There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…

Surveys reveal that many school psychologists continue to employ cognitive profile analysis despite the long-standing history of negative research results from this class of practice. This begets the question: why do questionable assessment practices persist in school psychology? To provide insight on this dilemma, this article presents the…

Teaching meaningful and productive mathematical argument in school requires teachers who are comfortable with diverse forms of mathematical justification. This study examines the written and oral justifications of pre-service middle school teachers (PSTs) in a single classroom, focusing on the types of justifications they use during the patterns…

In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…

Research Findings: This study provides a framework for categorizing one subset of the large and heterogeneous group of home-based child care providers, unlisted paid providers. We analyzed data on unlisted paid home-based child care providers (n = 448) from the 2012 National Survey of Early Care and Education conducted in the United States. We…

Human Rights Education exists as an implementing entity of the Universal Declaration of Human Rights. Scholars such as Andre Keet and others have criticized the dissemination of universal rights through education because it covets Western ideology over local ethical and epistemological constructs. Using Tibbitts' revised typologies of Human Rights…

The NAEP EDM Competition required participants to predict efficient test-taking behavior based on log data. This paper describes our top-down approach for engineering features by means of psychometric modeling, aiming at machine learning for the predictive classification task. For feature engineering, we employed, among others, the Log-Normal…

The Big Data for Education Spoke of the NSF Northeast Big Data Innovation Hub and ETS co-sponsored an educational data mining competition in which contestants were asked to predict efficient time use on the NAEP 8th grade mathematics computer-based assessment, based on the log file of a student's actions on a prior portion of the assessment. In…

Multilingualism has established itself as a separate area of research in linguistic studies for the two last decades. Therefore, the present study aims at examining Algerian Multilingual students' perceptions of linguistic distance i.e., "psychotypology," between their first Language Arabic and Second language French and third language…

The Conceptual Survey of Electricity and Magnetism (CSEM) is a widely used multiple-choice instrument measuring a student's conceptual understanding of electricity and magnetism. This study applied modified module analysis (MMA) and modified module analysis-partial (MMA-P), network analytic methods that identify groups of correlated responses, to…

From 2006 the British government strongly favoured synthetic phonics as the principal approach for the teaching of initial literacy in state-funded primary schools in England, and since 2010 has made it mandatory. In 2007-2013 just over 100 commercially published phonics schemes were available, and in that same period the government maintained a…

College student satisfaction and engagement are important indicators of the quality of student learning experiences and outcomes in higher education. Researchers have found student satisfaction to be positively related to student persistence and academic success (Kuh, 2009; Strahan & Credé, 2015). Understanding the level of student…

The developments and changes that have accompanied the COVID-19 pandemic have affected the educational world and all sectors. Educational institutions around the world have implemented emergency and online educational practises to ensure continuity of education as opposed to the planned distance education activities that were implemented for…

Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students correct their errors and ultimately lead to improved learning outcomes. Most existing approaches for automated student solution analysis and feedback require manually…

We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…