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Kumar, Bimal Aklesh; Goundar, Munil Shiva – Education and Information Technologies, 2023
Mobile language learning (MLL) is an emerging field of research, and many MLL applications have been developed over the years. In this paper, a systematic literature review (SLR) was conducted to establish a body of knowledge on the development of MLL applications. The SLR analyzed forty seven papers from seven different digital libraries…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
Yanping Geng; Reem Alshahrani; Hana Mohammed Mujlid – European Journal of Education, 2025
The Fuzzy Analytic Hierarchy Process (FAHP) was employed to evaluate and rank language-learning applications based on criteria such as engagement, interactivity, feedback, content quality and usability. A pairwise comparison matrix was constructed, fuzzy logic was applied to convert qualitative judgements into numerical values, and these values…
Descriptors: Second Language Learning, Social Media, Handheld Devices, Computer Software
Ali Alsaawi; Mohammad Almoaily; Fahad Almulhim; Nesreen Alahmadi; Hamza Alshenqeeti – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Artificial intelligence (AI) is one of the fastest growing technologies today. Its extraordinary scope and capabilities have led people of all ages and abilities to employ it in many of their activities. Language learning is a lifetime experience that could benefit from the use of AI and thus it is worth exploring people's awareness of this…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Aysel Sahin Kizil; Blanka Klimova; Marcel Pikhart; Antigoni Parmaxi – Journal of Computer Assisted Learning, 2025
Background: The rise of intelligent chatbots powered by artificial intelligence and machine learning has ignited interest in their potential for revolutionising second language (L2) acquisition and foreign language learning (FLL). While their potential seems vast, understanding their actual impact on learning outcomes requires comprehensive…
Descriptors: Educational Research, Artificial Intelligence, Computer Software, Synchronous Communication
Koole, Marguerite; Morin, Randy; Lewis, Kevin; Dreaver-Charles, Kristine; Deters, Ralph; Vassileva, Julita; Lewis, Frank B. W. – International Journal of Mobile and Blended Learning, 2023
This paper outlines the design, development, and preliminary usability study of a system comprising (1) a web-based Indigenous lesson-creation interface and (2) an accompanying mobile app for studying the lessons. The Nisotak project was developed in response to the need for the preservation of Indigenous languages and to support reconciliation…
Descriptors: Computer Software, Computer Assisted Instruction, American Indian Languages, Lesson Plans
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
Asma Almusharraf; Daniel Bailey – Computer Assisted Language Learning, 2025
Machine translation (MT) practice and activity development in education are possible when students with diverse backgrounds contribute to helping define how MT can best be used for language learning. This study employed a questionnaire based on an adapted version of the technology acceptance model (TAM) to gain perspective on the perceptions,…
Descriptors: Web Sites, Student Attitudes, Language Proficiency, Second Language Learning
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
Pérez-Núñez, Antonio – Hispania, 2023
ChatGPT employs a deep learning (DL) model constructed using artificial neural networks and designed to analyze input data and extract increasingly complex features (Hu and Buehler 2023). Its chatbot interface makes it easy to use, requiring just a prompt to generate a response from the model. It is capable of producing fluent text in multiple…
Descriptors: Spanish, Second Language Learning, Second Language Instruction, Artificial Intelligence
Azzeddine Boudouaia; Samia Mouas; Bochra Kouider – Journal of Educational Computing Research, 2024
The field of computer-assisted language learning has recently brought about a notable change in English as a Foreign Language (EFL) writing. Starting from October 2022, students across different academic fields have increasingly depended on ChatGPT-4 as a helpful resource for addressing particular challenges in EFL writing. This study aimed to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
Yizhuo Zhou; Xuande Wu; Kunyang Qu – Language Teaching Research Quarterly, 2024
Recent advancements in artificial intelligence, particularly OpenAI's ChatGPT, have transformed English language learning through Computer-Assisted Language Learning (CALL) tools. This study examined the adoption of ChatGPT among university-level English learners employing the Hedonic Motivation System Adoption Model (HMSAM). An online survey was…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Yiwen Li – Studies in Applied Linguistics & TESOL, 2024
In the realm of language acquisition, the integration of Artificial Intelligence (AI) presents a promising frontier. However, gaps exist in understanding the practical application of AI-driven tools, particularly in second language learning contexts. This study delves into the usability of ChatGPT, an advanced AI language model, within the domain…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Learning Processes
Neumann, Michelle M.; Wang, Yuping; Qi, Grace Yue; Neumann, David L. – Journal of Interactive Learning Research, 2019
Touch screen tablets such as iPads are becoming increasingly popular as educational tools to support children's first language learning in pre-schools. Apps can also be used to support early learning of a second language in English-speaking countries. However, little work has been done to evaluate these apps. The present research developed…
Descriptors: Mandarin Chinese, Cultural Awareness, Computer Software, Second Language Learning
Nurul Aini; Iwan Kurniarahman; Utami Widiati; Bambang Yudi Cahyono; Yazid Basthomi – Issues in Educational Research, 2024
Our research investigated the integration of artificial intelligence in education (AIEd), focusing on Indonesian university students' perspectives. A quantitative survey design was based on the Technology Acceptance Model (TAM), a framework focused on perceived usefulness, modified by adding items related to affective aspects: interest, needs,…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Artificial Intelligence

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