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Yasin Temel; Bayram Coskun – International Technology and Education Journal, 2024
Today, countries are taking important steps towards providing more effective services to citizens by determining strategies to quickly adapt to artificial intelligence-based digital transformation processes, especially education, health, security, justice and local services. National strategies for artificial intelligence studies are determined in…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
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
Woongbin Park; Hyuksoo Kwon – International Journal of Technology and Design Education, 2024
The purpose of this study is multifold: First, to develop an educational program using artificial intelligence (AI) in middle school free semester system of South Korea. Second, to verify the program's effectiveness, the study clarified the definition of AI and AI education and considered their meaning in technology education. This study used…
Descriptors: Foreign Countries, Middle Schools, Artificial Intelligence, Program Effectiveness
Yoonjae Noh; YoonIl Yoon; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
The default risk, one of the main risk factors for bonds, should be measured and reflected in the bond yield. Particularly, in the case of financial companies that treat bonds as a major product, failure to properly identify and filter customers' workout status adversely affects returns. This study proposes a two-stage classification algorithm for…
Descriptors: Prediction, Classification, Accuracy, Risk
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
Hyemin Yoon; HyunJin Kim; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
We have maintained the customer grade system that is being implemented to customers with excellent performance through customer segmentation for years. Currently, financial institutions that operate the customer grade system provide similar services based on the score calculation criteria, but the score calculation criteria vary from the financial…
Descriptors: Classification, Artificial Intelligence, Prediction, Decision Making
Yerin Kwak; Zachary A. Pardos – British Journal of Educational Technology, 2024
The adoption of large language models (LLMs) in education holds much promise. However, like many technological innovations before them, adoption and access can often be inequitable from the outset, creating more divides than they bridge. In this paper, we explore the magnitude of the country and language divide in the leading open-source and…
Descriptors: Foreign Countries, Multilingualism, Instructional Materials, Access to Education
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
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
Bang, Won Seok; Hoan, Wee Kuk; Park, Ju Young; Reddy, Nagireddy gari Subba – SAGE Open, 2022
This present work uses artificial neural networks (ANNs) to examine the association between various dimensions of coaching leadership and turnover Intention. The coaching leadership data were collected from 194 employees across multiple schools in Korea. The ANN models are capable of higher predictive accuracy than conventional linear regression…
Descriptors: Coaching (Performance), Leadership, Faculty Mobility, Foreign Countries
Zexuan Pan; Maria Cutumisu – AERA Online Paper Repository, 2023
Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Prediction
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
Soonri Choi; Soomin Kang; Kyungmin Lee; Hongjoo Ju; Jihoon Song – Contemporary Educational Technology, 2024
This study proposes that the gestures of an agent tutor in a multimedia learning environment can generate positive and negative emotions in learners and influence their cognitive processes. To achieve this, we developed and integrated positive and negative agent tutor gestures in a multimedia learning environment directed by cognitive gestures.…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Processes, Difficulty Level
Hyo-Jeong So; Hyeji Jang; Minseon Kim; Jieun Choi – Asia Pacific Journal of Education, 2024
This study aims to investigate the public's perceptions regarding the integration of Generative AI (GenAI) in education by analysing comments on YouTube news clips. The study collected public comments from YouTube news clips disseminated by three prominent broadcasters in South Korea between December 2022 and June 2023. Two dimensions of public…
Descriptors: Public Opinion, Artificial Intelligence, Technology Uses in Education, Video Technology
Hamza Polat; Arif Cem Topuz; Mine Yildiz; Elif Taslibeyaz; Engin Kursun – International Journal of Technology in Education, 2024
ChatGPT has become a prominent tool for fostering personalized and interactive learning with the advancements in AI technology. This study analyzes 212 academic research articles indexed in the Scopus database as of July 2023. It maps the trajectory of educational studies on ChatGPT, identifying primary themes, influential authors, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Bibliometrics