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Minseong Kim; Jihye Kim; Tami L. Knotts; Nancy D. Albers – Education and Information Technologies, 2025
Integrating generative artificial intelligence (AI) tools like ChatGPT into education has reshaped academic practices, offering students innovative ways to engage with learning tasks. This study examines the cognitive, emotional, and behavioral factors influencing undergraduate students' engagement with ChatGPT, guided by the technology acceptance…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Factor Analysis
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Chih-Hung Wu; Ting-Sheng Weng; Chih-Hsing Liu – Educational Technology & Society, 2025
With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Motivation
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Jerry Huang; Atsushi Mizumoto – Education and Information Technologies, 2025
This study aimed to examine the effect of incorporating the generative pre-trained AI chatbot, ChatGPT, into an instructor-led writing class on the motivation of Japanese university students. This study examines changes in students' Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience using Dörnyei's L2 Motivational Self System (L2MSS)…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Technology Uses in Education
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Nathalie Barz; Manuela Benick; Laura Dörrenbächer-Ulrich; Franziska Perels – Discover Education, 2024
The present study examines university students' acceptance of e-learning according to the Technology Acceptance Model (TAM). We also investigate the influence of external factors, including self-efficacy with digital media, self-regulated learning, prior experience, and affinity for technology, to extend the model with valid individual factors.…
Descriptors: Undergraduate Students, Electronic Learning, Self Management, Foreign Countries
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Amir Reza Rahimi; Zahra Mosalli – Smart Learning Environments, 2025
Researchers have significantly explored language learners' attitudes toward ChatGPT through the lens of technology acceptance models, particularly with its development and integration into computer-assisted language learning (CALL). However, further research in this area is necessary to apply a theoretical framework with a pedagogical-oriented…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Technology Uses in Education
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Chen, Yi-Mei – Education and Information Technologies, 2022
This article reports on a classroom-based investigation into English as a foreign language (EFL) learners' views on lessons which integrated m-learning tools for assessment (Kahoot!) and collaboration (Padlet). 289 Chinese university students' views on such lessons were collected through open-ended questions posted on Padlet. The questions were…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Student Attitudes
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Lixuan Sun; Adelina Asmawi; Hui Dong; Xiaotian Zhang – Education and Information Technologies, 2024
Amidst the challenges posed by the Covid-19 pandemic, this study investigates the impact of Problem-based Language Learning (PBLL) using DingTalk on enhancing Business English Writing skills among Chinese undergraduates. Employing a mixed-method approach, the research involved two phases. In the quantitative phase, a twelve-week quasi-experimental…
Descriptors: Undergraduate Students, Business English, English for Special Purposes, Second Language Learning
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Putinatr, Chompunoot; Kiattikomol, Paiboon – International Journal of Instruction, 2022
Technology provides occasions for language learners to engage in authentic communication with native speakers around the world. However, in order for such language learning to be successful, it must take into account learners' affective or emotional needs. Traditional approaches to language learning have neglected the affective domain. This study…
Descriptors: Native Speakers, Preservice Teachers, Teacher Education Programs, Language Teachers
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Nassr, Rasheed Mohammad; Aldossary, Alia Ahmed; Nasir, Haidawati – Malaysian Journal of Learning and Instruction, 2021
Purpose: This study explored students' perspective of using emotion-aware Virtual Learning Environment (VLE) in Malaysia's higher education institutions. The purpose is to investigate the relationships amongst dimensions of Technology Readiness Index (TRI), attitude, intention to use VLE, and lecturer interaction. The outcomes concerned the…
Descriptors: Intention, Adoption (Ideas), Virtual Classrooms, Electronic Learning
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Svitlana Mykytiuk; Olena Lysytska; Oleksandr Chastnyk; Serhii Mykytiuk – IAFOR Journal of Education, 2025
The study explored the educational potential of the application of student-generated digital visual content for learning English as a second language (ESL) by undergraduate students enrolled in the course Foreign Language which is actually Introduction to Legal English. This study used a mixed-methods approach. The researchers designed a…
Descriptors: Artificial Intelligence, Visual Aids, Teaching Methods, English (Second Language)
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Wang, Dan; Khambari, Mas Nida Md. – Malaysian Online Journal of Educational Technology, 2020
In recent years, the application of augmented reality (AR) technology has been explored in numerous disciplines. This research focused on English sentence learning and utilized the activity theory as the basis to structure a game-based AR learning model (GBARLM). The aim of the investigation was to describe the model and explore the following…
Descriptors: Game Based Learning, Computer Simulation, English Instruction, Sentences
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Fernandez, Simon Christopher; Mammen, Kuttickattu John – Journal of Technology Education, 2020
The popularity of mobile technologies has greatly influenced people of all ages, especially adolescents. The purpose of this research was to determine the views of students, lecturers, and managers as selected stakeholders to assess the effectiveness of tablet computers in learning at a South African university. Using a mixed-methods approach,…
Descriptors: Stakeholders, Handheld Devices, Computer Uses in Education, Student Attitudes
OECD Publishing, 2024
This volume of PISA examines the readiness of students to engage with learning strategies, to be motivated to learn and to be confident in their abilities and in their capacity to improve their skills and knowledge. Countries like Korea have reduced mathematics anxiety, Portugal excels in critical thinking, and more low-performing students in…
Descriptors: Learning Readiness, Learning Strategies, Disadvantaged, Low Achievement
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Deveci Demir, Merve; Tavil, Zekiye Müge – Journal of Language and Linguistic Studies, 2021
There is an assumption that technology-based materials are acquisition-rich input, and listening plays a significant role in daily communication as well as the education process. This study aims to examine the effect of technology-based materials on the student's listening ability in EFL classes and elicit students' and teachers' perceptions about…
Descriptors: Linguistic Input, Second Language Learning, Second Language Instruction, English (Second Language)
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Jung, Christina Dahee – International Journal of Instruction, 2021
The motivation of language learners is a crucial aspect of effective teaching in the language classroom. Allowing students to interactively experience technology-enhanced learning activities whereby they design, organize, and create collaborative projects such as video-recorded role plays, dialogues, and short films is one motivational approach.…
Descriptors: Cooperative Learning, Video Technology, Technology Integration, Student Projects
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