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Haruo Kodama; Motofumi T. Suzuki; Yoshitomo Yaginuma – Asian Association of Open Universities Journal, 2024
Purpose: The purpose of this paper is to propose the need for an integrated system for the production, authoring, addition and revision of webcast content and a multi-device apps mechanism with rights management for Internet transmission in the perspective of the OUJ course reuse. Design/methodology/approach: This paper designs systems that reuse…
Descriptors: Open Universities, Computer Oriented Programs, Multimedia Materials, Video Technology
Songer, Robert Wesley; Yamamoto, Tomohito – Educational Research and Reviews, 2023
Recommender systems in education aim to help students make good decisions about the direction of their learning. The design of such systems in conventional research has treated the decision making process of students as a black box and assumes the best recommendations to be those that accurately predict student choices. Such an approach overlooks…
Descriptors: Artificial Intelligence, Decision Making, Decision Support Systems, Engineering Education
Mari Ueda; Isoharu Nishiguchi; Hiroshi Tanaka; Kazunori Matsumoto; Tetsuo Tanaka – International Association for Development of the Information Society, 2023
Although information technology (ICT) education is being strengthened based on the national context, there are reports suggesting a decline in young people's communication skills. This phenomenon can be attributed to the rapid development of informatisation, which includes the diversification and spread of information tools, as well as the…
Descriptors: Communication Skills, Interpersonal Communication, Information Technology, Artificial Intelligence
Sarah Elaine Eaton – Brock Education: A Journal of Educational Research and Practice, 2024
This essay explores the integration of generative artificial intelligence (GenAI) into pre-service teacher education amidst contemporary debates on technology in education. It highlights the cautious stance taken by educational authorities, such as the Alberta Teachers' Association, which advises against involving students directly with AI tools.…
Descriptors: Preservice Teacher Education, Plagiarism, Ethics, Artificial Intelligence
Tanaka, Tetsuo; Ueda, Mari – International Association for Development of the Information Society, 2023
In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records…
Descriptors: Scores, Prediction, Programming, Artificial Intelligence
Advancing Communicative Competence in the Digital Age: A Case for AI Tools in Japanese EFL Education
Alexis Busso; Becky Sanchez – Technology in Language Teaching & Learning, 2024
English language education in Japan has long been criticized for its traditional methods emphasizing grammar and reading at the expense of communicative competence. This article explores the potential of Artificial Intelligence in Education (AIEd) to address this issue. A review of literature explored critical challenges faced by Japanese EFL…
Descriptors: Foreign Countries, Communicative Competence (Languages), Artificial Intelligence, Technology Uses in Education
Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
Dizon, Gilbert; Tang, Daniel – JALT CALL Journal, 2020
The ubiquity of smartphones and the growing popularity of smart speakers have given rise to cloud-based, intelligent personal assistants (IPAs), such as Siri and Google Assistant. However, little is known about the use of IPAs for Autonomous Second Language Learning (ASLL). Thus, the aims of this study were twofold: to assess Japanese English as a…
Descriptors: Artificial Intelligence, Computer Uses in Education, Electronic Equipment, Second Language Learning
Dizon, Gilbert; Gayed, John M. – JALT CALL Journal, 2021
While the use of automated writing evaluation software has received much attention in CALL literature, as Frankenberg-Garcia (2019) notes, empirical research on predictive text and intelligent writing assistants is lacking. Thus, this study addressed this gap in the literature by examining the impact of Grammarly, an intelligent writing assistant…
Descriptors: Foreign Countries, College Students, Writing Evaluation, Computer Software
Obari, Hiroyuki; Lambacher, Steve; Kikuchi, Hisayo – Research-publishing.net, 2020
This study focuses on the use of emerging technologies such as Artificial Intelligence (AI) smart speakers and smartphone applications for improving the English language skills of L1 Japanese undergraduates. An empirical investigation was carried out with 82 Japanese students. Participants were required to study a variety of online English…
Descriptors: Artificial Intelligence, Computer Simulation, Audio Equipment, Handheld Devices
Gallacher, Andrew; Thompson, Andrew; Howarth, Mark – Research-publishing.net, 2018
Japanese university students (N=253) conversed with human and Artificially intelligent (AI) chatbot partners then recorded their perceptions of these interactions via open-ended written feedback. This data was qualitatively analyzed to gain a better understanding of the merits and demerits of using chatbots for English study from the students'…
Descriptors: Robotics, Student Attitudes, Second Language Learning, Second Language Instruction
Hayashi, Kotaro; Sato, Takeshi – Research-publishing.net, 2020
This study investigates the effectiveness of an Artificial Intelligence (AI) speaker as a device used for interactions in a foreign language (L2), and a tracking eye installed on the speaker to reduce L2 anxiety. L2 anxiety is an urgent issue since the anxiety derived from a fear of being judged, being negatively evaluated, or being rejected by…
Descriptors: Second Language Learning, Second Language Instruction, Eye Movements, Artificial Intelligence
Obari, Hiroyuko; Lambacher, Stephen – Research-publishing.net, 2019
A constructivist approach to language learning can motivate students by activating their brains to create new knowledge and reflect more consistently and deeply on their language learning experience. The present study focused on assessing the use of the Artificial Intelligence (AI) speakers Google Home Mini and Amazon Alexa as part of a Blended…
Descriptors: Undergraduate Students, Japanese, English (Second Language), Second Language Learning
Thompson, Andrew; Gallacher, Andrew; Howarth, Mark – Research-publishing.net, 2018
The aim of this research project was to examine the impact of chatbots as conversation partners. First and second year Japanese university students (n=120) from a private university in Southwest Japan were randomly assigned to either conduct a speaking task with an Artificial Intelligence (AI) chatbot or human partner. Preliminary analysis of the…
Descriptors: Second Language Learning, Second Language Instruction, Computer Mediated Communication, Undergraduate Students
Zheng, Dongping; Bischoff, Michael; Gilliland, Betsy – Educational Technology Research and Development, 2015
Drawing on ecological and dialogical perspectives on language and cognition, this exploratory case study examines how vocabulary learning occurs during a quest-play mediated in English between a Japanese undergraduate student and a native speaker of English. Understanding embodiment as coaction between the player-avatar and player-player relations…
Descriptors: Vocabulary Development, Computer Games, Context Effect, Undergraduate Students
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