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Marisa L. Mylett; Troy Q. Boucher; Nichole E. Scheerer; Grace Iarocci – Journal of Autism and Developmental Disorders, 2024
The current study examined whether social competence and autistic traits are related to anxiety and depression in autistic and non-autistic children. Parents of 340 children aged 6 to 12 years old, including 186 autistic and 154 non-autistic children completed the Autism Spectrum Quotient (AQ) to assess their child's autistic traits, the…
Descriptors: Correlation, Autism Spectrum Disorders, Symptoms (Individual Disorders), Anxiety
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Xiaohu Xie; Tao Wang – Education and Information Technologies, 2024
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…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Foreign Countries
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Lung, Stephanie Lock Man; Bertone, Armando – Journal of Autism and Developmental Disorders, 2023
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…
Descriptors: Cognitive Processes, Autism Spectrum Disorders, Adolescents, Intelligence
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Bal-Sezerel, Bilge; Atesgöz, N. Nazli; Kirisçi, Nilgün – Journal of Theoretical Educational Science, 2023
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,…
Descriptors: Intelligence Tests, Scores, Elementary School Students, Intelligence Quotient
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Ji Hyun Yu; Devraj Chauhan – Education and Information Technologies, 2025
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…
Descriptors: Natural Language Processing, Individualized Instruction, Educational Technology, Emotional Intelligence
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Julien S. Murphy; Constance Mui – Educational Philosophy and Theory, 2025
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…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Writing (Composition)
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Silvi Listia Dewi; Misnar Misnar; Burhanuddin Yasin; Faisal Mustafa; Omar Khalifa Burhan – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
Intelligence is a key factor underlying individual differences in learning. This study aimed to determine whether students with strong linguistic and logical-mathematical intelligences learned better or more quickly than those with weak linguistic and logical-mathematical intelligences. Forty-nine senior high school students were taught reading…
Descriptors: Second Language Learning, English (Second Language), Reading Comprehension, Intelligence
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Takayanagi, Mizuho; Kawasaki, Yoko; Shinomiya, Mieko; Hiroshi, Hoshino; Okada, Satoshi; Ino, Tamiko; Sakai, Kazuko; Murakami, Kimiko; Ishida, Rie; Mizuno, Kaoru; Niwa, Shin-Ichi – Journal of Autism and Developmental Disorders, 2022
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…
Descriptors: Cognitive Ability, Autism, Pervasive Developmental Disorders, Children
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Greeni Maheshwari – Education and Information Technologies, 2024
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…
Descriptors: Influences, Intention, Artificial Intelligence, Natural Language Processing
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Daphna Harel; Deanna Goudelias; Hung-Shao Cheng; Melissa M. Baese-Berk; Rachel M. Theodore; Susannah V. Levi – Journal of Speech, Language, and Hearing Research, 2024
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…
Descriptors: Verbal Ability, Vocabulary, Intelligence Tests, Adults
Adamma Shannon Ugo – ProQuest LLC, 2024
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…
Descriptors: Emotional Intelligence, Trauma, Children, Teacher Attitudes
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Ansgar Allen – Research in Education, 2024
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…
Descriptors: Universities, Intelligence, Death, Cognitive Processes
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Na Zhang; Jinghan Xu; Xifeng Zhang; Yifang Wang – Education and Information Technologies, 2024
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…
Descriptors: Robotics, Interaction, Artificial Intelligence, Bibliometrics
Erik M. Francis – Solution Tree, 2024
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…
Descriptors: Questioning Techniques, Inquiry, Elementary Secondary Education, Artificial Intelligence
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Manuel Oliveira; Justus Brands; Judith Mashudi; Baptist Liefooghe; Ruud Hortensius – Cognitive Research: Principles and Implications, 2024
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…
Descriptors: Artificial Intelligence, Moral Values, Competence, Behavior
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