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Yang Gao; Qikai Wang; Xiaochen Wang – Asia Pacific Journal of Education, 2024
Nowadays, the prevalence of ChatGPT and other Large Language Models (LLMs) has posed significant challenges into the education field, particularly in English education. In response, this study aimed to investigate the beliefs of 95 EFL university teachers from Chinese universities regarding the integration of LLMs in language education, as well as…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
Yanxia Yang – Education and Information Technologies, 2024
The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…
Descriptors: Translation, Computational Linguistics, Learning Processes, English (Second Language)
Osama Koraishi – Language Teaching Research Quarterly, 2024
This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Artificial Intelligence
Afsheen Rezai; Ali Soyoof; Barry Lee Reynolds – European Journal of Education, 2024
Artificial Intelligence (AI)-driven chatbots, such as ChatGPT, have significantly impacted education, especially for English as a Foreign Language (EFL) learners. However, there is paucity of empirical evidence concerning the role of chatbots in psycho-emotional constructs like well-being and emotion regulation. It is important to address this…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, English (Second Language)
David Imamyartha; Utami Widiati; M. Zaini Miftah – MEXTESOL Journal, 2024
Despite the recent growth of mobile instant messenger (MIM), research into the correlation between English learners' learning gains, learning engagement, and how this engagement helps develop authentic relationships remains underexplored. This mixed-method study involved 222 college English learners to investigate their engagement in team-based…
Descriptors: Discourse Analysis, Computer Software, Computer Mediated Communication, Synchronous Communication
Moss, Grant D.; Gambrell, James A. – Foreign Language Annals, 2023
The overarching objective of the World Language Professional Life Survey (WLPLS) was to determine the K-20 World Language (WL) profession's familiarity with both the "World Readiness Standards for Learning Languages" (5 Cs) and with the Can-Do Statements (Can-Dos). The survey strove to identify how both sets of principles might…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Computer Software
Yi Zheng; Yabing Wang; Kelly Shu-Xia Liu; Michael Yi-Chao Jiang – Education and Information Technologies, 2024
Grounded in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this study investigates the interplay between key UTAUT2 constructs and motivation modeled by Self-Determination Theory (SDT) in shaping English as a Foreign Language (EFL) learners' behavioral intention and actual use of generative AI tools. Accordingly, three research…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Motivation
Herzig, Melissa; Allen, Thomas E. – Journal of Deaf Studies and Deaf Education, 2023
Design features of American Sign Language (ASL)-English bilingual storybook apps on the tablet computers, based on learning research, are intended to facilitate independent and interactive learning of English print literacy and of ASL skill among young learners. In 2013, the Science of Learning Center on Visual Language and Visual Learning…
Descriptors: Deafness, American Sign Language, Vocabulary Skills, Computer Software
Ekaterina Tour; Marianne Turner; Anne Keary; Khanh-Linh Tran-Dang – Language and Education, 2024
It has been widely recognised that plurilingual pedagogy offers many benefits both for language learning and learning in general. However, in contexts where the linguistic profile of students is diverse, it can still be challenging for teachers to view working with the language resources of their students as feasible. In this article, we discuss…
Descriptors: Multilingualism, Multiple Literacies, Correlation, Teaching Methods
Hsu, Hui-Tzu; Lin, Chih-Cheng – Educational Technology & Society, 2022
Mobile technology is regarded as a helpful tool facilitating language learning. However, the success of mobile technology largely depends on learners' acceptance. This study explored the factors that may affect students' intention formation regarding mobile-assisted language learning (MALL) in the context of higher education through the lens of…
Descriptors: Computer Assisted Instruction, Telecommunications, Handheld Devices, Teaching Styles
Vasfiye Geçkin; Ebru Kiziltas; Çagatay Çinar – Journal of Educational Technology and Online Learning, 2023
The quality of writing in a second language (L2) is one of the indicators of the level of proficiency for many college students to be eligible for departmental studies. Although certain software programs, such as Intelligent Essay Assessor or IntelliMetric, have been introduced to evaluate second-language writing quality, an overall assessment of…
Descriptors: Writing Evaluation, Second Language Learning, Second Language Instruction, Language Proficiency
Senowarsito; Sukma Nur Ardini – Indonesian Journal of English Language Teaching and Applied Linguistics, 2023
The study aimed at investigating the effects of autonomous pronunciation learning using AI as well as the experiences of autonomous pronunciation learning using AI by higher level students. Explanatory sequential mixed-method research using both quantitative and qualitative methods was employed within thirty-two students from Universitas PGRI…
Descriptors: Artificial Intelligence, Suprasegmentals, Pronunciation Instruction, Language Proficiency
Casper J. D. Jensen; Teresa Cadierno – Language Learning Journal, 2024
The number of learners seeking to acquire an L2 by means of apps is ever-increasing. This study examined the effectiveness of using the app "Mondly" for the acquisition of L2 English vocabulary while accounting for differences in the acquisition of receptive and productive aspects of word knowledge. Twelve Danish young learners (aged…
Descriptors: Receptive Language, Expressive Language, Correlation, Computer Assisted Instruction
Mohamad Ahmad Saleem Khasawneh; Sayed M. Ismail; Negash Hussen – Language Testing in Asia, 2024
Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental…
Descriptors: Artificial Intelligence, Computer Software, Personal Autonomy, Mental Health
Mahmoud Abdi Tabari; Minyoung Cho – Language Teaching Research, 2025
To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Advanced Students