The Community Learning and Service Partnership (CLASP) being named the recipient of the Malcolm Knowles Award prompts retrospection and raises the question of what to present at the American Association for Adult and Continuing Education (AAACE) conference. What is the overarching narrative of CLASP? Given the international and intergenerational…

Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data--both genetic and behavioral--that are collected as part of scientific studies or a part of treatment can provide a deeper,…

This chapter provides a systematic review of research published between 2006 and 2022 on the use of artificial intelligence (AI) platforms in writing instruction. We theorize writing and platforms as complex ecologies, investigating the interplay of their relations and implications for educational equity. Our findings suggested three functional…

The aim of this study was to examine whether the use of a response-to-intervention (RTI) model to identify specific learning disability (SLD) over-identifies children and youth with population-relative (normative) weaknesses in general cognitive ability (IQs < 90). We compared the overall score on the Kaufman Brief Intelligence Test-Second…

We compared the Wechsler scores of individuals with twice-exceptionality (2e) and giftedness using a three-level Bayesian meta-analysis. Ninety-five effect sizes were calculated from 15 studies (n = 2,106). Results show that individuals with 2e who have learning disabilities perform lower than individuals with giftedness in Full-Scale Intelligence…

The turn to online learning and training programs as a response to challenging times (i.e., the COVID-19 crisis) necessitated the need for internet-based testing solutions. Researchers generally have found that Unproctored Internet Testing (UIT) for high-stakes cognitive ability assessments results in higher scores than proctored assessments. Live…

This study explored the Social Representations (SRs) of Gifted Children in France, both in the general adult population and in different childhood professionals's populations (i.e., primary school teachers, secondary school teachers, and psychologists). Two binary SRs emerged from the data obtained from 608 participants. In the general population,…

Dialogic reading, when children are read a storybook and engaged in relevant conversation, is a powerful strategy for fostering language development. With the development of artificial intelligence, conversational agents can engage children in elements of dialogic reading. This study examined whether a conversational agent can improve children's…

This paper utilizes poststructural theory to analyze student artifacts that were collected from a history of mathematics course. The course was designed to counter three types of mathematical narratives, relating to: 1) race, 2) intelligence, and 3) innateness. To address these narratives, the course highlighted the contributions of communities of…

Twins regularly score nearly a standard deviation below the population mean on standardized measures of cognitive development in infancy but recover to the population mean by early childhood, making rapid gains through the toddler years. To date, only polynomial growth models have been fit to model cognitive recovery across childhood, limiting the…

The research presents precision education that aims to regulate students' behaviors through the learning analytics dashboard (LAD) in the AI-supported smart learning environment (SLE). The LAD basically tracks and visualizes traces of learning actions to make students aware of their learning behaviors and reflect these against the agreed goals.…

Artificial Intelligence has the potential to be an important part of education governance. It is already being built into everything from business intelligence platforms to real-time online testing. In this paper, we aim to understand how AI becomes, and forms, a legitimate part of authority in contemporary education governance in what we call the…

This study aimed to explore the longitudinal trajectories of teacher burnout and vigour across the school year and whether teacher emotional intelligence (EI) at the beginning of the school year would predict membership in the trajectories. A sample of 311 school teachers (M[subscript age] = 42.40 years ± 9.64 years, aged: 24-61) reported their…

Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…

Higher education (HIED) presidents face a wide variety of competing demands and pressures. High emotional intelligence (EI) has been found to be effective in good leadership, but few studies exist which examine HIED presidents' EI. This quantitative growth model study attempted to expand the understanding of EI and its source of change among HIED…