Publication Date
In 2025 | 0 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Language Learning & Technology | 7 |
Author
Albakry, Mohammed | 1 |
April Ka Yeng Fung | 1 |
Chi Ho Yeung | 1 |
Darvin, Ron | 1 |
David James Woo | 1 |
François, Jennifer | 1 |
Hengky Susanto | 1 |
Jonathan Serfaty | 1 |
Kai Guo | 1 |
Kim, Heyoung | 1 |
Lee, Jang Ho | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 6 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
Secondary Education | 7 |
High Schools | 2 |
Elementary Education | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Audience
Location
South Korea | 2 |
Cambodia | 1 |
Canada | 1 |
Hong Kong | 1 |
Tennessee | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jonathan Serfaty; Raquel Serrano – Language Learning & Technology, 2024
Digital flashcard apps allow students to learn and practice foreign language vocabulary independently and efficiently, leaving more classroom time for communicative activities. However, words learned this way may be forgotten. Previous lab studies have shown that vocabulary retrieval practice can be optimized for long-term memory by employing…
Descriptors: Computer Assisted Testing, Computer Software, Vocabulary Development, Secondary School Students
Rakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
David James Woo; Hengky Susanto; Chi Ho Yeung; Kai Guo; April Ka Yeng Fung – Language Learning & Technology, 2024
English as a foreign language (EFL) students' use of artificial intelligence (AI) tools that generate human-like text may enhance students' written work. However, the extent to which students use AI-generated text to complete a written composition and how AI-generated text influences the overall writing quality remain uncertain. 23 Hong Kong…
Descriptors: Artificial Intelligence, Writing Instruction, English Language Learners, English (Second Language)
Kim, Heyoung; Yang, Hyejin; Shin, Dongkwang; Lee, Jang Ho – Language Learning & Technology, 2022
The purpose of this article is to set out the design principles and architecture of a second language (L2) learning voice chatbot. Building on L2 acquisition theories and chatbot research, in this article, we report on a South Korean government-funded longitudinal project in which we designed and developed a chatbot called "Ellie".…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Software
Rui Li – Language Learning & Technology, 2024
Despite the growing body of research regarding the effectiveness of MALL (mobile-assisted language learning) technologies on foreign language (FL) learners' speaking skill development, a comprehensively quantitative meta-analysis regarding the effect sizes of these studies is still lacking. To solve the problem, this study reported results based…
Descriptors: Oral Language, Skill Development, Speech Communication, Second Language Instruction
Darvin, Ron – Language Learning & Technology, 2023
Based on a study of the digital literacy practices of immigrant Filipino students in Vancouver, this paper focuses on how learners with unequal access to resources engage with different tools to locate information and find opportunities for language learning online. Data was collected through interviews and observations of participants as they…
Descriptors: Semiotics, Second Language Learning, Second Language Instruction, Immigrants
François, Jennifer; Albakry, Mohammed – Language Learning & Technology, 2021
While fluency in second language speaking can be a challenging construct to measure, it is important to identify the discourse features that contribute to it. This small-scale classroom research project examined the effect of formulaic language sequences on fluency as measured by computer-based speaking tasks of young English learners. Thirty-six…
Descriptors: Phrase Structure, Computer Software, Predictor Variables, Computer Assisted Testing