Whilst technology may have been the 'saviour' of HE from the immediate challenges of the pandemic, the opportunistic dialogue emerging in response is imbued with notions of the pandemic as a catalyst for change. Empowered by the apparent success of technology's deliverance, the door has been opened to unprecedented investment into a pervasive and…

Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify…

Statistics Canada releases data on the labour market outcomes of college and university graduates using data from the Education and Labour Market Longitudinal Platform (ELMLP). Statistics Canada has developed the ELMLP in collaboration with the provincial and territorial ministries of education, Employment and Social Development Canada (ESDC), and…

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,"…

"Learning-Focused Supervision: Developing Professional Expertise in Standards-Driven Systems" is a practical guide for instructional supervisors at any level. With real-world examples, QR-linked videos, and actionable strategies, this updated second edition aligns supervision with today's educational trends, elevating teacher…

Speculative reform jumps the gun on notions of data-driven reform, requiring administrators to anticipate and act to ensure problems (and the data that would show them) do not materialize. Speculative reforms are incapable of delivering the outcomes they promise, as they are fueled by a fear of the future that their reforms do not extinguish. In…

Undergirded by "economic theory of the principal-agent problem", the study investigated secondary school teachers' perception of the influence of large-scale testing accountability on teaching and learning. Cross-sectional survey design was used. Simple random sampling was also employed to select 200 teachers for this study. The…

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…

Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…

The purpose of this project is to explore the limitations of federal postsecondary data as data as those data relate to Indigenous students and to Tribal Colleges and Universities. After first establishing some of the statistical limitations we commonly find in postsecondary data with Indigenous students, we provide strategies and practices that…

This guide by DaSy, NCPMI, and ECTA provides cross-sector teams at the state, territory, tribal, and local levels with strategies for collecting and using data across the mixed delivery system of early care and education programs. Collecting and analyzing qualitative and quantitative data can help inform teams to develop policy and practices that…

Strategy and research are essential parts of strategic enrollment management (SEM), yet little information exists regarding how to use research and predictive analytics for effective strategy. It is often easier to react to what is happening in the moment, rather than be proactive in predicting the future or developing long-term plans. This…

Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…

Educational games help reinforce educational concepts. They help students learn through hypothesizing, probing, and reflecting upon the game environment. Understanding the impact of a game is important before deploying it in a class. Recent studies in learning analysis describe methodologies and approaches for analyzing educational games. However,…

During the COVID-19 pandemic, education systems policymakers realized the importance of being able to communicate using technology and to fulfill their academic obligations. As a consequence, a different approach to education followed: blended learning. A literature review revealed a lack of psychometric tools related to blended teaching readiness…