Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive meaningful insights from data gains urgency. Recent advances in deep learning, particularly in the area of voice and image recognition and so-called complete knowledge games like chess, go, and StarCraft, have resulted in a…

A large dataset of word recognition behavior from nonnative speakers (NNS) of English was collected using an online crowdsourced lexical decision task. Lexical features were used to predict NNS lexical decision latencies and accuracies. Predictors of NNS latencies and accuracy included contextual diversity, age of acquisition, and contextual…

This paper reports on the development of a system in which naturalistic inputs are collected by a web-based e-reader and, in combination with a measurement of readers' comprehension of that text, are analyzed by a neural network to determine the nature of the relationship between the annotations and comprehension. Results showed that neural…

This article explores the challenges that students face in navigating the curricular structure of post-secondary degree programs, and how predictive analytics and choice architecture can play a role. It examines Degree Compass, a course recommendation system that successfully pairs current students with the courses that best fit their talents and…

The Council for Advancement and Support of Education (CASE) launched the volunteer-led Asia-Pacific Alumni Relations Survey in 2014 to provide a resource for alumni relations professionals to benchmark performance internally and against fellow institutions of higher education. That was the first survey CASE has done on alumni relations programmes…

In his 1997 article "Technology and the Social Studies--or: Which Way to the Sleeping Giant?" Peter Martorella made several predictions regarding technology resources in the social studies. Through a 2014 lens, Martorella's Internet seems archaic, yet two of his predictions were particularly poignant and have had a significant impact on…

Apprentice and trainee data are reported by the State and Territory Training Authorities to National Centre for Vocational Education Research (NCVER) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred…

Apprentice and trainee data are reported by the State and Territory Training Authorities to the National Centre for Vocational Education Research (NCVER) on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are…

This study examined the heterotypic continuity of aggression hypothesis (physical to indirect) using independent teacher reports of aggression drawn from a nationally representative sample of 749 Canadian girls and boys. Confirmatory factor analysis using an accelerated longitudinal design confirmed a two-factor model of physical and indirect…

Many outcome variables in developmental psychopathology research are highly stable over time. In conventional longitudinal data analytic approaches such as multiple regression, controlling for prior levels of the outcome variable often yields little (if any) reliable variance in the dependent variable for putative predictors to explain. Three…

"How much popcorn will our classroom hold?" This intriguing question sparked a terrific integrated science and math exploration that the author conducted with fifth-and sixth-grade students. In the process of finding the classroom's volume, students developed science-process skills (e.g., developing a plan, measurement, collecting and interpreting…

A method of estimating resident staffing needs is evaluated, including discussion of (1) methodological changes needed to estimate needs for service care and assisting attending physicians with private cases; (2) data collection; (3) representative findings; (4) using cost, ease of use, understandability, communicability, and validity as…

Institutions varied widely in amount and type of data collected in tracking research proposals. Many do not collect predicted data or much data of national interest. Most do not require prior approval of use of human subjects, recombinant DNA, or hazardous substances. Only one required certification of integrity of scholarship. (Author/MSE)

As more emphasis is placed upon institutional research that provides information relating to long-term strategic planning, as well as to short-term operational considerations, program evaluation techniques that merely analyze past or current budget and enrollment statistics will become increasingly inadequate. Such techniques are based on data…

The first of two papers compares two models (the market based model and the prevalence model) for analyzing data from annual state surveys to determine future special education personnel needs and discusses critical issues in data collection. These data are required under the Individuals with Disabilities Education Act which asks states to project…