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Jiahui Wu; Jianwei Li; Zigang Ge; Mingrui Xu; Li Lin; Ru Zhang – Journal of Educational Computing Research, 2025
Automated written corrective feedback (AWCF) tools play a crucial role in supporting English writing instruction. However, issues such as insufficient accuracy and hallucination have undermined users' trust in these systems. To address these challenges, this study investigates the potential of Generative Artificial Intelligence (GAI) enhanced by…
Descriptors: Error Correction, Feedback (Response), Artificial Intelligence, Computer Software
Yandong Zhang; Yongliang Zhang – Education and Information Technologies, 2025
In the digital age, technology-assisted language learning (TALL) has emerged as a pivotal approach to enhancing English linguistic skills among college students. This study explores the effectiveness of TALL innovations in enhancing English linguistic skills among college students. Employing a mixed-methods approach, data were collected through…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Second Language Instruction, English (Second Language)
Yuko Hayashi; Yusuke Kondo; Yutaka Ishii – Innovation in Language Learning and Teaching, 2024
Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Japanese
Kai Guo; Yuanke Li; Yongyan Li; Samuel Kai Wah Chu – Education and Information Technologies, 2024
Despite growing interest in exploring the application of chatbots in language education, studies on the process of chatbot-assisted language learning are scant. This qualitative study uses activity theory to understand how English as a foreign language students engage with a chatbot, Argumate, when composing argumentative essays. Five Chinese…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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
Alicia Ndegwa; Mar Gutiérrez-Colón; Marni Manegre – Interactive Learning Environments, 2024
The on-going implementation of the new curriculum of the new education system in Kenya includes the administration of technology in the classroom. In this study, this was achieved through the use of a gamified app in a local private school in Kenya, a gamified Swahili app. As Swahili is the language that is Kenya's national and one of two official…
Descriptors: Foreign Countries, Reading Comprehension, African Languages, Comparative Analysis
Ting Xiao; Sisi Yi; Shamim Akhter – International Review of Research in Open and Distributed Learning, 2024
The consideration of students' emotional and psychological health is crucial to facilitate effective teaching and grading practices. This study set out to shed light on the interplay between self-esteem (S-E), cognitive-emotion regulation (CER), academic enjoyment (AE), and language success (LS) in artificial intelligence (AI)-supported online…
Descriptors: Artificial Intelligence, Computer Software, Self Esteem, Second Language Learning
Boxuan Ma; Sora Fukui; Yuji Ando; Shinichi Konomi – Journal of Educational Data Mining, 2024
Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…
Descriptors: Language Proficiency, Brain Hemisphere Functions, Language Processing, Task Analysis
Desi Wijayanti Ma'Rufah; Maulana Mualim; Fathin Anjani Hilman – JALT CALL Journal, 2024
Peer Assessment (PA) has recently been gaining increasing popularity in higher education due to its advantages in engaging students, and its use in English as a Foreign Language (EFL) writing classes is very common in Indonesia. The implementation of PA became more necessary when the government regulated emergency remote teaching in response to…
Descriptors: Peer Evaluation, Writing Evaluation, English (Second Language), Second Language Learning
Chung-You Tsai; Yi-Ti Lin; Iain Kelsall Brown – Education and Information Technologies, 2024
To determine the impacts of using ChatGPT to assist English as a foreign language (EFL) English college majors in revising essays and the possibility of leading to higher scores and potentially causing unfairness. A prospective, double-blinded, paired-comparison study was conducted in Feb. 2023. A total of 44 students provided 44 original essays…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, English (Second Language)
Alissa Patricia Wolters; Young-suk Grace Kim – Reading and Writing: An Interdisciplinary Journal, 2024
We investigated spelling errors in English and Spanish essays by Spanish-English dual language learners in Grades 1, 2, and 3 (N = 278; 51% female) enrolled in either English immersion or English-Spanish dual immersion programs. We examined what types of spelling errors students made, whether they made spelling errors that could be due to…
Descriptors: Spelling, Spanish, English (Second Language), Second Language Learning
Rustam Shadiev; Jiatian Yu – Computer Assisted Language Learning, 2024
We reviewed articles on computer-assisted language learning, focusing on intercultural education studies published in the last five years. We investigated the following aspects: (1) the theoretical foundation that the studies were based on, e.g., theory, hypothesis, model, or framework, (2) the technologies used by the participants, (3) the…
Descriptors: Multicultural Education, Computer Assisted Instruction, Teaching Methods, Second Language Learning
Xinghua Wang; Hui Pang; Matthew P. Wallace; Qiyun Wang; Wenli Chen – Computer Assisted Language Learning, 2024
This study investigated the application of an artificial intelligence (AI) coach for second language (L2) learning in a primary school involving 327 participants. In line with Community of Inquiry, learners were expected to perceive social, cognitive, and teaching presences when interacting with the AI coach, which was considered a humanized…
Descriptors: Artificial Intelligence, Second Language Instruction, Second Language Learning, Student Attitudes
Satar, Müge – Research-publishing.net, 2021
This piece explores technologies for freer communication "with" machines, i.e. bots (chatbots or conversational agents), rather than the concept of speaking "to" machines, such as Intelligent Assistants (IA) like "Alexa." Bots are computer programmes which simulate natural intelligent communication using text or…
Descriptors: Teaching Methods, Learning Processes, Second Language Learning, Second Language Instruction

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