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Sternberg, Robert J.; Chowkase, Aakash; Parra-Martinez, Fabio Andres; Landy, Jenna – Journal of Intelligence, 2022
Criterion-referenced testing is usually applied to the assessment of achievement. In this article, we suggest how it can also be applied to the assessment of adaptive intelligence, that is, intelligence as adaptation to the environment. In the era of the Anthropocene, we argue that adaptive intelligence is what is most important not only for…
Descriptors: Criterion Referenced Tests, Intelligence Tests, Intelligence, Intelligence Quotient
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Ruth Irwin – Educational Philosophy and Theory, 2025
Education is concerned with the production of intelligence. Is AI intelligent? and what are the implications for educating humanity? Samuel Butler makes the case that machinery emerges in co-relation with the evolution of humanity. In other words, the evolution of machines relies on the human intervention for reproduction, and the evolution of…
Descriptors: Computer Software, Artificial Intelligence, Educational Philosophy, Humanism
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Julie Lounds Taylor; Virginia Sullivan; Somer L. Bishop; Shuting Zheng; Ryan E. Adams – Journal of Autism and Developmental Disorders, 2025
Purpose: Social experiences are consistently associated with psychological health among autistic individuals. However, most extant studies on this topic exclude individuals with autism who have lower IQ or are otherwise unable to self-report. The current study addresses this gap by examining associations of negative peer experiences and social…
Descriptors: Social Experience, Interpersonal Competence, Mental Health, Psychological Patterns
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Robson Gonçalves Fechine Feitosa; Gustavo Augusto Lima de Campos; Ismayle de Sousa Santos; Carlos Hairon Ribeiro Gonçalves; Antônio de Barros Serra; Alisson Romão de Oliveira; Pedro Lucas Pereira Feitosa; Yuri David Santos; Esdras Lins Bispo Jr.; Guilherme Álvaro Rodrigues Maia Esmeraldo – International Journal of Artificial Intelligence in Education, 2025
Many existing solutions for the automatic assessment of open-ended questions predominantly rely on machine learning models, primarily focusing on aspects such as writing style and assigning a final score. However, these solutions often overlook the crucial factor of feedback content relevance, specifically, how well the response aligns with the…
Descriptors: Competency Based Education, Skill Development, Artificial Intelligence, Feedback (Response)
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Cecilia Ka Yuk Chan – Education and Information Technologies, 2025
This novel study explores "AI-giarism," an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. The objective of this study is to investigate students' perception of adopting generative AI for research and study purposes, and their understanding of traditional plagiarism and their…
Descriptors: Higher Education, College Students, Artificial Intelligence, Plagiarism
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David Rae; Edward Cartwright; Mario Gongora; Chris Hobson; Harsh Shah – Industry and Higher Education, 2024
This paper demonstrates how the innovative application of a Collective Intelligence approach enhanced Local Skills Improvement Planning information for employers, education and skills training organisations and regional economic policy organisations. This took place within a Knowledge Transfer Partnership between a Chamber of Commerce and a…
Descriptors: Cooperative Learning, Intelligence, Knowledge Management, Skill Development
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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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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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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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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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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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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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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
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