While Educational Data Mining research has traditionally emphasized the practical aspects of learner modeling, such as predictive modeling, estimating students knowledge, and informing adaptive instruction, in the current study, we argue that Educational Data Mining can also be used to test and improve our fundamental theories of human learning.…

Big Data are structured, semi-structured, unstructured, and raw data that are revolutionizing how we think about and use information in the 21st century. Big Data represents a paradigm shift from our prior use of traditional data assets over the past 30+ years, such as numeric and textual data, to generating and accessing petabytes and beyond of…

In this commentary, Peter Smith questions how well we follow up after school shootings in order to diagnose causes and enhance future prevention. Sommer, Leuschner, and Scheithauer (2014) have assembled data from 126 cases available in the English and German research literature and suggested important risk categories. Notably, there are a large…

There are many different aspects of statistics. Statistics involves mathematics, computing, and applications to almost every field of endeavour. Each aspect provides an opportunity to spark someone's interest in the subject. In this paper we discuss some ethical aspects of statistics, and describe how an introduction to ethics has been…

The Tukey mean-difference plot, also called the Bland-Altman plot, is a recognized graphical tool in the exploration of biometrical data. We show that this technique deserves a place on an introductory statistics course by encouraging students to think about the kind of graph they wish to create, rather than just creating the default graph for the…

The new data sciences of education bring substantial legal, political, and ethical questions about the management of information about learners. This piece provides a synoptic view of recent scholarly discussion in this domain and calls for a proactive approach to the ethics of learning research.

Multilevel data are very common in educational research. Hierarchical linear models/linear mixed-effects models (HLMs/LMEs) are often utilized to analyze multilevel data nowadays. This paper discusses the problems of utilizing ordinary regressions for modeling multilevel educational data, compare the data analytic results from three regression…

In this article, the authors present two models of intensive instruction for students with and without disabilities who are having difficulties with Response to Intervention (RTI) currently in practice (Tier 1: general instruction that all students receive in mainstream classrooms, and Tier 2: programs often involving small group instruction). The…

Rapidly growing within academic libraries, library data services have often been focused on assessing research trends and building partnerships outside the library. There are distinct benefits, however, to using data audit methodologies created for these external assessments of researcher practices inside the library as well. In this article, we…

Exploratory factor analysis (EFA) methods are used extensively in the field of assessment and evaluation. Due to EFA's widespread use, common methods and practices have come under close scrutiny. A substantial body of literature has been compiled highlighting problems with many of the methods and practices used in EFA, and, in response, many…

This study examined if there was a relationship between the intrinsic and extrinsic motivation of students and their decisions to enroll and persist in General Education Development (GED) programs in the State of Alabama. The Learning Self-Regulation Questionnaire (SQR-L), a 13 question Likert scale questionnaire, was used to survey students for…

This fact sheet provides an overview of the nation's gang problem and summarizes findings from the 2012 survey. Of the 2,538 survey recipients, 2,199 (87 percent) responded to the survey. In 2012, there were an estimated 30,700 gangs (an increase from 29,900 in 2011) and 850,000 gang members (an increase from 782,500 in 2011) throughout 3,100…

Root cause analysis is a powerful method schools use to analyze data to solve problems; it aims to identify and correct the root causes of problems or events, rather than simply addressing their symptoms. Veteran practitioner, Roni Silverstein, presented the value of this process and practical ways to use it in your school or district. This…

At any given time, tens of thousands of children and youth in the U.S. are in the foster care system. Many have been abused, neglected, or abandoned, and they face a challenging journey of uncertainty, often not knowing where they will live next, where they will go to school, or whether they will have contact with friends and relatives. Child…

Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Section I of the book focuses on the theoretical perspectives that led to…