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Katja Fleischmann – Canadian Journal of Learning and Technology, 2024
Generative Artificial Intelligence (GenAI) is re-defining the way higher education design is taught and learned. The explosive growth of GenAI in design practice demands that design educators ensure students are prepared to enter the design profession with the knowledge and experience of using GenAI. To facilitate GenAI's introduction in a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Graphic Arts, Design
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Irene Spada; Vito Giordano; Filippo Chiarello; Marco Abate; Francesca M. Dovetto; Gualtiero Fantoni – Studies in Higher Education, 2024
In the last decade, the fast technological and social transformations have been placing new demands on Higher Education (HE) systems to update their educational offers. Grounded in the broader discourse on the impact of such transformation on HE, this article relies on Text Mining (TM). We consider as a case study the Italian HE system, providing…
Descriptors: Higher Education, Technological Advancement, Social Change, Intellectual Disciplines
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Tim Gander; Brendon Shaw – Journal of Technology and Teacher Education, 2024
In an era where artificial intelligence (AI) is rapidly transforming various sectors, including education, understanding how educators perceive and integrate AI into their teaching practices is crucial. This study addresses the growing need to explore educators' perspectives on AI's impact on education, particularly its implications for effective…
Descriptors: Artificial Intelligence, Teaching Methods, Teacher Attitudes, Foreign Countries
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Mario de la Puente; Jose Torres; Ana Laura Blanco Troncoso; Yuraima Yuliza Hernández Meza; Jenny Xiomara Marquez Carrascal – Smart Learning Environments, 2024
This study investigated the effectiveness of using ChatGPT, a large language model (LLM), to enhance critical thinking and argumentation skills among undergraduate students studying international relations in a developing nation context. A total of 95 participants were randomly assigned to an experimental group (n = 48) and a control group (n =…
Descriptors: Artificial Intelligence, Computer Uses in Education, Critical Thinking, Persuasive Discourse
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Jiahong Su; Weipeng Yang – ECNU Review of Education, 2024
Purpose: To align with the artificial intelligence and robotics (AIR) research and policy agenda, this paper puts forth an adapted five big ideas framework specifically tailored to teaching young children about artificial intelligence (AI) via robotics. Design/Approach/Methods: Grounded in early childhood education research, the proposed framework…
Descriptors: Artificial Intelligence, Robotics, Young Children, Integrated Curriculum
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Dan Wang – International Review of Research in Open and Distributed Learning, 2024
This study examines the effects of corrective feedback (CF) on language learners' writing anxiety, writing complexity, fluency, and accuracy, and compares the effectiveness of feedback from human teachers with an AI-driven application called Poe. The study included three intact classes, each with 25 language learners. Using a quasi-experimental…
Descriptors: Artificial Intelligence, Feedback (Response), Anxiety, Foreign Countries
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Selay Arkün-Kocadere; Seyma Çaglar-Özhan – International Review of Research in Open and Distributed Learning, 2024
Via AI video generators, it is possible to create educational videos with humanistic instructors by simply providing a script. The characteristics of video types and features of instructors in videos impact video engagement and, consequently, performance. This study aimed to compare the impact of human instructors and AI-generated instructors in…
Descriptors: Video Technology, Lecture Method, Artificial Intelligence, Animation
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Salih Rakap – Journal of Special Education Technology, 2024
Novice special education teachers often face challenges in developing high-quality Individualized Education Program (IEP) goals for children with autism. The use of artificial intelligence (AI) tools, such as ChatGPT, has shown potential in supporting teachers in IEP development. This study aimed to investigate the impact of ChatGPT on the…
Descriptors: Special Education Teachers, Beginning Teachers, Individualized Education Programs, Autism Spectrum Disorders
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Natalia Kucirkova; Alexis Hiniker – Learning, Media and Technology, 2024
This paper develops a critical perspective on the use of conversational agents (CAs) with children at home. Drawing on interviews with eleven parents of pre-school children living in Norway, we illustrate the ways in which parents resisted the values epitomised by CAs. We problematise CAs' attributes in light of parents' ontological perceptions of…
Descriptors: Parents, Parent Attitudes, Parent Child Relationship, Discussion
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Andrew Williams – International Journal of Research in Education and Science, 2024
Effective student feedback can have a significant influence on student motivation, learning and performance. However, feedback practices can be difficult to implement, thereby inhibiting the potential of feedback for student learning. Despite numerous attempts to improve the quality of feedback and student feedback literacy, difficulties persist,…
Descriptors: Feedback (Response), College Students, Barriers, Best Practices
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Davy Tsz Kit Ng; Chee Wei Tan; Jac Ka Lok Leung – British Journal of Educational Technology, 2024
In recent years, AI technologies have been developed to promote students' self-regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI-based (SRLbot) and rule-based AI chatbots (Nemobot) in a 3-week science learning experience with 74 Secondary 4 students in…
Descriptors: Student Empowerment, Learning Strategies, Self Management, Science Education
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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Ramon Mayor Martins; Christiane Gresse von Wangenheim; Marcelo Fernando Rauber; Jean Carlo Hauck – International Journal of Artificial Intelligence in Education, 2024
Although Machine Learning (ML) is found practically everywhere, few understand the technology behind it. This presents new challenges to extend computing education by including ML concepts in order to help students to understand its potential and limits and empowering them to become creators of intelligent solutions. Therefore, we developed an…
Descriptors: Artificial Intelligence, Information Technology, Technology Uses in Education, Computer Software
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Daniel W. J. Anson – Higher Education Research and Development, 2024
Large Language Models have already begun to affect the higher education landscape. However, there is currently a lack of work investigating how these models interface -- and possibly interfere -- with literacy development. Considering literacy is critical because student learning is only made possible through language. This paper considers…
Descriptors: Academic Language, Computational Linguistics, Guidelines, Risk
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Ghizlane Moukhliss; Khalid Lahyani; Ghizlane Diab – Journal of Education and Learning (EduLearn), 2024
Artificial intelligence (AI) has revolutionized various fields, including research and higher education. Thanks to its innovative applications, it has changed traditional teaching methods. This article aims to explore the impact of AI on these domains in Moroccan universities, focusing on its transformative influence, benefits, challenges, and…
Descriptors: Artificial Intelligence, Foreign Countries, Higher Education, Technology Uses in Education
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