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Showing 1 to 15 of 22 results Save | Export
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Joost C. F. de Winter – International Journal of Artificial Intelligence in Education, 2024
Launched in late November 2022, ChatGPT, a large language model chatbot, has garnered considerable attention. However, ongoing questions remain regarding its capabilities. In this study, ChatGPT was used to complete national high school exams in the Netherlands on the topic of English reading comprehension. In late December 2022, we submitted the…
Descriptors: Foreign Countries, Artificial Intelligence, English (Second Language), Language Tests
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Hanneke Theelen; Joyce Vreuls; Jim Rutten – International Journal of Technology in Education, 2024
The rapid development of artificial intelligence and large language models (LLMs) has led to significant advancements in applying machine learning techniques across diverse disciplines, including educational science research. This study investigates the potential of LLMs like ChatGPT for qualitative data analysis, focusing on open, axial,…
Descriptors: Artificial Intelligence, Science Education, Educational Research, Coding
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Chris North; David Hills; Pat Maher; Jelena Farkic; Vinicius Zeilmann; Sue Waite; Takako Takano; Heather Prince; Kirsti Pedersen Gurholt; Nkatha Muthomi; Daniel Njenga; Te Hurinui Karaka-Clarke; Susan Houge Mackenzie; Graham French – Journal of Adventure Education and Outdoor Learning, 2024
This is a composite article which brings together the international perspectives of the editorial board of the Journal of Adventure Education and Outdoor Learning to explore the impacts of artificial intelligence (AI) on the field of adventure education and outdoor learning (AE/OL). Building on the AE/OL profession's response to the impacts of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Adventure Education, Outdoor Education
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Navreet Kaur Rana – Higher Education for the Future, 2025
The article is an exploratory study assessing the stance selected higher education institutes (HEIs) have adopted regarding the usage of generative artificial intelligence (AI) applications in academic research. The HEIs are selected based on purposive sampling in order to showcase different stances they have adopted to curb plagiarism and uphold…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Plagiarism
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Yenchun Wu; Marco Fabio Benaglia – International Journal of Science Education, Part B: Communication and Public Engagement, 2024
For over two decades now, the application of Citizen Science to Education has been evolving, and fundamental topics, such as the drivers of motivation to participate in Citizen Science projects, are still under discussion. Some recent developments, though, like the use of Artificial Intelligence to support data collection and validation, seem to…
Descriptors: Citizen Participation, Scientific Research, Science Education, Educational Development
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Abdelwahab, Hanna Rahma; Rauf, Abdul; Chen, Dadi – Industry and Higher Education, 2023
The application of artificial intelligence (AI) brings new demand to the job market. The concern now is whether higher education institutions (HEIs) have adequately prepared young learners to work in an AI work environment. This research seeks to explore business students' perceptions of their HEIs in the Netherlands in preparing them for AI work…
Descriptors: Business Education, Work Environment, Artificial Intelligence, Student Attitudes
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Seyyed Kazem Banihashem; Nafiseh Taghizadeh Kerman; Omid Noroozi; Jewoong Moon; Hendrik Drachsler – International Journal of Educational Technology in Higher Education, 2024
Peer feedback is introduced as an effective learning strategy, especially in large-size classes where teachers face high workloads. However, for complex tasks such as writing an argumentative essay, without support peers may not provide high-quality feedback since it requires a high level of cognitive processing, critical thinking skills, and a…
Descriptors: Feedback (Response), Peer Evaluation, Artificial Intelligence, Essays
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Bernasco, Wim; Hoeben, Evelien M.; Koelma, Dennis; Liebst, Lasse Suonperä; Thomas, Josephine; Appelman, Joska; Snoek, Cees G. M.; Lindegaard, Marie Rosenkrantz – Sociological Methods & Research, 2023
Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the…
Descriptors: Video Technology, Social Science Research, Artificial Intelligence, Sociology
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Adelson de Araujo; Pantelis M. Papadopoulos; Susan McKenney; Ton de Jong – Journal of Computer Assisted Learning, 2024
Background: Sustaining productive student-student dialogue in online collaborative inquiry learning is challenging, and teacher support is limited when needed in multiple groups simultaneously. Collaborative conversational agents (CCAs) have been used in the past to support student dialogue. Yet, research is needed to reveal the characteristics…
Descriptors: Learning Analytics, Computer Mediated Communication, Artificial Intelligence, Dialogs (Language)
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Eegdeman, Irene; Cornelisz, Ilja; Meeter, Martijn; van Klaveren, Chris – Education Economics, 2023
Inefficient targeting of students at risk of dropping out might explain why dropout-reducing efforts often have no or mixed effects. In this study, we present a new method which uses a series of machine learning algorithms to efficiently identify students at risk and makes the sensitivity/precision trade-off inherent in targeting students for…
Descriptors: Foreign Countries, Vocational Schools, Dropout Characteristics, Dropout Prevention
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Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
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Conijn, Rianne; Kahr, Patricia; Snijders, Chris – Journal of Learning Analytics, 2023
Ethical considerations, including transparency, play an important role when using artificial intelligence (AI) in education. Explainable AI has been coined as a solution to provide more insight into the inner workings of AI algorithms. However, carefully designed user studies on how to design explanations for AI in education are still limited. The…
Descriptors: Ethics, Writing Evaluation, Artificial Intelligence, Essays
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Bo Sichterman; Stan van Ginkel; Melanie van Halteren; Richard van Tilborg; Omid Noroozi – International Journal of Technology in Education, 2023
Although previous research on Virtual Reality (VR) demonstrated the effects of particular learning environment characteristics on learning, none of these studies constructed their virtual learning environment from a constructive alignment perspective. Therefore, this experimental study aims to investigate the impact of a constructively aligned…
Descriptors: Computer Simulation, Artificial Intelligence, Professional Personnel, Motivation
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Carola Strobl; Iryna Menke-Bazhutkina; Niklas Abel; Marije Michel – Technology in Language Teaching & Learning, 2024
Since its release, ChatGPT has raised concerns in many teaching contexts given its threat to reliably evaluating learners' knowledge and skills. Within task-based pedagogy, however, this technology opens new avenues for second language (L2) teaching when adopting the technology as a writing buddy. Our study explores how ChatGPT as a model impacts…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Writing Instruction
Diana Toledo Figueroa; Christa Rawkins; Emily Qing; Hugo Marques de Sousa – OECD Publishing, 2024
Teacher shortages have intensified across several OECD countries, making this an urgent priority for education systems. Between 2015 and 2022, the share of students whose principals reported shortages rose from 29% to 46.7% on average across the OECD. Simultaneously, rapid technological advances, such as artificial intelligence (AI), and broader…
Descriptors: Educational Policy, Educational Change, Educational Practices, Teaching (Occupation)
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