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Lukasz Nikel – Psychology in the Schools, 2025
The role of intelligence and personality traits in explaining school achievement is crucial. However, their mutual impact on academic success remains unclear due to ambiguous results--the synergistic hypothesis versus the compensatory hypothesis. Additionally, there is a lack of research on representative samples, particularly concerning the…
Descriptors: Academic Achievement, Intelligence, Intelligence Quotient, Personality Traits
Yusra Zaki Aboud; Mamdouh Mosaad Helali; Rommel Mahmoud Alali – Educational Process: International Journal, 2025
Background/purpose: Threshold theory posits that a certain minimum level of intelligence, the "threshold," is essential for creativity to emerge. Beyond this level, the influence of intelligence on creativity diminishes. This study investigates the relationship between creativity and intelligence scores among exceptionally gifted,…
Descriptors: Foreign Countries, Academically Gifted, Creativity, Intelligence Quotient
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)
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
Edward Abasimi; Muhammad Kamran; Xue Han; Ibrahim Mohammed Gunu – International Journal of Psychology and Educational Studies, 2025
Identifying antecedents of achievement motivation is important because they are critical to students' academic success, life and college satisfaction, and student retention. Previous research has identified a relationship between intellectual abilities and achievement motivation. However, it is still unknown whether relatively newer dimensions of…
Descriptors: Emotional Intelligence, Student Motivation, Foreign Students, College Students
Ofra Walter; Izabella Mirochnik; Batel Hazan-Liran – Early Childhood Education Journal, 2025
The early years of childhood represent a critical time frame in emotional development. This qualitative study sought to elucidate the impact of parental relationships and parents' emotional intelligence on young children's development of emotional intelligence capacity, as well as changes in this development when a dyadic clinical intervention was…
Descriptors: Emotional Development, Young Children, Emotional Intelligence, Intervention
William Billingsley – Science & Education, 2025
This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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
Muhammad Abbas; Tariq Iqbal Khan; Farooq Ahmed Jam – Journal of Academic Ethics, 2025
There has been a notable increase in students' usage of generative artificial intelligence (GenAI) tools, such as ChatGPT, for academic purposes. The current study aimed to investigate the relationships between students' innovation consciousness, need for cognition, and their usage of ChatGPT. The study also examined the relationship between…
Descriptors: Artificial Intelligence, Technology Uses in Education, Innovation, Correlation
Nazia Rafiq; Maryam Ahmad – Asian Association of Open Universities Journal, 2025
Purpose: Artificial intelligence (AI) is an emerging research variable. It aims to enhance students' cognitive and creative abilities through the use of AI applications to better think and perform in their various academic fields. Nowadays, AI tools and applications are rapidly growing in the education sector and have not yet been fully studied in…
Descriptors: Artificial Intelligence, Creativity, Psychological Patterns, Student Attitudes
Volkan Burak Kibici – International Journal of Education in Mathematics, Science and Technology, 2025
This research aimed to investigate the relationship between the digital literacy levels of university students enrolled in art education and their attitudes towards Artificial Intelligence (AI) technologies. The study utilized a relational survey model and was conducted with a total of 229 students studying in fine arts, music, visual arts…
Descriptors: Foreign Countries, College Students, Technological Literacy, Art Education

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