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…

Use and analysis of, and reflection on, qualitative and quantitative data helps illuminate the journey of professional learning for educators and students. This article describes methods to provide reflective space for administrative teams to listen to stakeholders' stories and consider additional support they can put in place to help their staff…

Continuous improvement (CI) methods are growing in popularity around the world as approaches to leadership and educational change. There has been particular interest in using CI methods such as collaborative data inquiry to address racial inequities in schools. But these 'wicked' problems are, in many ways, more complex and uncertain than the…

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,…

Teacher classroom teaching behavior indicators serve as a crucial foundation for guiding instructional evaluation. Existing indicator system suffers from limitations such as strong subjectivity and weak contextual generalization capabilities. Generalized category discovery (GCD) enables automatic data clustering to identify known categories and…

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 are fundamental to Learning Analytics (LA) research and practice. However, the ethical use of data, particularly in terms of respecting learners' privacy rights, is a potential barrier that could hinder the widespread adoption of LA in the education industry. Despite the policies and guidelines of privacy protection being available worldwide,…

Background: There is growing recognition in the education sector of the critical role empirical data plays in aiding strategic decision-making and supporting personalised learning. The call for increased and more nuanced data-driven decision-making has been primarily addressed by the institutional use of student learning dashboards and learner…

Higher education leaders face growing pressure to demonstrate the return on investment (ROI) of not only their institution but also each academic program offering. With increasing accountability and limited time for meaningful reflection on student learning and development, now is the time to rethink how a quasi-annual academic program review…

This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…

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…

History shows that learning and collaborative inquiry are the path forward. Continuous improvement can produce great thinking and learning that enables the continuation to support the most vulnerable children. Civil rights organizers, such as Septima Clark, are viewed as model improvers. Regarded by many as the queen of the Civil Rights Movement,…

Multivariate Functional Principal Component Analysis (MFPCA) is a valuable tool for exploring relationships and identifying shared patterns of variation in multivariate functional data. However, interpreting these functional principal components (PCs) can sometimes be challenging due to issues such as roughness and sparsity. In this dissertation,…

Big Data offers opportunities and challenges in all aspects of human life. In relation to research ethics, Big Data represents a normative difference in degree rather than a difference in kind. Data are more messy, rapid, difficult to predict, and difficult to identify owners; but the principles of informed consent, confidentiality, and prevention…