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Jody Britten; Paul Atherton – Childhood Education, 2024
Globally, less than 10% of schools are developing uniquely local artificial intelligence (AI) policies and addressing use cases. Policies and guide rails for using AI in education that are in place have rightfully called for us to address the ethical implications and biases that can arise with regard to AI tools and systems. The landscape of what…
Descriptors: Artificial Intelligence, Technology Uses in Education, Faculty Development, Computer Assisted Instruction
Lianghai Chu – Education and Information Technologies, 2025
The rapid advancement of artificial intelligence (AI) technology has enabled the creation of digital human instructors with human-like visual and verbal characteristics. This study investigates the impact of human likeness on learner satisfaction within e-learning environments, drawing on the "Uncanny Valley" theory and the Experience…
Descriptors: Student Satisfaction, Computer Assisted Instruction, Electronic Learning, Artificial Intelligence
Ji, Hyangeun; Han, Insook; Ko, Yujung – Journal of Research on Technology in Education, 2023
Despite the increasing use of conversational artificial intelligence (AI) in language learning, few studies explored how to develop collaborative partnership between AIs and humans. This systematic review examines empirical evidence of human-computer collaboration from 24 studies conducted in an AI-integrated language learning environment and…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Man Machine Systems, Computer Assisted Instruction
Rebekah M. Chiasson; Alan K. Goodboy; Megan A. Vendemia; Nathaniel Beer; Gracyn C. Meisz; Laken Cooper; Alyssa Arnold; Austin Lincoski; William George; Cole Zuckerman; Jessica Schrout – Communication Education, 2024
Three within-subject experiments were conducted by providing students with answers to content questions across different subject matters (a definition, explanation, and example) offered by a human professor (subject-matter expert) versus generative artificial intelligence (ChatGPT). In a randomized order, students read both the expert and…
Descriptors: College Faculty, Expertise, Artificial Intelligence, Man Machine Systems
Feifei Wang; Alan C. K. Cheung; Amanda J. Neitzel; Ching Sing Chai – Review of Educational Research, 2025
Given the importance of conversation practice in language learning, chatbots, especially ChatGPT, have attracted considerable attention for their ability to converse with learners using natural language. This review contributes to the literature by examining the currently unclear overall effect of using chatbots on language learning performance…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Learning
Philip Slobodsky; Mariana Durcheva – International Journal of Mathematical Education in Science and Technology, 2025
AI-based bots (ChatGPT) are capable of solving mathematics problems, and students often use them for homework preparation, self-learning, etc. This raises a number of didactical and technical questions: How can students submit assignments containing complex mathematical expressions using only a keyboard? How should mathematics errors in ChatGPT's…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
Stojanov, Ana – International Journal of Educational Technology in Higher Education, 2023
ChatGPT, an artificial intelligence language model introduced in November 2022, is potentially applicable in many contexts, including higher education. Although academics are already using it to draft papers or develop search queries for systematic reviews, its use as a tool aiding the learning process has not been examined. To address this…
Descriptors: Technology Uses in Education, Artificial Intelligence, Autobiographies, Ethnography
Li, Kam Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2022
Purpose: This paper aims to present a comprehensive review of the present state and trends of smart education research. It addresses the need to have a systematic review of smart education to depict its research landscape in view of the growing volume of related publications. Design/methodology/approach: A bibliometric analysis of publications on…
Descriptors: Electronic Learning, Artificial Intelligence, Technology Uses in Education, Bibliometrics
David James Woo; Hengky Susanto; Chi Ho Yeung; Kai Guo; April Ka Yeng Fung – Language Learning & Technology, 2024
English as a foreign language (EFL) students' use of artificial intelligence (AI) tools that generate human-like text may enhance students' written work. However, the extent to which students use AI-generated text to complete a written composition and how AI-generated text influences the overall writing quality remain uncertain. 23 Hong Kong…
Descriptors: Artificial Intelligence, Writing Instruction, English Language Learners, English (Second Language)
Chen, Carol – ProQuest LLC, 2021
Most Taiwanese English language learners have been exposed to traditional approaches to acquiring English as a second or foreign language. Studies demonstrate current/traditional teaching practices are not the most effective for struggling English language learners, and the rate of improvement has been limited. Therefore, this study explores…
Descriptors: Foreign Countries, Bilingual Education, Blended Learning, Intervention
Foreign Language Acquisition via Artificial Intelligence and Extended Reality: Design and Evaluation
Divekar, Rahul R.; Drozdal, Jaimie; Chabot, Samuel; Zhou, Yalun; Su, Hui; Chen, Yue; Zhu, Houming; Hendler, James A.; Braasch, Jonas – Computer Assisted Language Learning, 2022
Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin to international immersion programs. However, research in multi-modal spoken dialogue in L2 combined with immersive technologies and collaborative learning…
Descriptors: Second Language Learning, Language Acquisition, Artificial Intelligence, Computer Simulation
Yuan, Chia-Ching; Li, Cheng-Hsuan; Peng, Chin-Cheng – Interactive Learning Environments, 2023
Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…
Descriptors: Artificial Intelligence, Man Machine Systems, Technology Uses in Education, Educational Technology
Cao, Yang – ProQuest LLC, 2019
Three studies were conducted to explore machine learning support of novel learning problems. The first was a study of a computer-supported online learning website, which was designed to support teachers improving their pedagogy and this work created a data-first approach for Linguistic pedagogy, and to support improved pedagogy delivery and…
Descriptors: Artificial Intelligence, Web Sites, Teacher Improvement, Instructional Improvement
Godwin-Jones, Robert – Educational Technology & Society, 2019
The rapid developments today in artificial intelligence (AI), supported by massive language data collection, are resulting in ever better digital language assistance/translation. Advances in the capabilities of intelligent services lead naturally to envisioning a future where there might be a quite different context for second language (L2) use…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
Song, Donggil – Contemporary Educational Technology, 2017
Learning-by-teaching has been identified as one of the more effective approaches to learning. Recently, educational researchers have investigated virtual environments in order to utilize the learning-by-teaching pedagogy. In a face-to-face learning-by-teaching situation, the role of the learners is to teach their peers or instructors. In virtual…
Descriptors: Intelligent Tutoring Systems, Concept Mapping, Man Machine Systems, Interaction

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