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Tanya Linden; Kewei Yuan; Antonette Mendoza – Information Systems Education Journal, 2025
Generative Artificial Intelligence (Gen AI) is making its impact on all levels of education. However, these tools must be used with caution, and it is up to instructors to teach their students responsible use of Gen AI. Therefore, there is a need to understand views of teaching staff on how to integrate Gen AI into education to maximize its…
Descriptors: Barriers, Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education
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Huiying Cai; Linmeng Lu; Bing Han; Lung-Hsiang Wong; Xiaoqing Gu – Educational Technology Research and Development, 2025
The potential of classroom videos to enhance reflective practices in pre-service teacher education is hindered by the sheer volume of captured activities. An AI-powered teacher dashboard could address this challenge by analyzing and visualizing information extracted from these videos, supporting reflection in video-based professional learning…
Descriptors: Preservice Teachers, Reflection, Artificial Intelligence, Technology Uses in Education
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Erik Voss; Hansun Zhang Waring – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Significant advancements in voice chatbots have spurred interest into their role in second language learning (Conium, 2008), particularly their ability to assist in the development of learners' conversation skills in a target language. Many efforts have been made to explore AI's potential to act as conversation partners for language learners. Of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Man Machine Systems
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Eryn Shelly Travis – Communication Teacher, 2025
Students explored using generative AI to create relational messages as well as audience reactions to both human-created and AI-created notes of encouragement. The activity helped students understand the practical, relational, and ethical implications of incorporating AI into communication tasks. By the end of the activity, students could discern…
Descriptors: Audience Response, Artificial Intelligence, Letters (Correspondence), Mass Media
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Shreya Virani; Sonica Rautela – International Journal of Information and Learning Technology, 2025
Purpose: The present study aims to undertake an extensive review of scholarly literature by exploring the intersection of the metaverse and education. Design/methodology/approach: The researchers used the relevant documents from the Scopus database to conduct bibliometric analysis. The data were retrieved from 2010 to February 2024. Citation,…
Descriptors: Social Media, Educational Research, Educational Trends, Computer Mediated Communication
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Yohan Hwang; Seongyong Lee; Jaeho Jeon – Education and Information Technologies, 2025
Alongside technological advances, the educational potential of artificial intelligence (AI) chatbots and the metaverse has generated significant interest in the field of computer-assisted language learning (CALL). However, despite this heightened interest, there have been no studies that have delved into the effective integration of these two…
Descriptors: Technology Integration, Technology Uses in Education, Artificial Intelligence, Computer Mediated Communication
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Tiffany Hunt; Margaret Hudson – PDS Partners: Bridging Research to Practice, 2024
Purpose: This grant-funded research utilized conversational agents (CAs), specifically Alexa Flash Briefings, to deliver supplemental audio content across educational settings, expanding the online learning environment of graduate students, residency teachers and mentors. The study aimed to determine the perceived usability of Flash Briefings and…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Graduate Students, Student Teachers
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Liang, Yicong; Zou, Di; Xie, Haoran; Wang, Fu Lee – Smart Learning Environments, 2023
The pretrained large language models have been widely tested for their performance on some challenging tasks including arithmetic, commonsense, and symbolic reasoning. Recently how to combine LLMs with prompting techniques has attracted lots of researchers to propose their models to automatically solve math word problems. However, most research…
Descriptors: Science Instruction, Physics, Artificial Intelligence, Computer Mediated Communication
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Ghazala Bilquise; Samar Ibrahim; Sa'Ed M. Salhieh – Education and Information Technologies, 2024
The study explores factors affecting university students' behavioural intentions in adopting an academic advising chatbot. The study focuses on functional, socio-emotional, and relational factors affecting students' acceptance of an AI-driven academic advising chatbot. The research is based on a conceptual model derived from several constructs of…
Descriptors: Academic Advising, College Students, Intention, Artificial Intelligence
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Kevin Peyton; Saritha Unnikrishnan; Brian Mulligan – Discover Education, 2025
Within the university sector, student recruitment and enrolment are key strategies as institutions strive to attract, retain and engage students. This strategy is underpinned by the provision of services, applications and technologies that facilitate lecturing and support staff. Universities that offer online learning have a particular incentive…
Descriptors: Universities, Artificial Intelligence, Computer Mediated Communication, College Students
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Olena Bolgova; Paul Ganguly; Volodymyr Mavrych – Anatomical Sciences Education, 2025
Integrating artificial intelligence, particularly large language models (LLMs), into medical education represents a significant new step in how medical knowledge is accessed, processed, and evaluated. The objective of this study was to conduct a comprehensive analysis comparing the performance of advanced LLM chatbots in different topics of…
Descriptors: Comparative Analysis, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
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Bozkurt, Aras – Asian Journal of Distance Education, 2023
Generative AI, specifically ChatGPT, represents a significant technological advancement in natural language processing (NLP) large language models (LLM) with far-reaching implications in many dimensions of our lives, including education. This paper discusses the prospects of generative AI in utilizing language and its potential role as a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Computer Mediated Communication
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Lancaster, Thomas – International Journal for Educational Integrity, 2023
Text generation tools, often presented as a form of generative artificial intelligence, have the potential to pose a threat to the integrity of the educational system. They can be misused to afford students marks and qualifications that they do not deserve. The emergence of recent tools, such as ChatGPT, appear to have left the educational…
Descriptors: Artificial Intelligence, Natural Language Processing, Integrity, Educational Technology
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Mohammed Muneerali Thottoli; Badria Hamed Alruqaishi; Arockiasamy Soosaimanickam – Contemporary Educational Technology, 2024
Purpose: Chatbots and artificial intelligence (AI) have the potential to alleviate some of the challenges faced by humans. Faculties frequently swamped with teaching and research may find it difficult to act in a parental role for students by offering them individualized advice. Hence, the primary purpose of this study is to review the literature…
Descriptors: Academic Advising, Artificial Intelligence, Technology Uses in Education, Role
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Puying Wang – European Journal of Education, 2025
Information technology contributes to the transformation of the learning process because it changes the traditional system of teaching, based on outdated methodologies. The paper examined the current technologies used in music education in the context of learning process improvements in China. A sociological survey was conducted using the Stapel…
Descriptors: Music Education, Technology Uses in Education, Artificial Intelligence, Individualized Instruction
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