Publication Date
In 2025 | 0 |
Since 2024 | 8 |
Since 2021 (last 5 years) | 13 |
Since 2016 (last 10 years) | 15 |
Since 2006 (last 20 years) | 21 |
Descriptor
Source
Author
Dizon, Gilbert | 2 |
Akiyo Hirai | 1 |
Alexis Busso | 1 |
Allwinkle, Sam | 1 |
Angelina Kovalyova | 1 |
Batur, Zekerya | 1 |
Becky Sanchez | 1 |
Bischoff, Michael | 1 |
Bourdeau, Jacqueline | 1 |
Chris North | 1 |
Christopher Saarna | 1 |
More ▼ |
Publication Type
Journal Articles | 23 |
Reports - Research | 14 |
Reports - Descriptive | 5 |
Reports - Evaluative | 3 |
Information Analyses | 1 |
Opinion Papers | 1 |
Tests/Questionnaires | 1 |
Education Level
Postsecondary Education | 11 |
Higher Education | 10 |
Adult Education | 2 |
Secondary Education | 1 |
Audience
Location
Japan | 23 |
Canada | 6 |
United States | 5 |
Australia | 4 |
United Kingdom | 4 |
China | 3 |
Netherlands | 3 |
Brazil | 2 |
Germany | 2 |
Spain | 2 |
Taiwan | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 1 |
What Works Clearinghouse Rating
Gwo-Jen Hwang; Kai-Yu Tang; Yun-Fang Tu – Interactive Learning Environments, 2024
This study provides research-based evidence to profile: (1) the roles of artificial intelligence in nursing; (2) its research applications; and (3) the research trends for future study. On the basis of the PRISMA statement, a series of AI and nursing education related keywords from the literature were used to retrieve high-quality journal articles…
Descriptors: Foreign Countries, Nursing Education, Nursing, Nursing Research
Chris North; David Hills; Pat Maher; Jelena Farkic; Vinicius Zeilmann; Sue Waite; Takako Takano; Heather Prince; Kirsti Pedersen Gurholt; Nkatha Muthomi; Daniel Njenga; Te Hurinui Karaka-Clarke; Susan Houge Mackenzie; Graham French – Journal of Adventure Education and Outdoor Learning, 2024
This is a composite article which brings together the international perspectives of the editorial board of the Journal of Adventure Education and Outdoor Learning to explore the impacts of artificial intelligence (AI) on the field of adventure education and outdoor learning (AE/OL). Building on the AE/OL profession's response to the impacts of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Adventure Education, Outdoor Education
Using Machine Learning to Predict UK and Japanese Secondary Students' Life Satisfaction in PISA 2018
Zexuan Pan; Maria Cutumisu – British Journal of Educational Psychology, 2024
Background: Life satisfaction is a key component of students' subjective well-being due to its impact on academic achievement and lifelong health. Although previous studies have investigated life satisfaction through different lenses, few of them employed machine learning (ML) approaches. Objective: Using ML algorithms, the current study predicts…
Descriptors: Artificial Intelligence, Secondary School Students, Life Satisfaction, Foreign Countries
Toyokawa, Yuko; Horikoshi, Izumi; Majumdar, Rwitajit; Ogata, Hiroaki – Smart Learning Environments, 2023
In inclusive education, students with different needs learn in the same context. With the advancement of artificial intelligence (AI) technologies, it is expected that they will contribute further to an inclusive learning environment that meets the individual needs of diverse learners. However, in Japan, we did not find any studies exploring…
Descriptors: Barriers, Affordances, Artificial Intelligence, Inclusion
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
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
Akiyo Hirai; Angelina Kovalyova – Language Learning & Technology, 2024
Speech-to-text applications have great potential for helping students with English language comprehension and pronunciation practice. This study explores the functionality of five speech-to-text (STT) applications (Google Docs voice typing tool, Apple Dictation, Windows 10 Dictation, Dictation.io [a website service], and "Transcribe" [an…
Descriptors: Assistive Technology, English Language Learners, English (Second Language), Articulation (Speech)
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
Ludusan, Bogdan; Mazuka, Reiko; Dupoux, Emmanuel – Cognitive Science, 2021
A prominent hypothesis holds that by speaking to infants in infant-directed speech (IDS) as opposed to adult-directed speech (ADS), parents help them learn phonetic categories. Specifically, two characteristics of IDS have been claimed to facilitate learning: "hyperarticulation," which makes the categories more "separable," and…
Descriptors: Infants, Child Language, Speech Communication, Phonetics
Özcan, Halil Ziya; Batur, Zekerya – International Journal of Education and Literacy Studies, 2021
Literacy is a term generally used for adults and young people. Basically, it is an acquisition that includes the process of reading, writing and understanding symbols in any language. While this concept, whose definition and scope has expanded over time, refers to people who can only say their names in the past, today it refers to individuals who…
Descriptors: Bibliometrics, Journal Articles, Difficulty Level, Reading Comprehension
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
Schneider, W. Joel; Kaufman, Alan S. – International Journal of School & Educational Psychology, 2016
As documented in this special issue, all over the world hard choices must be made in education, government, business, and medicine. Intelligence tests, used intelligently and with appropriate ethical safeguards, are one tool of many that help make hard choices work out well, or at least better than the next-best alternative (Kaufman, Raiford,…
Descriptors: Intelligence Quotient, Artificial Intelligence, Children, Adolescents
Previous Page | Next Page »
Pages: 1 | 2