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Showing 1 to 15 of 156 results Save | Export
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Emmanuel Senior Tenakwah; Gideon Boadu; Emmanuel Junior Tenakwah; Michael Parzakonis; Mark Brady; Penny Kansiime; Shannon Said; Sarah Eyaa; Raymond Kwojori Ayilu; Ciprian Radavoi; Alan Berman – Knowledge Management & E-Learning, 2025
The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis…
Descriptors: Higher Education, Evaluation Methods, Artificial Intelligence, Computer Software
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Soha Rawas – Education and Information Technologies, 2024
Artificial intelligence (AI) technologies have the potential to completely transform how we teach and learn in higher education. ChatGPT, a language model developed by OpenAI, is one such tool that can deliver individualized recommendations to students, increase collaboration and communication, and improve student learning results. However, there…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Teaching Methods
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Pamela P. Rogers; Charlotte Allen; Antoine Busby – Journal of Marketing Education, 2025
Artificial intelligence (AI) is revolutionizing and transforming industries around the globe. Through the exploration of various AI applications in teaching, research, and administrative tasks, this article illuminates both the potential and limitations of AI for enhancing faculty productivity while improving their effectiveness and innovation in…
Descriptors: Marketing, Business Education, Artificial Intelligence, Computer Software
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Ana Mouta; Eva María Torrecilla-Sánchez; Ana María Pinto-Llorente – Education and Information Technologies, 2024
In the 1970s, research on artificial intelligence in education emerged with the aim of acknowledging and accommodating the psychological aspects of the learning process. Since then, its applications have evolved and it is now used for student learning and assessment, teachers' pedagogical practice, management of educational institutions, and…
Descriptors: Ethics, Artificial Intelligence, Delphi Technique, Computer Software
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L. Perla; L. S. Agrati; A. Beri – Professional Development in Education, 2025
The study presented investigated the relations between personal factors and teachers' attitudes towards AI in order to deduce implications for professional learning and test a "post-teaching" theoretical hypothesis. A survey was conducted on the opinions of 177 teachers involved in the secondary school qualification course. The teachers…
Descriptors: Faculty Development, Teacher Attitudes, Artificial Intelligence, Risk
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Moses Kumi Asamoah; Jessica Amarteifio – Discover Education, 2025
This systematic review explores the use of Intelligent Tutoring Systems (ITS) in fostering creativity, innovation, and personalized learning experiences among university students in Ghana. The review also examines the challenges associated with the implementation of ITS, along with the ethical considerations involved. Employing an interpretive…
Descriptors: Ethics, Barriers, Intelligent Tutoring Systems, Technology Integration
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Tafesse, Wondwesen – International Journal of Educational Technology in Higher Education, 2022
With the widespread adoption of social networking sites among college students, discerning the relationship between social networking sites use and college students' academic performance has become a major research endeavor. However, much of the available research in this area rely on student self-reports and findings are notably inconsistent.…
Descriptors: Social Networks, College Students, Computer Software, Academic Achievement
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J. Bradley Barger; Danielle N. Edwards – Anatomical Sciences Education, 2024
Skull anatomy is a difficult region for anatomy students to learn and understand but is necessary for a variety of health professional students. To improve learning, a 3D-printed human skull was developed, produced, and distributed to a course of 83 dental students for use as a take-home study tool over the 10-week anatomy course. The 70% scale…
Descriptors: Anatomy, Student Attitudes, Dental Schools, Computer Software
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Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
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Nicolas Van Vlasselaer; Jona Van den Broeck; Ben Serrien; Erik Cattrysse – Anatomical Sciences Education, 2025
Integration of 3D photogrammetry models into anatomical education can enhance students' understanding of complex anatomical structures. With advancements in photogrammetry technology, this integration has become more accessible. Interactive, photorealistic models complement traditional methods such as donor dissections. This study evaluates the…
Descriptors: Technology Uses in Education, Technology Integration, Computer Simulation, Photography
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Alexandra Rysul'ova – NORDSCI, 2023
Virtual worlds, like Second Life, are transformative innovations in education. These immersive 3D environments offer teachers and students unique opportunities beyond traditional classrooms. They foster active learning, allowing students to interact, manipulate objects, and engage with diverse content. This multimodal approach accommodates various…
Descriptors: Information Security, Computer Simulation, Barriers, Teaching Methods
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Guangrui Fan; Dandan Liu; Rui Zhang; Lihu Pan – International Journal of STEM Education, 2025
Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Programming
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Maria Tsiani; Ioannis Lefkos; Nikolaos Fachantidis – Journal of Pedagogical Research, 2025
As AI continues to transform educational practices, understanding its potential benefits, limitations, and ethical implications is critical. This study explores future educators' perceptions of generative ?? in higher education. Through a mixed-methods approach, this research gathered insights from undergraduate and master's level students on…
Descriptors: Graduate Students, Undergraduate Students, Student Attitudes, Technology Integration
Sena Sayici; Selami Aydin – Online Submission, 2025
Learners' achievements, motivation, and emotional states are closely linked to the roles and effectiveness of their teachers, while several challenges in foreign language classrooms hinder teacher efficacy. Artificial intelligence (AI) has the potential to offer substantial solutions by addressing individual student needs, expectations, and…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
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Marie Utterberg Modén; Marisa Ponti; Johan Lundin; Martin Tallvid – Scandinavian Journal of Educational Research, 2025
The paper emphasises the need to consider the social, political, and economic contexts within which educational systems operate and use Artificial Intelligence (AI). Focused on Swedish compulsory education, this study explores whether the use of AI envisioned by national authorities and educational technology companies contributes to unfairness.…
Descriptors: Ethics, Equal Education, Compulsory Education, Artificial Intelligence
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