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Harry Barton Essel; Dimitrios Vlachopoulos; Henry Nunoo-Mensah; John Opuni Amankwa – British Journal of Educational Technology, 2025
Conversational user interfaces (CUI), including voice interfaces, which allow users to converse with computers via voice, are gaining wide popularity. VoiceBots allow users to receive a response in real-time, regardless of the communication device. VoiceBots have been explored in fields such as customer service to automate repetitive queries and…
Descriptors: Foreign Countries, Artificial Intelligence, Program Effectiveness, Undergraduate Students
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Yongtian Cheng; K. V. Petrides – Educational and Psychological Measurement, 2025
Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…
Descriptors: Psychological Studies, Artificial Intelligence, Cognitive Processes, Predictive Validity
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Shoba S. Meera; Divya Swaminathan; Sri Ranjani Venkata Murali; Reny Raju; Malavi Srikar; Sahana Shyam Sundar; Senthil Amudhan; Alejandrina Cristia; Rahul Pawar; Achuth Rao; Prathyusha P. Vasuki; Shree Volme; Ashok Mysore – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The Language ENvironment Analysis (LENA) technology uses automated speech processing (ASP) algorithms to estimate counts such as total adult words and child vocalizations, which helps understand children's early language environment. This ASP has been validated in North American English and other languages in predominantly monolingual…
Descriptors: Foreign Countries, Multilingualism, Adults, Speech Communication
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Jan Gunis; L'ubomir Snajder; L'ubomir Antoni; Peter Elias; Ondrej Kridlo; Stanislav Krajci – IEEE Transactions on Education, 2025
Contribution: We present a framework for teachers to investigate the relationships between attributes of students' solutions in the process of problem solving or computational thinking. We provide visualization and evaluation techniques to find hidden patterns in the students' solutions which allow teachers to predict the specific behavior of…
Descriptors: Artificial Intelligence, Educational Games, Game Based Learning, Problem Solving
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Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
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Marwan Mohammad Abualrob – Contemporary Educational Technology, 2025
This study aims to uncover the prompts most frequently repeated by pre-service teachers when using the Copilot technique, as well as their reflections on its use in preparing and planning science lessons for fourth graders. The qualitative research methodology with an exploratory case-study design was conducted on a purposeful sample of 20…
Descriptors: Preservice Teachers, Artificial Intelligence, Technology Uses in Education, Grade 4
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Reese Butterfuss; Harold Doran – Educational Measurement: Issues and Practice, 2025
Large language models are increasingly used in educational and psychological measurement activities. Their rapidly evolving sophistication and ability to detect language semantics make them viable tools to supplement subject matter experts and their reviews of large amounts of text statements, such as educational content standards. This paper…
Descriptors: Alignment (Education), Academic Standards, Content Analysis, Concept Mapping
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Jesús J. Cambra-Fierro; María Fuentes Blasco; María-Eugenia Eugenia López-Pérez; Andreea Trifu – Education and Information Technologies, 2025
Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI) tools across a variety of areas. Higher education, like other domains, has embraced these innovations, with ChatGPT emerging as one of the latest additions. Faculty perception, ability, and…
Descriptors: Educational Technology, Artificial Intelligence, College Faculty, Teacher Attitudes
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Tommy Tanu Wijaya; Mingyu Su; Yiming Cao; Robert Weinhandl; Tony Houghton – Education and Information Technologies, 2025
Integrating AI Chatbots into teaching and learning activities is a growing trend, and understanding the readiness of preservice mathematics teachers to use AI Chatbots is crucial for successful implementation in educational settings. This study examines the factors influencing the adoption of AI Chatbots by preservice mathematics teachers in…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Emmanuel Fokides; Eirini Peristeraki – Education and Information Technologies, 2025
This research analyzed the efficacy of ChatGPT as a tool for the correction and provision of feedback on primary school students' short essays written in both the English and Greek languages. The accuracy and qualitative aspects of ChatGPT-generated corrections and feedback were compared to that of educators. For the essays written in English, it…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Elementary School Students
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Alison M. O'Connor; Jennifer Gongola; Kaila C. Bruer; Thomas D. Lyon; Angela D. Evans – Applied Cognitive Psychology, 2025
The accurate detection of children's truthful and dishonest reports is essential as children can serve as important providers of information. Research using automated facial coding and machine learning found that children who were asked to lie about an event were more likely to look surprised when hearing the first question during an interview…
Descriptors: Deception, Nonverbal Communication, Recognition (Psychology), Children
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Jinglei Yu; Shengquan Yu; Ling Chen – British Journal of Educational Technology, 2025
Video-based teacher online learning enables teachers to engage in reflective practice by watching others' classroom videos, providing peer feedback (PF) and reviewing others' work. However, the quality and reliability of PF often suffer due to variations in teaching proficiency among providers, which limits its usefulness for reviewers. To improve…
Descriptors: Artificial Intelligence, Peer Evaluation, Feedback (Response), Reflection
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Richard Hall – International Journal of Educational Technology in Higher Education, 2024
This article situates the potential for intellectual work to be renewed through an enriched engagement with the relationship between indigenous protocols and artificial intelligence (AI). It situates this through a dialectical storytelling of the contradictions that emerge from the relationships between humans and capitalist technologies, played…
Descriptors: Artificial Intelligence, Social Systems, Protocol Analysis, Technological Advancement
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Michelle D. Lazarus; Mandy Truong; Peter Douglas; Neil Selwyn – Anatomical Sciences Education, 2024
Anatomy educators are often at the forefront of adopting innovative and advanced technologies for teaching, such as artificial intelligence (AI). While AI offers potential new opportunities for anatomical education, hard lessons learned from the deployment of AI tools in other domains (e.g., criminal justice, healthcare, and finance) suggest that…
Descriptors: Artificial Intelligence, Anatomy, Barriers, Human Body
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Brandon Mattalo – Journal of Legal Studies Education, 2024
While it is important to research the negative impact of generative artificial intelligence on academic integrity, academics should focus most of their efforts on the opportunities these technologies present for improving pedagogical practices. In this note, I attempt to flip the narrative from one of fear to one of opportunity. I suggest that…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
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