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Kim, Jinhee; Lee, Sang-Soog – TechTrends: Linking Research and Practice to Improve Learning, 2023
A growing number of educators expect that artificial intelligence (AI) will augment students' capacities and rapidly transform the teaching and learning practice. However, there is a lack of convincing evidence on the effects of Student-AI Collaboration (SAC) on a learning task's performance. A critical examination of the effects on students'…
Descriptors: Artificial Intelligence, Cooperation, Academic Achievement, Undergraduate Students
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Yong Jik Lee; Robert O. Davis – Contemporary Educational Technology, 2024
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence
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Seongyong Lee; Jaeho Jeon – Computer Assisted Language Learning, 2024
Artificial agents, such as voice-controlled conversational agents (VCAs) built into smart devices, are becoming more prevalent in daily and educational contexts, enhancing the possibility of using them as language partners. However, research has primarily focused on the cognitive or affective outcomes of using these agents, overlooking questions…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
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Seong-Won Kim; Youngjun Lee – Education and Information Technologies, 2024
In this study, the influence of socio-cultural factors on attitudes toward artificial intelligence (AI) was investigated. In total, 1,677 Korean middle school students were selected to participate, and a test tool was used to measure the attitude toward AI. As a result, according to socio-cultural factors, middle school students' attitudes toward…
Descriptors: Foreign Countries, Middle School Students, Artificial Intelligence, Sociocultural Patterns
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Song, Donggil; Oh, Eun Young; Hong, Hyeonmi – Educational Technology & Society, 2022
The aim of this study is to evaluate the effects of a teaching simulation activity that uses a chatbot on preservice teachers' efficacy. Forty-six preservice teachers were asked to teach the chatbot the topic of school violence and how to handle it. They were assigned to one of three groups: Teaching a chatbot whose attitude was impolite, polite,…
Descriptors: Simulation, Computer Mediated Communication, Artificial Intelligence, Student Attitudes
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Unggi Lee; Yeil Jeong; Junbo Koh; Gyuri Byun; Yunseo Lee; Youngsun Hwang; Hyeoncheol Kim; Cheolil Lim – Educational Technology & Society, 2024
Debate is a universally acknowledged competency for its vital role in fostering essential skills such as analytical reasoning, eloquent communication, and persuasive argument construction. This is relevant in both formal educational settings like classrooms and informal venues such as after-school clubs. Traditional debate training methods often…
Descriptors: Artificial Intelligence, Debate, Computer Oriented Programs, Technology Uses in Education
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Thomas Dillon – English Teaching, 2024
This study explores the integration of ChatGPT, OpenAI's conversational AI, into English as a Foreign Language (EFL) classrooms at Korean universities, focusing on student interactions and language learning strategy preferences. It categorises interactions using the Strategy Inventory for Language Learning (SILL) and Strategic Self-Regulation…
Descriptors: Literacy, Artificial Intelligence, Computer Software, Synchronous Communication
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Mun, Jiyeong; Kim, Mijung; Kim, Sung-Won – Asia-Pacific Science Education, 2022
This study investigates what perspectives younger students considered and how they experienced the complexity of multiple perspectives about autonomous vehicle issues. Over the course of 6 weeks, 28 seventh-grade Korean students participated in role-play and group discussion to understand different perspectives on the issue. We qualitatively…
Descriptors: Foreign Countries, Grade 7, Automation, Motor Vehicles
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Jinhee Kim; Yoonhee Ham; Sang-Soog Lee – Australasian Journal of Educational Technology, 2024
Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been…
Descriptors: Artificial Intelligence, Computer Graphics, Freehand Drawing, Assignments
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Yang, Hyejin; Kim, Heyoung; Lee, Jang Ho; Shin, Dongkwang – ReCALL, 2022
With the growth of chatbots, concerns about implementing artificial intelligence (AI) chatbots in educational settings have consistently arisen, especially for the purpose of language learning. This study introduced a task-based voice chatbot called "Ellie", newly developed by the researchers, and examined the appropriateness of its task…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
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Jaeho Jeon; Seongyong Lee – Educational Technology & Society, 2024
Flipped learning is gaining prominence in EFL classrooms, where it has been shown to provide various advantages. However, the literature has not adequately addressed the integration of L2 interaction outside the classroom into flipped learning design. Accordingly, given the ubiquitous and interactive nature of chatbot technology, we designed a…
Descriptors: Flipped Classroom, English (Second Language), Second Language Learning, Second Language Instruction
Ji Eun Lee; Unkyoung Maeng – Journal of Pan-Pacific Association of Applied Linguistics, 2023
This study explored high school students' perceptions of using AI chatbots in English learning. Specifically, it aimed to gauge the breadth of chatbot utilization and discern perceptions surrounding potential challenges linked to their use. Thirty students from a high school took part in the survey. Data analysis involved frequency, mean and an…
Descriptors: Ethics, Student Attitudes, High School Students, Artificial Intelligence
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Kyle R. Van Horn – TESL-EJ, 2024
Building on previous research, this qualitative exploratory study investigates the impact of ChatGPT on English language classes among Korean university students. The researcher uses pre- and post-training surveys, in-class observations, and interviews to explore 120 students' perceptions of their experiences over a 15-week semester. Results…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers