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Fernando Pedro Cardenas Hernandez; Jan Schneider; Daniele Di Mitri; Ioana Jivet; Hendrik Drachsler – British Journal of Educational Technology, 2024
Training to run is not straightforward since without proper personalised supervision and planning, people will not improve their performance and will increase the risk of injuries. This study aims to identify the different factors that influence running training programmes, examining the benefits, challenges or limitations of personalised plans.…
Descriptors: Physical Activities, Athletic Coaches, Attitudes, Artificial Intelligence
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Shunan Zhang; Xiangying Zhao; Tong Zhou; Jang Hyun Kim – International Journal of Educational Technology in Higher Education, 2024
Although previous studies have highlighted the problematic artificial intelligence (AI) usage behaviors in educational contexts, such as overreliance on AI, no study has explored the antecedents and potential consequences that contribute to this problem. Therefore, this study investigates the causes and consequences of AI dependency using ChatGPT…
Descriptors: Artificial Intelligence, Self Efficacy, Anxiety, Expectation
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Norma Ghamrawi; Tarek Shal; Najah A. R. Ghamrawi – Education and Information Technologies, 2024
This study aimed to investigate the impact of Artificial Intelligence (AI) on teacher leadership, specifically examining whether AI is expanding or regressing teacher leadership, as perceived by teachers who were using AI in their teaching practices. Using a qualitative research design, the study employed semi-structured interviews to collect data…
Descriptors: Artificial Intelligence, Teacher Leadership, Teaching Methods, Teacher Attitudes
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David Arthur; Hua-Hua Chang – Journal of Educational and Behavioral Statistics, 2024
Cognitive diagnosis models (CDMs) are the assessment tools that provide valuable formative feedback about skill mastery at both the individual and population level. Recent work has explored the performance of CDMs with small sample sizes but has focused solely on the estimates of individual profiles. The current research focuses on obtaining…
Descriptors: Algorithms, Models, Computation, Cognitive Measurement
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Il Do Ha – Measurement: Interdisciplinary Research and Perspectives, 2024
Recently, deep learning has become a pervasive tool in prediction problems for structured and/or unstructured big data in various areas including science and engineering. In particular, deep neural network models (i.e. a basic core model of deep learning) can be viewed as an extension of statistical models by going through the incorporation of…
Descriptors: Artificial Intelligence, Statistical Analysis, Models, Algorithms
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Andrés Chiappe; Juan Manuel Díaz; María Soledad Ramirez-Montoya – International Review of Research in Open and Distributed Learning, 2024
During the last decade, a growing interest in open educational resources (OER) has developed among educational researchers worldwide. This trend involves the examination of possible effects over diverse learning domains such as the development of literacy and digital skills in the context of the fourth industrial revolution. To address this…
Descriptors: Digital Literacy, Open Educational Resources, Artificial Intelligence, Usability
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M. Anthony Machin; Tanya M. Machin; Natalie Gasson – Psychology Learning and Teaching, 2024
Progress in understanding students' development of psychological literacy is critical. However, generative AI represents an emerging threat to higher education which may dramatically impact on student learning and how this learning transfers to their practice. This research investigated whether ChatGPT responded in ways that demonstrated…
Descriptors: Psychology, Higher Education, Artificial Intelligence, Intelligent Tutoring Systems
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Tamar Mikeladze; Paulien C. Meijer; Roald P. Verhoeff – European Journal of Education, 2024
Recent literature underscores the need for teachers to develop AI competencies with a recognition of the current lack of well-defined competence frameworks. This critical review investigates teachers' Artificial Intelligence (AI) competence frameworks (AI CFTs), analysing their strengths, weaknesses and practical applications for researchers,…
Descriptors: Artificial Intelligence, Digital Literacy, Teacher Competencies, Faculty Development
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Ferrara, Steve; Qunbar, Saed – Journal of Educational Measurement, 2022
In this article, we argue that automated scoring engines should be transparent and construct relevant--that is, as much as is currently feasible. Many current automated scoring engines cannot achieve high degrees of scoring accuracy without allowing in some features that may not be easily explained and understood and may not be obviously and…
Descriptors: Artificial Intelligence, Scoring, Essays, Automation
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Cohausz, Lea – International Educational Data Mining Society, 2022
Despite calls to increase the focus on explainability and interpretability in EDM and, in particular, student success prediction, so that it becomes useful for personalized intervention systems, only few efforts have been undertaken in that direction so far. In this paper, we argue that this is mainly due to the limitations of current Explainable…
Descriptors: Success, Prediction, Social Sciences, Artificial Intelligence
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Stephen J. Lind – Journal of Workplace Learning, 2025
Purpose: This study aims to investigate the effectiveness of widely adopted but under-studied synthetic humanlike spokespersons (SHS) compared to organic human spokespersons in workplace training videos. The primary aim is to evaluate whether employees will rate training videos more negatively when they perceive their trainer to be synthetic such…
Descriptors: Job Training, Trainees, Artificial Intelligence, Video Technology
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Jiahong Su – Education and Information Technologies, 2025
Although artificial intelligence (AI) is becoming more commonly integrated into our everyday lives, homes, and schools, there needs to be more research regarding parental attitudes toward using AI technologies and AI literacy education to understand better and advance AI and AI literacy in kindergarten. To address this gap, this study explored…
Descriptors: Foreign Countries, Kindergarten, Young Children, Parent Attitudes
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Smriti Mathur; Vandana Anand; Durgansh Sharma; Sushant Kr. Vishnoi – International Journal of Information and Learning Technology, 2025
Purpose: ChatGPT, a cutting-edge language model, stands as an unparalleled, unmatched conversational ally, showcasing novel versatility and intelligence in its responses. This research delves into the incorporation of ChatGPT, a powerful generative AI tool, into professional communication. This study utilizes the information system success model…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Influence of Technology
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Younjung Hwang; Yi Wu – International Journal of Art & Design Education, 2025
The advancement of generative artificial intelligence (AI) presents innovative opportunities and new challenges across various industries and academic fields. Particularly, recent advancements in generative AI, which can create images from text, are introducing new challenges in the field of graphic design education. This study discusses methods…
Descriptors: Graphic Arts, Visual Arts, Artificial Intelligence, Computer Software
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Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
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