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Divya Sadana; Rajnish Kumar Gupta; Sanjeev Jain; S. S. Kumaran; Jamuna Rajeswaran – Gifted and Talented International, 2024
The present study aimed to explore the association between creativity, intelligence, and personality. The study recruited sixty healthy volunteers in the age range of 20-40 years from Bengaluru city (formerly Bangalore), South India, and administered tests for fluid intelligence (Raven's Standard Progressive Matrices), personality (Big Five…
Descriptors: Creativity, Personality, Intelligence, Correlation
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
Richard Raymond Freda – ProQuest LLC, 2024
Despite studies showing that individuals with higher levels of emotional intelligence report higher job satisfaction and happiness, relatively few studies have looked at the relationship between higher levels of emotional intelligence and lower levels of teacher burnout, especially among music teachers. With so many music teaching positions going…
Descriptors: Correlation, Emotional Intelligence, Teacher Burnout, Music Teachers
Idam Ragil Widianto Atmojo; Roy Ardiansyah; Joko Tri Widianto – Elementary School Forum (Mimbar Sekolah Dasar), 2024
This study aims to determine whether there is a relationship between linguistic intelligence and computational thinking. The research method employed is quantitative, utilizing a correlational research design. The research sample comprised 73 students from 4 elementary schools in the Laweyan District, Surakarta City. Data collection involved a…
Descriptors: Intelligence, Linguistics, Computation, Grade 5
Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
Joaquín Rodríguez-Ruiz; Inmaculada Marín-López; Raquel Espejo-Siles – Education and Information Technologies, 2025
The present study aimed to analyse if self-control, self-esteem and self-efficacy are related to the use of artificial intelligence tools. These tools are being incorporated to educational practices, but there is a lack of empirical evidence about the relation between artificial intelligence use by students and their personal and psychological…
Descriptors: Artificial Intelligence, Self Control, Self Esteem, Self Efficacy
Mark Feng Teng – European Journal of Education, 2025
The present study explored EFL students' perceptions and experiences in utilising ChatGPT to seek feedback for writing. The present study also examined how levels of metacognitive awareness (MA) influenced these perceptions and experiences. Utilising a mixed-method research design, the study collected data from a total of 40 EFL undergraduates…
Descriptors: English (Second Language), Student Attitudes, Feedback (Response), Writing (Composition)
Melanie Joann Ventura – ProQuest LLC, 2024
In clinical and forensic evaluations, clinical neuropsychologists measure performance validity using standalone and embedded measures. Given the need to capture neuropsychological functioning through a variety of cognitive tests, newer, more sensitive measures should be evaluated for their utility in comparison to already established measures.…
Descriptors: Intelligence Tests, Adults, Measurement Techniques, Vocabulary
Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation
Abdelmohsen Hamed Okela – Journalism and Mass Communication Educator, 2025
Artificial intelligence (AI) is revolutionizing journalism, necessitating a reevaluation of journalism education. The mixed-method study employs the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate the factors influencing AI adoption among Egyptian journalism professors from eight universities. Findings indicate that…
Descriptors: Artificial Intelligence, Journalism Education, Foreign Countries, Technology Uses in Education
David Broska; Michael Howes; Austin van Loon – Sociological Methods & Research, 2025
Large language models (LLMs) provide cost-effective but possibly inaccurate predictions of human behavior. Despite growing evidence that predicted and observed behavior are often not "interchangeable," there is limited guidance on using LLMs to obtain valid estimates of causal effects and other parameters. We argue that LLM predictions…
Descriptors: Artificial Intelligence, Observation, Prediction, Correlation
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
Jyoti Sharma; B. Biswal; Pankaj Tyagi; Shobha Bagai – Gifted and Talented International, 2024
Academically gifted students or high potential learners don't feel challenged in regular classrooms. Teachers in schools are also not quipped with pedagogical interventions to meet the advanced learning needs of gifted students. Mentoring is considered an effective method to guide, motivate and optimize learning abilities of gifted students. The…
Descriptors: Mentors, Academically Gifted, Program Development, Science Education
Sahanowas Sk; Santoshi Halder – Journal of College Student Retention: Research, Theory & Practice, 2024
Resilience is of utmost importance for first-year undergraduate students to persist and flourish throughout the course of their studies. The researchers explored the comparative and simultaneous effect of two factors, i.e., emotional intelligence (EI) and critical thinking (CT) disposition in predicting the resilience of first-year undergraduate…
Descriptors: Foreign Countries, College Freshmen, Resilience (Psychology), Emotional Intelligence
Sarab Tej Singh; Satish Kumar; Vishal Singh – Journal of Education and Learning (EduLearn), 2025
The current research is the study of academic buoyancy in relation to emotional intelligence and parenting styles. Academic buoyancy is a strength in a student's life to deal with the routine problems in classroom study like low grades, negative feedback by teachers, and difficulties in understanding of concepts. For the studying the relationship…
Descriptors: Parenting Styles, Emotional Intelligence, Predictor Variables, Academic Achievement