Since the introduction of the specific learning disability (SLD) classification in federal special education legislation, there has been considerable ambiguity and controversy about the criteria that should be used in the determination of SLD (Kavale & Flanagan, 2007; Zumeta et al., 2014). Various models have been introduced to identify…

The POGIL-PCL project implements the principles of process-oriented, guided-inquiry learning (POGIL) in order to improve student learning in the physical chemistry laboratory (PCL) course. The inquiry-based physical chemistry experiments being developed emphasize modeling of chemical phenomena. In each experiment, students work through at least…

The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…

The Rail Trail and Property Values dataset includes information on a set of n = 104 homes which sold in Northampton, Massachusetts in 2007. The dataset provides house information (square footage, acreage, number of bedrooms, etc.), price estimates (from Zillow.com) at four time points, location, distance from a rail trail in the community, biking…

A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to…

When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…

Increasingly, early education, regardless of setting type, is considered to be an educational intervention that sets the stage for children's long-term school success. Accordingly, policymakers are focused on how to develop and support educators who have the skills and capacity to deliver high-quality programming to children. A pressing question…

The authors present work towards automatically assessing data collection behaviors as middle school students engage in inquiry within a physics microworld. In this study, the authors used machine learned models that can detect when students test their articulated hypotheses, design controlled experiments, and engage in planning behaviors using…

The Condition of Education in the Commonwealth Action Guide presents an overview of the current policy landscape and context in areas of need, along with suggested program steps for bringing successful practices to scale. The Action Guide and the larger Condition of Education in the Commonwealth project provides a common foundation for more…

Data-mined models often achieve good predictive power, but sometimes at the cost of interpretability. We investigate here if selecting features to increase a model's construct validity and interpretability also can improve the model's ability to predict the desired constructs. We do this by taking existing models and reducing the feature set to…

We present a method for assessing science inquiry performance, specifically for the inquiry skill of designing and conducting experiments, using educational data mining on students' log data from online microworlds in the Inq-ITS system (Inquiry Intelligent Tutoring System; www.inq-its.org). In our approach, we use a 2-step process: First we use…

The State-specific summary report serves as an assessment of Massachusetts' Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. Massachusetts' Year 1 accomplishments include: capacity building within its Department of Elementary and…

There is clear research-based evidence suggesting the mathematical gifts of children are not appropriately nurtured. Practices associated with the standard core curriculum renders them frustrated and bored. This paper represents an attempt to echo the voices of these children in order for their needs to be more properly met. It is based on a…

The NEAIR 2013 Conference Proceedings is a compilation of papers presented at the Newport, Rhode Island, conference. Papers in this document include: (1) Aspiring to the Role of "Data Badass:" Some Thoughts on the Political Context of IR (Mark Freeman); (2) Data-Driven Internal Benchmarks and Successful Learning Outcomes (Mamta Saxena…

The coprincipalship has been suggested as an organizational structure that addresses the increasing workload and time demands of the principal as well as the shortage of qualified applicants for the position. This article presents the findings of a qualitative study of coprincipals in public and private schools in California, Illinois,…