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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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Hongfeng Zhang; Fanbo Li; Xiaolong Chen – Journal of Educational Computing Research, 2025
This study addresses the gap in understanding graduate students' sustained engagement behavior (SEB) with generative artificial intelligence (GAI) by integrating the Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT), and Theory of Reasoned Action (TRA) into a comprehensive embedding model. It introduces the Technology…
Descriptors: Graduate Students, Artificial Intelligence, Learner Engagement, Foreign Countries
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Georgios P. Georgiou; Aretousa Giannakou – Journal of Psycholinguistic Research, 2024
Although extensive research has focused on the perceptual abilities of second language (L2) learners, a significant gap persists in understanding how cognitive functions like phonological short-term memory (PSTM) and nonverbal intelligence (IQ) impact L2 speech perception. This study sets out to investigate the discrimination of L2 English…
Descriptors: Nonverbal Ability, Second Language Learning, Short Term Memory, Accuracy
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Emmanuel Fokides; Eirini Peristeraki – Education and Information Technologies, 2025
This research analyzed the efficacy of ChatGPT as a tool for the correction and provision of feedback on primary school students' short essays written in both the English and Greek languages. The accuracy and qualitative aspects of ChatGPT-generated corrections and feedback were compared to that of educators. For the essays written in English, it…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Elementary School Students
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Alison M. O'Connor; Jennifer Gongola; Kaila C. Bruer; Thomas D. Lyon; Angela D. Evans – Applied Cognitive Psychology, 2025
The accurate detection of children's truthful and dishonest reports is essential as children can serve as important providers of information. Research using automated facial coding and machine learning found that children who were asked to lie about an event were more likely to look surprised when hearing the first question during an interview…
Descriptors: Deception, Nonverbal Communication, Recognition (Psychology), Children
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Li, Danfeng; Shi, Jiannong – High Ability Studies, 2021
This study examined the effects of fluid intelligence and trait emotional intelligence (trait EI) on academic performance in primary school-aged intellectually gifted and average children (8-11 years of age). One hundred and four average children and eighty gifted children were administered a Raven's Standard Progressive Matrices and a Trait…
Descriptors: Gifted, Prediction, Academic Achievement, Mathematics Achievement
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Vitrano, Deana; Altarriba, Jeanette; Leblebici-Basar, Deniz – Journal of Creative Behavior, 2021
S.A. Mednick (1962) proposed a theory of creativity suggesting that highly creative individuals can produce more word associations to a stimulus than less creative individuals. Numerous studies have supported this theory using the Remote Associates Test (RAT) as the measure of creativity. Additionally, some studies have suggested that…
Descriptors: Word Frequency, Associative Learning, Task Analysis, Creativity
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Kazuhiro Yamaguchi – Journal of Educational and Behavioral Statistics, 2025
This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…
Descriptors: Models, Classification, Bayesian Statistics, Evaluation Methods
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Changyu Yang; Adam Stivers – Journal of Education for Business, 2024
The rapid advancement of artificial intelligence (AI) has given rise to sophisticated language models that excel in understanding and generating human-like text. With the capacity to process vast amounts of information, these models effectively tackle problems across diverse domains. In this paper, we present a comparative analysis of prominent AI…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Comparative Analysis
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Giannakas, Filippos; Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo; Voyiatzis, Ioannis – Education and Information Technologies, 2022
Working in groups is an important collaboration activity in the educational context, where a variety of factors can influence the prediction of the teams' performance. In the pertinent bibliography, several machine learning models are available for delivering predictions. In this sense, the main goal of the current research is to assess 28…
Descriptors: Comparative Analysis, Artificial Intelligence, Prediction, Cooperative Learning
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Thomas Mgonja – Education and Information Technologies, 2024
The successful completion of remedial mathematics is widely recognized as a crucial factor for college success. However, there is considerable concern and ongoing debate surrounding the low completion rates observed in remedial mathematics courses across various parts of the world. This study applies explainable artificial intelligence (XAI) tools…
Descriptors: Higher Education, Remedial Mathematics, Artificial Intelligence, Predictor Variables
Jessica Stinson – ProQuest LLC, 2024
Intelligence tests have been used in the United States since the early 1900s for assessing soldiers during World War I (Kaufman & Harrison, 2008; White & Hall, 1980). Presently, cognitive assessments are used in school, civil service, military, clinical, and industry settings (White & Hall, 1980). Although the results of these…
Descriptors: Graduate Students, Masters Programs, Doctoral Programs, Comparative Analysis
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Sabrina Subri; Letizia Palumbo; Emma Gowen – Journal of Autism and Developmental Disorders, 2024
Symmetry studies in autism are inconclusive possibly due to different types of stimuli used which depend on either local or global cues. Therefore, this study compared symmetry detection between 20 autistic and 18 non-autistic adults matched on age, IQ, gender and handedness, using contour integration tasks containing open and closed contours that…
Descriptors: Autism Spectrum Disorders, Adults, Comparative Analysis, Stimuli
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Alyssa P. Lawson; Amedee Marchand Martella; Kristen LaBonte; Cynthia Y. Delgado; Fangzheng Zhao; Justin A. Gluck; Mitchell E. Munns; Ashleigh Wells LeRoy; Richard E. Mayer – Educational Psychology Review, 2024
A substantial amount of media comparison research has been conducted in the last decade to investigate whether students learn Science, Technology, Engineering, and Mathematics (STEM) content better in immersive virtual reality (IVR) or more traditional learning environments. However, a thorough review of the design and implementation of…
Descriptors: Mass Media, Comparative Analysis, Artificial Intelligence, STEM Education
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Mark Johnson; Rafiq Saleh – Interactive Learning Environments, 2024
Educational assessment is inherently uncertain, where physiological, psychological and social factors play an important role in establishing judgements which are assumed to be "absolute". AI and other algorithmic approaches to grading of student work strip-out uncertainty, leading to a lack of inspectability in machine judgement and…
Descriptors: Artificial Intelligence, Evaluation Methods, Technology Uses in Education, Man Machine Systems
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