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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
Chenglu Li; Bailing Lyu – British Journal of Educational Technology, 2025
A promising approach to support students' math learning effectively, automatically and at scale within existing learning environments is conversational artificial intelligence (ConvAI). Although previous studies have suggested ConvAI's potential to guide, facilitate and enhance learning, its effects on students' conceptual change and academic…
Descriptors: Learning Motivation, Affordances, Computer Mediated Communication, Artificial Intelligence
Weipeng Shen; Xiao-Fan Lin; Jiachun Liu; Xinxian Liang; Ruiqing Chen; Xiaoyun Lai; Xinwen Zheng – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (GenAI) chatbots extend transformative impact in higher education. Current research requires more comprehensive evaluations of the collaborative learning fostered by students and GenAI chatbots. However, existing articles have rarely explored the dynamic process of student--AI collaboration in higher…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
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
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
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
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
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
Rong Yaojun; Kizito Tekwa – Education and Information Technologies, 2025
Research on using generative artificial intelligence (GenAI) chatbots in learning environments continues to underpin research in and out of academia. However, GenAI text-to-video (T2V) models have not been adequately investigated in academia, mostly due to their novelty. That means their potential to improve learning remains to be determined. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Captions, Video Technology
Christian Tarchi; Alessandra Zappoli; Lidia Casado Ledesma; Eva Wennås Brante – International Journal of Artificial Intelligence in Education, 2025
ChatGPT, a chatbot based on a Generative Pre-trained Transformer model, can be used as a teaching tool in the educational setting, providing text in an interactive way. However, concerns point out risks and disadvantages, as possible incorrect or irrelevant answers, privacy concerns, and copyright issues. This study aims to categorize the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing (Composition), Computer Mediated Communication
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
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
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
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
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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