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Yu Quan – European Journal of Education, 2025
Teachers' classroom communication behaviours play a significant role in students' academic performance and behaviours. However, insufficient research exists on the mediating impact of English as a foreign language (EFL) teachers' clarity and credibility on their students' willingness to attend classes (WTAC) mediated by AI tools, to date. To fill…
Descriptors: Teacher Characteristics, Language Teachers, English (Second Language), Student Attitudes
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Qi Xia; Yiming Yang; Xiaojing Weng; Wing Kin Cheng; Thomas K. F. Chiu – European Journal of Education, 2025
The success of efforts to integrate generative AI (GenAI) into classrooms depends heavily on teachers' willingness to integrate the relevant technologies. However, few studies have examined the effect of perceived psychological needs satisfaction on teachers' willingness to integrate GenAI (WIAI). This study investigated the effect of perceived…
Descriptors: Technology Integration, Artificial Intelligence, Computer Uses in Education, Need Gratification
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Chun Li; Aynur Kesen Mutlu – European Journal of Education, 2025
Artificial intelligence has become an important force in higher education, especially in language learning. Existing research has mainly focussed on its influence on academic performance, with limited attention to psychological outcomes, so this study aimed to examine the effects of personal learning experience, social emotional learning and…
Descriptors: Foreign Countries, Social Emotional Learning, Personal Autonomy, Student Welfare
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Stefanelli, Silvia; Alloway, Tracy Packiam – Journal of Intellectual Disabilities, 2020
Borderline intellectual functioning is a neurodevelopmental condition characterized by an intelligence quotient (IQ) in the range of 70-85. The present study aimed to investigate the mathematical abilities and the working memory of students with borderline intellectual functioning (BIF). The sample group included 10 year-old students with BIF (n =…
Descriptors: Mathematics Skills, Short Term Memory, Children, Slow Learners
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Wilinski, Antoni; Kupracz, Lukasz – Informatics in Education, 2020
The aim of the article is to determine in the studied groups the multiple intelligence distribution defined in the 1980s by Howard Gardner. The research was conducted in three groups of respondents. The first study group was first-year students of computer science, the second was master (2nd degree) students, educationally 4 years older than the…
Descriptors: Multiple Intelligences, Intelligence Tests, College Freshmen, Graduate Students
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Kulikowski, Konrad; Orzechowski, Jaroslaw – Applied Cognitive Psychology, 2019
This study aimed to investigate the relationships between working memory capacity, fluid intelligence (Gf), and work engagement within the framework of the job demands-resources theory. Multioccupational employees (N = 175 in Study 1 and N = 383 in Study 2) completed sets of Gf, complex span, and n-back tests, along with job resources and work…
Descriptors: Intelligence, Short Term Memory, Employees, Work Attitudes
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Canivez, Gary L.; Youngstrom, Eric A. – Applied Measurement in Education, 2019
The Cattell-Horn-Carroll (CHC) taxonomy of cognitive abilities married John Horn and Raymond Cattell's Extended Gf-Gc theory with John Carroll's Three-Stratum Theory. While there are some similarities in arrangements or classifications of tasks (observed variables) within similar broad or narrow dimensions, other salient theoretical features and…
Descriptors: Taxonomy, Cognitive Ability, Intelligence, Cognitive Tests
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Canivez, Gary L.; Watkins, Marley W.; McGill, Ryan J. – British Journal of Educational Psychology, 2019
Background: There is inadequate information regarding the factor structure of the Wechsler Intelligence Scale for Children -- Fifth UK Edition (WISC-V[superscript UK]; Wechsler, 2016a, Wechsler Intelligence Scale for Children-Fifth UK Edition, Harcourt Assessment, London, UK) to guide interpretation. Aims and methods: The WISC-V[superscript UK]…
Descriptors: Children, Intelligence Tests, Construct Validity, Factor Analysis
OECD Publishing, 2021
Artificial intelligence (AI) and robotics are major breakthrough technologies that are transforming the economy and society. The OECD's Artificial Intelligence and the Future of Skills (AIFS) project is developing a programme to assess the capabilities of AI and robotics, and their impact on education and work. This volume reports on the first…
Descriptors: Artificial Intelligence, Skill Development, Evaluation, Competence
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Dorfman, Leonid; Kalugin, Alexey; Mishkevich, Arina – International Society for Technology, Education, and Science, 2021
The commonality is one of underlying conditions that provide the individual-intellectual integrations. Three forms identify the commonality. The first is the causal commonality, the second is the generalizing commonality, third is the intertwining commonality. Confirmatory one- and two- factor analysis (CFA) and path analysis (PA) specified the…
Descriptors: Undergraduate Students, Factor Analysis, Individual Characteristics, Attribution Theory
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Dale, Brittany A.; Finch, W. Holmes; Shellabarger, Kassie A. R.; Davis, Andrew – Journal of Psychoeducational Assessment, 2021
The Wechsler Intelligence Scales for Children (WISC) are the most widely used instrument in assessing cognitive ability, especially with children with autism spectrum disorder (ASD). Previous literature on the WISC has demonstrated a divergent pattern of performance on the WISC for children ASD compared to their typically developing peers;…
Descriptors: Children, Intelligence Tests, Profiles, Autism
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Stevenson, Claire; Baas, Matthijs; van der Maas, Han – Journal of Intelligence, 2021
Despite decades of extensive research on creativity, the field still combats psychometric problems when measuring individual differences in creative ability and people's potential to achieve real-world outcomes that are both original and useful. We think these seemingly technical issues have a conceptual origin. We therefore propose a minimal…
Descriptors: Creativity, Psychometrics, Individual Differences, Theories
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Wang, Tengfei; Li, Chenyu; Ren, Xuezhu; Schweizer, Karl – Journal of Intelligence, 2021
Working memory capacity (WMC) and fluid intelligence (Gf) are highly correlated, but what accounts for this relationship remains elusive. Process-overlap theory (POT) proposes that the positive manifold is mainly caused by the overlap of domain-general executive processes which are involved in a battery of mental tests. Thus, executive processes…
Descriptors: Short Term Memory, Executive Function, Intelligence, Foreign Countries
Lincke, Alisa; Jansen, Marc; Milrad, Marcelo; Berge, Elias – Research and Practice in Technology Enhanced Learning, 2021
Web-based learning systems with adaptive capabilities to personalize content are becoming nowadays a trend in order to offer interactive learning materials to cope with a wide diversity of students attending online education. Learners' interaction and study practice (quizzing, reading, exams) can be analyzed in order to get some insights into the…
Descriptors: Artificial Intelligence, Prediction, Electronic Learning, Repetition
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Fernandez, Jose M.; Yetter, Erin A.; Holder, Kim – Journal of Economic Education, 2021
The authors of this article use text mining techniques to uncover hidden or latent topics in economic education. The common use of JEL codes only identifies the academic setting for each paper but does not identify the underlying economic concept the paper addresses. An unsupervised machine learning algorithm called Latent Dirichlet Allocation is…
Descriptors: Economics Education, Educational Research, Artificial Intelligence, Scholarship
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