Publication Date
| In 2026 | 0 |
| Since 2025 | 5 |
| Since 2022 (last 5 years) | 24 |
| Since 2017 (last 10 years) | 43 |
| Since 2007 (last 20 years) | 64 |
Descriptor
Source
| Language Learning & Technology | 64 |
Author
| Jian Li | 2 |
| Lan, Yu-Ju | 2 |
| Ahmed Masrai | 1 |
| Alexander F. Tang | 1 |
| Alfonso Lago Ferreiro | 1 |
| April Ka Yeng Fung | 1 |
| Arispe, Kelly | 1 |
| Bagga-Gupta, Sangeeta | 1 |
| Bakla, Arif | 1 |
| Benson, Phil | 1 |
| Burston, Jack | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 64 |
| Reports - Research | 64 |
| Tests/Questionnaires | 64 |
Education Level
Audience
| Researchers | 1 |
Location
| China | 7 |
| Taiwan | 6 |
| Spain | 5 |
| South Korea | 4 |
| California | 3 |
| Hong Kong | 3 |
| Canada | 2 |
| Germany | 2 |
| Taiwan (Taipei) | 2 |
| Argentina | 1 |
| Brazil | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Test of English for… | 2 |
| California Achievement Tests | 1 |
| International English… | 1 |
What Works Clearinghouse Rating
Chen, Hsin-I; Sevilla-Pavón, Ana – Language Learning & Technology, 2023
This study examines how English-as-lingua-franca (ELF) learners employ semiotic resources, including head movements, gestures, facial expression, body posture, and spatial juxtaposition, to negotiate for meaning in an immersive virtual reality (VR) environment. Ten ELF learners participated in a TaiwanSpain VR virtual exchange project and…
Descriptors: Computer Mediated Communication, Computer Simulation, English (Second Language), Second Language Learning
Yaru Meng; Hua Fu; Chuang Wang – Language Learning & Technology, 2024
There is growing literature on computerized dynamic assessment (C-DA) wherein individual items are accompanied by mediating prompts, but its effectiveness at fine-grained levels across time has not been explored sufficiently. This study constructed a computerized listening dynamic assessment (CLDA) system, where mediation was informed by an…
Descriptors: Computer Assisted Testing, Test Validity, Audio Equipment, Audiometric Tests
Sumei Wu; Meei-Ling Liaw – Language Learning & Technology, 2025
In telecollaboration research, scholars have broadened their focus from the purely linguistic details of online intercultural encounters to include its multimodal dimensions. Yet, no study to date has explored spatial repertoires, namely the totality of semiotic resources (e.g., speech, image, objects) embedded in a particular environment and used…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Language Teachers
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)
Ji-young Shin; Yujeong Choi – Language Learning & Technology, 2025
The use of AI-powered chatbots has recently been extensively examined for second language (L2) learning. While their positive effects have been widely reported regarding L2 English learning, studies involving less commonly taught languages (LCTLs) are scant. The current study incorporated an AI chatbot called Iruda in L2 Korean teaching, to…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Korean
Yuchen Peng; Yuhong Lei – Language Learning & Technology, 2025
Multimodal synchronous-computer-mediated communication (SCMC) provides many possibilities for improving language learners' pragmatic competence (Maa & Taguchi, 2022). However, the research exploring how SCMC mode affects the pragmatic learning process and its outcome is limited. This study investigates the effects of SCMC modes on pragmatic…
Descriptors: Computer Mediated Communication, Synchronous Communication, Learning Processes, English (Second Language)
Ines A. Martin – Language Learning & Technology, 2023
This study investigated how learners' motivation to improve their pronunciation (i.e., pronunciation-focused motivation) influences their L2 pronunciation achievements. This relationship was explored separately in an online (n = 28) and a face-to-face (F2F) (n = 49) learning environment with beginner learners of German. In the online learning…
Descriptors: Pronunciation, Student Motivation, Second Language Learning, Online Courses
María de los Ángeles Gómez González; Alfonso Lago Ferreiro – Language Learning & Technology, 2024
Previous research has established that phonetics has been marginalized within language teaching, proving to be particularly challenging for learners in EFL contexts. This paper presents EPSSML (https://www.usc.gal/multimlab/), an e-learning platform designed within Mayer's (2008, 2009) Cognitive Theory of Multimedia Learning to instruct English…
Descriptors: Computer Assisted Instruction, Pronunciation, Electronic Learning, Phonetics
Siqi Wang; Jian Li; Qian Liang – Language Learning & Technology, 2024
Drawing on skill acquisition theory (DeKeyser, 2017) and the Information Feedforward and Feedback Loop model (de Bot, 1980), this study aimed to explore the effects of digital zoom technology as a visual reinforcement tool (VRT) in foreign language (FL) pronunciation instruction on learners' segmental production, and learners' attitudes toward and…
Descriptors: Visual Aids, Pronunciation Instruction, Second Language Instruction, Spanish
Dan Song; Alexander F. Tang – Language Learning & Technology, 2025
While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…
Descriptors: Artificial Intelligence, Second Language Learning, Standardized Tests, Writing Tests
Guo, Siao-Cing; Lan, Yu-Ju – Language Learning & Technology, 2023
This study aims to investigate the influence of story creation on young EFL learners' reading performance. Action research was adopted to examine the effects of two different story reading projects in a library setting in Taiwan. Each project comprised a group of 19 young EFL learner from Grades 4 to 6 (aged 10-12). The first group's activities…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Simulation
Daly, Nigel P. – Language Learning & Technology, 2022
The road to second language competence is a long and arduous one, and much of its effort involves learning to recognize and use vocabulary. Fortunately, anytime-anywhere learning with smart phones and smart apps offer a means to lessen the burden and make vocabulary learning more efficient. Accordingly, this study investigated 134 students across…
Descriptors: Personal Autonomy, Independent Study, Computer Assisted Instruction, Language Tests
Emad A. Alghamdi; Paul Gruba; Ahmed Masrai; Eduardo Velloso – Language Learning & Technology, 2023
Although measures of lexical complexity are well established for printed texts, there is currently no equivalent work for videos. This study, therefore, aims to investigate whether existing lexical complexity measures can be extended to predict second language (L2) learners' judgment of video difficulty. Using a corpus of 320 instructional videos,…
Descriptors: Difficulty Level, Interactive Video, Computer Assisted Instruction, Word Frequency
Shu Zhou; Gerhardus D. Du Preez – Language Learning & Technology, 2025
This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…
Descriptors: Grammar, Writing Instruction, Artificial Intelligence, Computer Software
Shi, Zhan; Liu, Fengkai; Lai, Chun; Jin, Tan – Language Learning & Technology, 2022
Automated Writing Evaluation (AWE) systems have been found to enhance the accuracy, readability, and cohesion of writing responses (Stevenson & Phakiti, 2019). Previous research indicates that individual learners may have difficulty utilizing content-based AWE feedback and collaborative processing of feedback might help to cope with this…
Descriptors: Writing Instruction, Writing Evaluation, Feedback (Response), Accuracy

Peer reviewed
Direct link
