The increasing demand for privacy-preserving, ethically aligned synthetic data generation in education has highlighted the limitations of existing tabular data generators. Traditional approaches often sacrifice fairness or privacy in pursuit of predictive accuracy, rendering them unsuitable for high-stakes academic settings. In this paper, we…

Data mining has been successfully and widely utilized in educational information systems, and an important research field has been formed, which is educational data mining. Process mining inherits the characteristics of data mining which can not only use historical data in the system to analyze learning behavior and predict academic performance,…

This paper proposes a conceptual framework enabling the development and adoption of descriptive, diagnostic, predictive and recommendatory data analytics in teacher professional learning by harnessing some of the affordances of digital technologies to convert data into actionable insights. The paper argues for a technology-enhanced approach that…

This exploratory qualitative study examined how instructional designers use data to make decisions during the instructional design process. Participants included full-time instructional designers (n = 9) who were involved in one or more phases of the ADDIE (Analysis, Design, Development, Implementation, Evaluation) across different job sectors,…

Author Jason Williams develops a framework that balances data-based decision making with a deep consideration for addressing students' unique needs to foster improved learning outcomes. Focusing on five qualities integral to a healthy data culture, Williams offers educators a simple, reliable way to assess and reconsider their data practices to…

This study focuses on describing data based school management processes in Türkiye, Spain and Romania. The study group consists of 49 participants. Maximal variation and stratified sampling were applied. For internal trustworthiness, respondent validation, data triangulation and cross check were utilized. For transferability, 'expert opinions' and…

The Nebraska Statewide Workforce & Educational Reporting System (NSWERS) is a state longitudinal data system (SLDS) that coordinates data sharing, processing, and dissemination efforts across the Nebraska public school systems, Nebraska community colleges, the University of Nebraska system, the Nebraska Department of Labor, and other statewide…

To improve and facilitate the acquisition of learning outcomes, teachers often use innovative teaching methods such as gamification to keep students' attention and increase their motivation. In recent years, the use of educational data mining (EDM) methods to explore academic topics has increased. With the expansion of EDM, a gap in the literature…

The IPEDS Finance survey is a key resource for academic research, policy analysis, and efforts to improve transparency and accountability. However, the data from the survey can be difficult to use properly. This research note addresses a specific challenge: how to incorporate the $16 billion in revenues and expenditures reported annually within…

The purpose of this article is to offer both theoretical and practical support to evaluation professionals preparing to facilitate the utilization phase of evaluation with a program or organization team. The Systems Evaluation Protocol for Participatory Data Use (SEPPDU) presented here is rooted in a partnership approach to evaluation and is…

"Pathways to Implementation" highlights innovative strategies and effective models in career pathways policy, implementation, and programming, as well as challenges states encounter in this work. This seven-part series addresses the key elements of Bellwether's framework for career pathways policy implementation. Each brief defines the…

Despite the increasing availability of data used to inform educational policies and practices, concerns persist regarding its quality and accessibility. This study surveys quality education data from Brazil, Colombia, and Peru and evaluates their alignment with the FAIR principles and availability to support academic analytics (AA) and learning…

This study focuses on the construction of the learner-centered teaching college English teaching mode under big data technology. Traditional college English teaching has issues, such as standardized teaching ignoring individual differences and lagging feedback. However, the development of big data technology offers opportunities for teaching…

Eye tracking has taken hold in second language acquisition (SLA) and bilingualism as a valuable technique for researching cognitive processes, yet a comprehensive picture of reporting practices is still lacking. Our systematic review addressed this gap. We synthesized 145 empirical eye-tracking studies, coding for 58 reporting features and…

In the boxplot, the box always represents -- regardless of its area -- the middle half of the data and thus a measure of variability (interquartile range). However, when students first learn about boxplots, they are usual already familiar with other forms of statistical representations (e.g., bar or circle graphs) in which a larger area represents…