Technological progress has a significant impact on higher education and increases the popularity of artificial intelligence technologies in universities of different countries. This research was based at Tianshui Normal University in China. The authors examined the impact of an interactive learning environment based on artificial intelligence in…

Cognitive flexibility (CF) is the ability to shift between concepts or rules. Difficulty with CF is associated with autism (i.e., ASD) as it contributes to repetitive behaviours. However, little is known about CF skills of autistic adolescents with low intelligence. This study uses the Wisconsin Card Sorting Task (WCST) to assess the CF of 36…

The Flynn effect, which advocated that there was a rise in the global IQ score, was widely accepted by the relevant scientific community. However, there are recent research findings that this effect has been reversed. In this study, both Flynn and anti-Flynn effects were investigated. The purpose of this study is to analyze students' general,…

This paper presents a comprehensive analysis of the major themes in Natural Language Processing (NLP) applications for personalized learning, derived from a Latent Dirichlet Allocation (LDA) examination of top educational technology journals from 2014 to 2023. Our methodology involved collecting a corpus of relevant journal articles, applying LDA…

A leading critic of the disruptive force of technology in education, Bernard Stiegler saw the counter-effects of artificial intelligence in undermining human agency, autonomy and individuality, rendering the role of education ever more critical. Stiegler believes that our goal is not to abandon technology but to focus our attention on its power…

This study was a systematic review of research using the Wechsler Intelligence Scale for Children (WISC) with Autism Spectrum Disorder (ASD) to examine cognitive characteristics of children with ASD beyond the impact of revisions based on WISC and diagnostic criteria changes. The classic "islets of ability" was found in individuals with…

ChatGPT, an extensively recognised language model created by OpenAI, has gained significant prominence across various industries, particularly in education. This study aimed to investigate the factors that influence students' intentions to adopt and utilise ChatGPT for their academic studies. The study used a Structural Equation Model (SEM) for…

Purpose: Numerous tasks have been developed to measure receptive vocabulary, many of which were designed to be administered in person with a trained researcher or clinician. The purpose of the current study is to compare a common, in-person test of vocabulary with other vocabulary assessments that can be self-administered. Method: Fifty-three…

This study was an attempt to fit into the field of education to help leaders and parents further develop an in-depth understanding of the differing ability levels of individuals who have experienced trauma. The purpose of this qualitative case study was to describe the nature of and the influence of trauma on emotional intelligence in children as…

This paper takes on and explores the disturbing and perhaps counter-intuitive notion that the university is the place where the intellect goes to die. This idea is explored alongside Georges Bataille's suggestion that the death of thought might actually be a worthy pursuit and only thought which seeks its own limits is worth striving for. The…

The presence of social robots in children's daily environments has steadily increased. With the advancement of artificial intelligence (AI), social robots have influenced children's learning and development. This study innovatively utilized the Web of Science database and conducted a bibliometric analysis of 517 publications on social robots…

Quality questions, directed inquiry, and authentic literacy are important tools that enhance students' comprehension, knowledge, and application of what is taught. Learn how to phrase and pose good questions that will ignite inquiring minds and enrich student learning during classroom instruction. Author Erik M. Francis shares a framework for…

This paper examines how humans judge the capabilities of artificial intelligence (AI) to evaluate human attributes, specifically focusing on two key dimensions of human social evaluation: morality and competence. Furthermore, it investigates the impact of exposure to advanced Large Language Models on these perceptions. In three studies (combined N…

Intelligence and personality are both key drivers of learning. This study extends prior research on intelligence and personality by adopting a behavioral-process-related eye-tracking approach. We tested 182 adults on fluid intelligence and the Big Five personality traits. Eye-tracking information (gaze patterns) was recorded while participants…

Computational learning theory studies the design and analysis of learning algorithms, and it is integral to the foundation of machine learning. In the modern era, classical computational learning theory is growingly unable to catch up with new practical demands. In particular, problems arise in the following aspects: i). "scalability":…