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Hyunkyung Lee; Lynette Mott Bryan – Professional Development in Education, 2025
Artificial Intelligence (AI) is increasingly embedded in daily life, transforming how we process information, analyse data, and communicate. As AI enables new forms of interaction, educators need to assess its implications for teaching and learning. This study examines how AI tools, specifically ChatGPT, were integrated into preservice teacher…
Descriptors: Barriers, Technology Integration, Artificial Intelligence, Computer Software
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
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
Dongkwang Shin; Jang Ho Lee – Education and Information Technologies, 2024
In recent years, various strategies have been employed to integrate ChatGPT into the field of second language (L2) teaching and learning. In line with such efforts, this study investigates the potential of ChatGPT as an automated writing evaluation (AWE) tool for L2 assessment, given the lack of systematic and quantitative investigation into human…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
Myunghwan Hwang; Eunmi Lee; Hee-Kyung Lee – English Teaching, 2025
This research, grounded in the extended technology acceptance model, aimed to explore the relationships among factors influencing Korean EFL learners' acceptance of ChatGPT for English learning in a voluntary usage context. To this end, a questionnaire was distributed to college students who had used ChatGPT for language learning, utilizing a…
Descriptors: English (Second Language), Second Language Learning, Technology Uses in Education, Computer Software
Hyun-Bin Hwang – Language Learning, 2025
This study explored the effects of practice schedule on the processing of new second language (L2) vocabulary and resulting knowledge. Participants were 107 low-achieving adolescents attending a vocational high school in Korea. They were randomly assigned to one of three practice groups and completed a L2 English-L1 Korean paired-associates…
Descriptors: Low Achievement, Adolescents, Second Language Learning, Vocabulary Development
Wang Zhou; YeaJin Kim – Education and Information Technologies, 2024
The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…
Descriptors: Music Education, Computer Software, Undergraduate Students, Foreign Countries
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
Solbee Kim – ProQuest LLC, 2024
Since the release of advanced Large Language Models (LLMs) like ChatGPT in the winter of 2022, educators have been challenged to integrate AI in educational contexts without adequate preparation. This multimethod study aims to provide valuable insights into how students and teachers can make effective, responsible use of AI tools for writing.…
Descriptors: Artificial Intelligence, Writing (Composition), Technology Uses in Education, Computer Software
Jamie Costley; Han Zhang; Matthew Courtney; Galina Shulgina; Matthew Baldwin; Mik Fanguy – Computer Assisted Language Learning, 2025
While the use of collaborative peer editing is widespread in some online learning contexts, little is known about how constituent editing behaviours impact student writing quality when using shared online documents as the mediating tool. Therefore, the present study (n = 176) examines the effects of English language learners' peer editing…
Descriptors: Editing, Peer Evaluation, English (Second Language), Second Language Learning
Yoo, Jiseung; Kim, Min Kyeong – Contemporary Educational Technology, 2023
This study focuses on how teachers' pedagogical content knowledge (PCK) of mathematics may differ depending on teacher interactions in an online teacher community of practice (CoP). The study utilizes data from 26,857 posts collected from the South Korean self-generated online teacher CoP, 'Indischool'. This data was then analyzed using natural…
Descriptors: Natural Language Processing, Elementary School Teachers, Pedagogical Content Knowledge, Mathematics Instruction
Nasereddin, Mahdi; Glantz, Edward J.; Grimes, Galen A.; Peca,Joanne; Gordon, Michelle; Bartolacci, Mike – Journal of Cybersecurity Education, Research and Practice, 2022
Digital contact tracing tools were developed to decrease the spread of COVID-19 by supplementing traditional manual methods. Although these tools have great potential, they were developed rather quickly resulting in tools with varying levels of success. The main issues with these tools are over privacy and who might have access to the information…
Descriptors: Privacy, Information Technology, COVID-19, Pandemics
Büyükkidik, Serap – International Journal of Contemporary Educational Research, 2022
The Teaching and Learning International Survey (TALIS) and the Programme for International Student Assessment (PISA) are large-scale measurements about teaching and learning. There is a link between TALIS indicators and PISA results. We investigated which countries are effective according to TALIS indicators as inputs and PISA 2015 mathematics,…
Descriptors: Administrator Surveys, Teacher Surveys, International Assessment, Achievement Tests
Dillon, Thomas; Wells, Donald – English Teaching, 2023
This study examined effects of pronunciation training using automatic speech recognition technology on common pronunciation errors of Korean English learners. Participants were divided into two groups. One group was given instruction and training about the use of automatic speech recognition for pronunciation practice. The other group was not…
Descriptors: Pronunciation, English (Second Language), Second Language Instruction, English Language Learners
Karjanto, Natanael – Education Sciences, 2021
This article covers how a computer algebra system (CAS) "wxMaxima" can be explored for teaching single-variable and multivariable calculus to Korean digital natives. We present several examples where "wxMaxima" can handle calculus problems easily, not straightforwardly but still successfully with some human intervention, and…
Descriptors: Calculus, Mathematics Instruction, Teaching Methods, Intervention