Statistics courses that focus on data analysis in isolation, discounting the scientific inquiry process, may not motivate students to learn the subject. By involving students in other steps of the inquiry process, such as generating hypotheses and data, students may become more interested and vested in the analysis step. Additionally, such an…

Monitoring educational development in the early years of schooling is vital if practitioners, and policy makers, are to support students' learning, but the assessment of student achievement in developing countries can be a logistical headache. Maurice Walker reports on an innovative approach to assessment using tablets that is addressing that.

The purpose of this study was to investigate if students are prepared to release any personal data in order to inform learning analytics systems. Besides the well-documented benefits of learning analytics, serious concerns and challenges are associated with the application of these data driven systems. Most notably, empirical evidence regarding…

This manual provides guidance and documentation for users of the longitudinal kindergarten-first grade (K-1) data file of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011). It mainly provides information specific to the first-grade rounds of data collection. Data for the ECLS-K:2011 are released in both a…

Some universities administer standardized tests to estimate school effects on student learning. To that end, many of those institutions choose to gather cross-sectional data (freshmen and seniors in the same academic year) rather than longitudinal data. The effects of this decision on institutional assessment results are generally unknown. The…

As the author of this article read through the fascinating ruminations of Drs. Albisetti, Finkelstein, Thelin, and Urban, it seemed to him that two basic points emerge, one conceptual and one methodological. Conceptually, Albisetti, Finkelstein, and Urban are asking historians of education to move away from national frames of reference to either a…

This paper first reviews the fairly established ways of collecting sign language data. It then discusses the new technologies available and their impact on sign language research, both in terms of how data is collected and what new kinds of data are emerging as a result of technology. New data collection methods and new kinds of data are…

Participatory research is a useful technique for collecting basic data over a large geographic area. Garlic production was chosen as a participatory research study focus in Maine. Project participants (285) received bulbs to plant, monitored their crop, and reported data online. Participants received a monthly educational newsletter to improve…

This article provides a critical and global overview of current research into public opinion about science and technology (S&T). Although several sets of high-quality data exist, there remains a lack of international coordination and irregular release of new data in forms that can be widely used. The article highlights a range of key…

Research on the relationship between affect and cognition in Artificial Intelligence in Education (AIEd) brings an important dimension to our understanding of how learning occurs and how it can be facilitated. Emotions are crucial to learning, but their nature, the conditions under which they occur, and their exact impact on learning for different…

We live in an era of information overload. From online news to online shopping to scholarly research, we are inundated with a torrent of information on a daily basis. With our limited time, money and attention, we often struggle to extract actionable knowledge from this deluge of data. A common approach for addressing this challenge is…

The purpose of this qualitative study was to analyze Miguel A. Nevárez's educational leadership style by focusing on his notable contributions to The University of Texas Pan American. The researcher defined leadership style as actions by the leader. After examining Nevárez's background to place his motivations and actions in proper context, this…

Linking administrative data records for the same individuals across services and over time offers a powerful, population-wide resource for child maltreatment research that can be used to identify risk and protective factors and to examine outcomes. Multistage de-identification processes have been developed to protect privacy and maintain…

Background: Cross-cultural studies contribute to engineering education as a globally interconnected field. The methodological challenges posed by research across cultural boundaries must be explored to ensure the quality of such studies. Purpose: This article explores challenges and opportunities for insight by examining the effects of…

Learning Analytics is an emerging research field and design discipline that occupies the "middle space" between the learning sciences/educational research and the use of computational techniques to capture and analyze data (Suthers & Verbert, 2013). We propose that the literature examining the triadic relationships between…