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…

Solving arithmetic word problems is a complex task that requires individuals to activate their working memory resources, as well as the correct performance of the underlying executive processes involved in order to inhibit semantic biases or superficial responses caused by the problem's statement. This paper describes a study carried out with 135…

This study explores the attributions to which undergraduate university students ascribe academic achievement. Attribution theory was used as a means to understand scholastic success-failure. The questions that guided the study were the following: What are the causal attributions that predominate in students' academic achievement? Is there a…

In this study, fundamental researches on "metacognition" in Turkey, Japan and Singapore between the years of 2010 and 2020 were examined and conclusions were made in terms of comparative education. For this purpose, the data of the research was collected by document scanning method and the data were analyzed using the document review…

This study it was aimed to examine the emotional intelligence and personality traits of the students who study in different departments of the Faculty of Sport Sciences at Ege University and actively do sports in different sports branches. In total 549 students participated in the study voluntarily. To evaluate the variables of the study, the…

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…

I first met Jim Greer at the NATO Advanced Study Institute on Syntheses of Instructional Sciences and Computing Science for Effective Instructional Computing Systems in 1990 in Calgary, Canada. It was during this meeting that I came to realize that Jim was one of those rare individuals that could help "translate" computer science…

Introduction: Numerous studies have investigated the use of Wechsler tests on individuals with visual impairments. However, few studies have examined the utilization of the fourth edition of the Wechsler Intelligence Scale for Children (WISC-IV) for such individuals. This study investigated the reliability and validity of the WISC-IV Verbal…

The goal of the paper was to investigate whether morphological units -- stems and suffixes -- influence orthographic processing by modulating visual attention demands to the task. Orthographic processing was measured with a visual one-back task requiring letters to be detected within pseudowords not including stems/suffixes, or containing real…

This Australian study examines whether and how technologies such as Artificially Intelligent (AI) toys in a home-based setting might socially and emotionally support children with diverse needs through play. Building on the concept of 'emotional capital', and employing a design-based research approach, parents during the COVID-19 lockdown periods…

Purpose: Speech-language pathologists (SLPs) are faced with the challenge of quickly and accurately identifying children who present with speech sound disorders (SSD) compared to typically developing (TD) children. The goal of this study was to compare the clinical relevance of two speech sampling methods (single-word vs. connected speech samples)…

For this study, 11 children with moderate to severe autism spectrum disorder (ASD) were given directives containing prepositions in three cue conditions: (a) spoken alone, (b) a short video clip along with spoken cues, and (c) a sequence of three graphic symbols accompanied by spoken cues. Participants followed directives significantly more…

Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…

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…