Course selection can be a daunting task, especially for first year students. Sub-optimal selection can lead to bad performance of students and increase the dropout rate. Given the availability of historic data about student performances, it is possible to aid students in the selection of appropriate courses. Here, we propose a method to compose a…

Data is critical, but data has not always lead to success. If data is not communicated clearly, the results can be disastrous. Design lets us communicate data so it can be understood. Dr. Rankin believes that "when we're fluent in visualizing our ideas, we can communicate them across global boundaries, across spoken language barriers, and…

Research considers collaboration to be a significant factor in terms of how teachers use data to improve their practice. Nevertheless, the effects of teacher collaboration with regard to teachers' individual data use has remained largely underexplored. Moreover, little attention has been paid to the interplay between collaboration and the personal…

In this article, the author argues that student data is more than just test scores. Alex Kajitani notes that data matter because they provide crucial information to teachers that enable them to better serve their students. Teachers can use data to determine students' strengths and areas of need. The effective use of data means being able to…

Although data-based decision making can lead to improved student achievement, data are often not used effectively in schools. This paper therefore focuses on conditions for effective data use. We studied the extent to which school organizational characteristics, data characteristics, user characteristics, and collaboration influenced data use for…

There is much enthusiasm in higher education about the benefits of adaptive learning and using big data to investigate learning processes to make data-informed educational decisions. The benefits of adaptive learning to achieve personalized learning are obvious. Yet, there lacks evidence-based research to understand how data such as user behavior…

The use of data to inform instructional and educational decisions is an increasingly important facet of teachers' professional practice. However, little is presently known about the best teacher learning mechanisms by which to promote data use. This study (N = 329) examined the nature and distribution of both Illinois public teacher data use…

In the quest to improve measured educational outcomes national governments across the The Organisation for Economic Co-operation and Development (OECD) and beyond have instituted large-scale assessment (LSA) policies in their public schools. Controversy almost universally follows the implementation of such testing, related to such topics as: a)…

Signed into Law on January 8, 2002, the 1,180 page No Child Left Behind Act (NCLB) shifted the course of public education in America. For the first time accountability was firmly placed at the center of school operations by requiring a systematic approach to achieving reform and improving all areas of school life (Wanker & Christie, 2005). As…

There is a growing expectation that schools should systematically collect and analyse data as a point of departure for decisions. However, research shows that teachers themselves are less convinced that they need to base their decisions on data, as they mainly rely on their intuition and experience. This article examines the extent to which…

The purpose of this study is to examine the differences between groups of psychology students and groups of psychology professionals based on the personality trait of Extraversion, and its facets, as measured by the NEO Personality Inventory-Revised (NEO PI-R; Costa & McCrae, 1992). Previous applications of the NEO PI-R have focused on…