This completely updated edition of "The Almanac of American Education" helps users understand and compare the quality of education at the national, state, and county levels. Compiled from official U.S. government sources, this book contains historical and current data, insightful analysis, and useful graphs that provide compelling…

Group design research studies can provide evidence to draw conclusions about "what works," "for whom," and "under what conditions" in special education. The quality indicators introduced by Gersten and colleagues (2005) have contributed to increased rigor in group design research, which has provided substantial…

The purpose of this action research study was to investigate the actual motivation for application to graduate school for first-generation and international students from historically marginalized communities (HMCS). The specific goal was to augment data on college advisory work, recruiting, and marketing, and look at the wants and needs of…

This study explored the core competencies, technological skills, functional proficiencies, and professional experiences of data scientists at higher education institutions. The specific population of interest was higher education administrators and staff professionals identified as data scientists. This study was informed by the following guiding…

Scientific Data Analysis Toolkit (SDAT) is a rigorous, versatile, and user-friendly data analysis add-in application for Microsoft Excel for Windows (PC). SDAT uses the familiar Excel environment to carry out most of the analytical tasks used in data analysis. It has been designed for student use in manipulating and analyzing data encountered in…

The purpose of this article is to provide an overview of a structured, rigorous approach to collaborative qualitative analysis while attending to challenges associated with working in team environments. The method is rooted in qualitative data analysis literature related to thematic analysis, as well as the constant comparative method. It seeks to…

Open Learning Analytics (OLA) is an emerging concept in the field of Learning Analytics (LA). It deals with learning data collected from multiple environments and contexts, analyzed with a wide range of analytics methods to address the requirements of different stakeholders. Due to this diversity in different dimensions of OLA, the LA developers…

Data Envelopment Analysis (DEA) is one of the most widely used efficiency measurement techniques in the literature. In the method developed by Charnes, Cooper, and Rhodes, the relation between input(s) and output(s) is examined and relative efficiency values are obtained for many decisionmaking units. In order to be able to accurately measure the…

It has been known since at least the 1960s that small changes in pupil diameter in response to a mental task are indicative of processing effort associated with this task. More recently, with the advent of modern eye-trackers, which also measure the pupil diameter, pupillometry has been "rediscovered" by language researchers and the…

This research shares the challenges of bringing in real-world big business data into the classroom so students can experience how today's business decisions can improve with the strategic use of data analytics. Finding a true big data set that provides real world business transactions and operational data has been a challenge for academics…

Growing interest in Big Data is leading industries, academics and governments to accelerate Big Data research. However, how teachers should teach Big Data has not been fully examined. This article suggests criteria for redesigning Big Data syllabi in public and private degree-awarding higher education establishments. The author conducted a survey…

In this era of "Big Data," institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities they serve at the local, regional, and national levels. This book helps readers understand and…

Interactive learning environments facilitate learning by providing hints to fill the gaps in the understanding of a concept. Studies suggest that hints are not used optimally by learners. Either they are used unnecessarily or not used at all. It has been shown that learning outcomes can be improved by providing hints when needed. An effective…

To support continuous professional development model in the teaching and learning of mathematics, many districts and schools have begun hiring elementary mathematics coaches and/or specialists (MCSs). However, limited large-scale empirical research exists that determines how the use of MCSs affect student learning and achievement. Kristin E.…

Data-handling, processing, and analysis skills are an integral part of a chemist's skill set and, more generally, are highly sought by employers. We report a self-directed workshop to develop and advance these key skills using the popular spreadsheet program Microsoft Excel. Making use of its accessible user interface, various contextualized…