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…

Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…

Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…

The purpose of this qualitative descriptive study was to explore how public-school principals, who were identified to be self-aware, described their communication techniques and emotional responses when leading teachers through change initiatives to meet school performance goals in Southwest Michigan. Daniel Goleman's emotional intelligence theory…

The shortage of qualified candidates for entry-level positions has created a major staffing dilemma for American employers. The problem addressed in this study was that many secondary students lack the social-emotional skills required for employability in the 21st-century workforce. The purpose of this qualitative generic study was to explore…

The purpose of this research is to examine the relationship between principals' self-perceived social and emotional competence and their leadership performance assessed by supervisors and faculty members. Principals completed the self-assessment of a social and emotional competence instrument that includes 39 items from the Widener Emotional…

Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not cause small-sample bias…

In the higher education context, an increasing concern on the technical or instrumental approach permeates attention to academics' data literacies and faculty development. The need for data literacy to deal specifically with the rise of learning analytics in higher education has been raised by some authors, though in spite of some focus on the…

There is a growing body of research that exists on student-teacher and school level factors that can influence student success. While emotional intelligence is overly critical to student learning, it is also linked to effective teaching practices as well as improved teaching quality. A person with emotional intelligence can understand his or her…