be a…

The tremendous growth in electronic educational data creates the need to have meaningful information extracted from it. Educational Data Mining (EDM) is an exciting research area that can reveal valuable knowledge from educational databases. This knowledge can be used for many purposes, including identifying dropouts or weak students who need…

Higher education institutions have prioritized supporting undecided students with their major and career decisions for decades. This study used a U.S. public research-focused university's large-scale institutional data set and undecided student's retention and graduation rate predictors to demonstrate how to couple student and institutional data…

Even under ideal conditions, teaching is tough work. Facing unrelenting pressure from administrators and parents and caught in a race against time to improve student outcomes, educators can easily become discouraged (or worse, burn out completely) without a robust coaching system in place to support them. For more than 20 years, perfecting such a…

This Assessment News article introduces readers to a statistical approach to making sense of student assessment data in order to help teachers understand whether or not changes in practice have made a difference to learning. It Worked! is the brainchild of Darcy Fawcett, HoD Science at Gisborne Boys' High School, and Across-School Teacher for the…

As American public education becomes increasingly technology-based, multiple new data sources become accessible for educators to better understand student learning processes. Novel data analysis applications became necessary during severe disruptions due to the COVID pandemic. This case study highlights a novel method for identifying high school…

Data walls are a data use practice increasingly being adopted in western, Anglophone countries to display student academic achievement data. The purpose of data walls is to improve teaching and learning by helping teachers and/or students to identify patterns of growth and achievement, set goals, and plan instructional interventions or…

The growing divides across the educational spectrum all underscore the need to change systems to promote the talents and success of every student, particularly those who are racially minoritized or poverty-impacted within a state. Enacting a process to establish policy that addresses the needs of these student groups can help create the conditions…