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Amr Abdelazim; Musabah Al Breiki; Zuheir N. Khlaif – Education and Information Technologies, 2025
The adoption of artificial intelligence (AI) in educational administration is gaining momentum, yet understanding the factors influencing its acceptance remains critical. This study examines the adoption of Generative AI, specifically Gemini, by school headmasters, assistants, and administrative staff in Oman, with a focus on the mediating role of…
Descriptors: Artificial Intelligence, Trust (Psychology), Decision Making, Instructional Leadership
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Jan Erik Dahl; Anders Mørch – Education and Information Technologies, 2025
Learning Objects (LOs) have long aimed to make digital education scalable and reusable, yet their alignment with constructivist learning remains contested. This study offers a structured comparison of traditional LO design principles and constructivist learning metaphors--acquisition, participation, and knowledge creation--to examine how emerging…
Descriptors: Constructivism (Learning), Resource Units, Alignment (Education), Electronic Learning
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Antonia Scholkmann; Maja Højslet Schurer; Cecilie Hviid – Journal of Problem Based Learning in Higher Education, 2025
This article presents a design experiment in which generative artificial intelligence (GAI) was topically integrated into a Problem-based Learning module in a pedagogical study programme with the intention to generate insights for both, future GAI-in-PBL practice and theory. Based on various data (student reports, notes, a focus group interview,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Problem Based Learning, Student Attitudes
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Huiling Ding – College Composition and Communication, 2025
In response to disruptions introduced to the job market by AI résumé screeners, this article introduces a novel theoretical framework for the life cycle of artificial intelligence systems to help unblackbox résumé screening AI systems. It then applies the AI life cycle framework to a digital case study of RChilli's job-résumé matching algorithm.…
Descriptors: Artificial Intelligence, Resumes (Personal), Algorithms, Computation
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Walters, Glenn D. – Journal of Early Adolescence, 2022
The goal of this study was to test nonverbal intelligence and neighborhood social capital as protective factors against future delinquency in early adolescent youth placed at risk by virtue of their involvement in childhood conduct problems. Analyzing longitudinal data from 3,028 youth (1,565 boys, 1,463 girls) in one cohort of the Longitudinal…
Descriptors: Social Capital, Resilience (Psychology), At Risk Persons, Behavior Problems
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Koch, Marco; Spinath, Frank M.; Greiff, Samuel; Becker, Nicolas – Journal of Intelligence, 2022
Figural matrices tasks are one of the most prominent item formats used in intelligence tests, and their relevance for the assessment of cognitive abilities is unquestionable. However, despite endeavors of the open science movement to make scientific research accessible on all levels, there is a lack of royalty-free figural matrices tests. The Open…
Descriptors: Intelligence, Intelligence Tests, Computer Assisted Testing, Test Items
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Swain, Riley H.; O'Hare, Aminda J.; Brandley, Kamila; Gardner, A. Tye – Cognitive Research: Principles and Implications, 2022
Facial expressions provide key information for successful social interactions. Recent research finds that accurate perception of emotion expressions decreases when faces are presented with face masks. What is unknown is how individual differences in social intelligence may influence perception of masked emotion expressions. In this study,…
Descriptors: Nonverbal Communication, Psychological Patterns, Visual Perception, Prediction
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Marshall, Ruth; Pardo, Abelardo; Smith, David; Watson, Tony – British Journal of Educational Technology, 2022
For the developers of next-generation education technology (EdTech), the use of Learning Analytics (LA) is a key competitive advantage as the use of some form of LA in EdTech is fast becoming ubiquitous. At its core LA involves the use of Artificial Intelligence and Analytics on the data generated by technology-mediated learning to gain insights…
Descriptors: Educational Technology, Learning Analytics, Ethics, Privacy
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Muller, Ashley Elizabeth; Ames, Heather Melanie R.; Jardim, Patricia Sofia Jacobsen; Rose, Christopher James – Research Synthesis Methods, 2022
Systematic reviews are resource-intensive. The machine learning tools being developed mostly focus on the study identification process, but tools to assist in analysis and categorization are also needed. One possibility is to use unsupervised automatic text clustering, in which each study is automatically assigned to one or more meaningful…
Descriptors: Artificial Intelligence, Man Machine Systems, Automation, Literature Reviews
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Sauli, Florinda; Wenger, Matilde; Fiori, Marina – Empirical Research in Vocational Education and Training, 2022
Interventions in emotional competences and scientific studies of emotional competence are flourishing in the educational context. However, we find very few programs in Europe involving emotional interventions in vocational education and training (VET) and a dearth of scientific contributions. Our purpose with this paper is twofold: (a) we provide…
Descriptors: Emotional Intelligence, Competence, Vocational Education, Foreign Countries
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Xu, Weiqi; Ouyang, Fan – Education and Information Technologies, 2022
Artificial Intelligence in Education (AIEd) is an emerging interdisciplinary field that applies artificial intelligence technologies to transform instructional design and student learning. However, most research has investigated AIEd from the technological perspective, which cannot achieve a deep understand of the complex roles of AI in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Instructional Design, Role
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Wechsler, Solange Muglia; Peixoto, Evandro Morais; Gibim, Queila Guise Milan Teller; Bruno Mundim, Maria Celia; Ribeiro, Rosangela Kátia Sanches Mazzorana; de Souza, Adriana Ferreira – Creativity Research Journal, 2022
Assessments of intelligence have neglected to examine creativity in most test batteries, thus inhibiting a complete understanding of cognitive functioning. This study aimed to analyze whether creativity could be combined with intelligence in a group test battery (BAICA- Intelligence and Creativity Battery) and to verify whether creativity was…
Descriptors: Intelligence Tests, Creativity, Adolescents, Adults
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Schroeders, Ulrich; Schmidt, Christoph; Gnambs, Timo – Educational and Psychological Measurement, 2022
Careless responding is a bias in survey responses that disregards the actual item content, constituting a threat to the factor structure, reliability, and validity of psychological measurements. Different approaches have been proposed to detect aberrant responses such as probing questions that directly assess test-taking behavior (e.g., bogus…
Descriptors: Response Style (Tests), Surveys, Artificial Intelligence, Identification
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Hsueh, Sung-Lin; Zhou, Bin; Chen, Yu-Lung; Yan, Min-Ren – International Journal of Technology and Design Education, 2022
Cultural and creative products are incredibly diverse that difficult to mass-produce and fail to meet market demands. The unique characteristics and the cultural and sales value of cultural and creative products must be highlighted through the application of multifunctional design. As a scientific approach, the Delphi method and fuzzy logic theory…
Descriptors: Cultural Influences, Design, Creativity, Semantics
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Foglia, Victoria; Siddiqui, Hasan; Khan, Zainab; Liang, Stephanie; Rutherford, M. D. – Journal of Autism and Developmental Disorders, 2022
If neurotypical people rely on specialized perceptual mechanisms when perceiving biological motion, then one would not expect an association between task performance and IQ. However, if those with ASD recruit higher order cognitive skills when solving biological motion tasks, performance may be predicted by IQ. In a meta-analysis that included 19…
Descriptors: Autism Spectrum Disorders, Intelligence Quotient, Motion, Visual Perception
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