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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
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
Fateen, Menna; Mine, Tsunenori – International Educational Data Mining Society, 2021
Studying for entrance examinations can be a distressing period for numerous students. Consequently, many students decide to attend cram schools to assist them in preparing for these exams. For such schools and for all educational institutes, it is necessary to obtain the best tools to provide the highest quality of learning and guidance.…
Descriptors: Grade Prediction, Academic Achievement, Observation, Middle School Students
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
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
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