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Qian Liu; Anjin Hu; Tehmina Gladman; Steve Gallagher – Innovative Higher Education, 2025
ChatGPT has sparked heated discussion in higher education since its public release and increasing empirical studies have been made available examining its application to higher education teaching and learning. To capture and synthesize the initial scholarly developments in this topic, we undertook a scoping review of empirical research into the…
Descriptors: Artificial Intelligence, Natural Language Processing, Higher Education, Student Evaluation
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Jing Chen; Kaiyu Huang; Chun Lai; Tan Jin – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Critical thinking is an essential skill in the age of generative artificial intelligence (GenAI). GenAI affords dialectic argumentation, which provides opportunities for the development of critical thinking in argumentation (CTA). However, there was limited empirical evidence of how learners specifically utilize GenAI to construct argumentation.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Critical Thinking, Persuasive Discourse
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Saeun Lee; Juuso Eronen – Discover Education, 2025
The integration of advanced generative AI has profoundly influenced higher education, especially in language learning. In Japan's exam-focused and teacher-centered English education system, students have few opportunities to use generative AI to enhance critical skills like analysis, evaluation, and creativity. Learning often remains passive, with…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, English (Second Language)
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Johanna Colgrove; Hylkje Geertsema; Floortje d'Hont; Éva Kalmár; Joost Maarschalkerweerd; Dimphna H. Meijer; Jill Slinger; Martijn Wackers; Hegias Mira-Bontenbal – European Journal of STEM Education, 2025
As current challenges become more complex, bringing together people from different backgrounds to solve multifaceted problems has become crucial in the STEM field. There is growing recognition of the need to explicitly teach students the skills necessary to conduct inter- and transdisciplinary science, including communication, collaboration,…
Descriptors: Biomedicine, STEM Education, Interdisciplinary Approach, Skill Development
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Daniel B. Hajovsky; Christopher R. Niileksela; Jacob Robbins; Yixuan Sun – Journal of Psychoeducational Assessment, 2025
Few studies have examined how cognitive-reading relations vary for children and adolescents with different levels of general cognitive ability. This may be instrumental in understanding the development of academic skills and learning difficulties. Research suggests reading development should emphasize the influence of contextual factors that have…
Descriptors: Cognitive Ability, Reading Ability, Reading Achievement, Academic Achievement
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Ning Ma; Yifan Sun; Lei Du – Education and Information Technologies, 2025
Online training has become pivotal for teacher professional development, yet it faces challenges such as sentiment burnout and low learning achievement. To capture sentiment information non-invasively, this study employs a text-based sentiment analysis approach to examine the dynamic sentiment states of teacher-learners, thereby revealing the…
Descriptors: Electronic Learning, Training, Online Courses, Faculty Development
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Lea Katharina Dietrich; Simone Grassini – Education and Information Technologies, 2025
Artificial intelligence (AI) has garnered significant attention in recent years, especially following the introduction of generative large language model (LLM)-based chatbots. This study investigates the factors influencing the adoption of ChatGPT, a widely used AI-powered chatbot, among students and teachers. Using the Unified Theory of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Comparative Education
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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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