Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 21 |
Descriptor
Source
| Language Learning & Technology | 21 |
Author
| Aleksandra Malicka | 1 |
| Alif Silpachai | 1 |
| Anne-Marie Sénécal | 1 |
| Björn Rudzewitz | 1 |
| Bronson Hui | 1 |
| Cardoso, Walcir | 1 |
| Chen, Weichao | 1 |
| Chen, Zhenzhen | 1 |
| Ching Sing Chai | 1 |
| Chukharev-Hudilainen, Evgeny | 1 |
| Chunping Zheng | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 21 |
| Reports - Research | 20 |
| Tests/Questionnaires | 7 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 13 |
| Postsecondary Education | 13 |
| Secondary Education | 6 |
| Junior High Schools | 3 |
| Middle Schools | 3 |
| Elementary Education | 2 |
| High Schools | 2 |
| Grade 7 | 1 |
| Grade 8 | 1 |
Audience
| Teachers | 1 |
Location
| China | 6 |
| South Korea | 2 |
| Canada (Montreal) | 1 |
| Germany | 1 |
| Spain | 1 |
| Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| International English… | 1 |
What Works Clearinghouse Rating
Anne-Marie Sénécal; Walcir Cardoso – Language Learning & Technology, 2024
A growing body of literature on the pedagogical effectiveness of clickers in a second language (L2) context has revealed that clickers can promote learning. However, the extent to which clickers play a role in L2 acquisition compared to other pedagogical approaches lacks consensus; in addition, most research has focused on adult learners and has…
Descriptors: English (Second Language), Vocabulary Development, Second Language Instruction, Grade 8
Taguchi, Naoko – Language Learning & Technology, 2023
Using the single-group pre-posttest design, this exploratory study examined whether L2 learners of English can learn a speech act by experiencing perlocutionary effects of the act as feedback (observing their interlocutor's reactions to their choice of speech act expressions). Sixty undergraduate English learners at a university in China played a…
Descriptors: Game Based Learning, Teaching Methods, Pragmatics, Second Language Learning
Naoko Taguchi – Language Learning & Technology, 2023
This exploratory study adopted immersive virtual reality (VR) technology to develop a task assessing college students' intercultural competence, specifically their ability to mediate an intercultural conflict. Participants were 22 students enrolled in the intercultural communication class in a U.S. university. They first completed a pre-conflict…
Descriptors: Computer Simulation, Evaluation, Intercultural Communication, Mediation Theory
Yucel Yilmaz; Gisela Granena; Laia Canals; Aleksandra Malicka – Language Learning & Technology, 2024
The present study examines the impact of the explicitness of corrective feedback and explicit associative memory on the acquisition of -ing/-ed participial adjectives through delayed video-based corrective feedback. Fifty-two L1 Spanish learners were randomly assigned to one of three groups (implicit, explicit, or no-feedback) and performed an…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Instruction
Mikyung Kim Wolf; Saerhim Oh – Language Learning & Technology, 2024
With the increased rigor of academic standards, high expectations of academic writing skills have been imposed on students in U.S. K-12 schools. For English learner (EL) students who cope with the dual challenges of learning rigorous subject matters and developing their English language proficiency simultaneously, extra support and effective…
Descriptors: Middle School Students, English Language Learners, Feedback (Response), Academic Language
Alif Silpachai; Reza Neiriz; MacKenzie Novotny; Ricardo Gutierrez-Osuna; John M. Levis; Evgeny Chukharev – Language Learning & Technology, 2024
It is unclear whether corrective feedback (CF) provided by L2 computer-assisted pronunciation training (CAPT) tools must be 100% accurate to promote an acceptable level of improvement in pronunciation. Using a web-based interface, 30 native speakers of Chinese completed a pretest, a computer-based training session to produce nine sound contrasts…
Descriptors: College Students, Foreign Students, English (Second Language), Second Language Instruction
Juhee Lee – Language Learning & Technology, 2025
This study investigates how intelligent personal assistants (IPAs, e.g., Google Assistant), AI language learning applications, and peer interactions shape the learning experiences of 201 seventh-grade Korean EFL students. The students participated in a 12-week intervention and were categorized into four groups: Google Assistant, AI app, peer…
Descriptors: English (Second Language), Adolescents, Second Language Learning, Artificial Intelligence
Elsayed Issa; Gus Hahn-Powell – Language Learning & Technology, 2025
This study investigates the effectiveness of a computer-assisted pronunciation training (CAPT) system on second language learners' acquisition of three grammatical features. It presents a CAPT system on top of a phoneme-based, fine-tuned speech recognition model, and is intended to deliver explicit, corrective feedback on the pronunciation of the…
Descriptors: Grammar, Computer Assisted Instruction, Arabic, Second Language Instruction
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
Feng, Hui-Hsien; Chukharev-Hudilainen, Evgeny – Language Learning & Technology, 2022
Automated writing evaluation (AWE) systems have been introduced to ESL/EFL classes in the hopes of reducing teachers' workloads and improving students' writing by providing instant holistic scores and corrective feedback (Jiang & Yu, 2020; Link et al., 2014; Ranalli & Yamashita, 2019; Warschauer & Ware, 2006). When it comes to…
Descriptors: Engineering Education, Graduate Students, Writing (Composition), English (Second Language)
Jining Han – Language Learning & Technology, 2024
The present study applied a multiple-case study design to investigate Chinese as a foreign language (CFL) students' responses to computer-mediated coded feedback and the factors that influence students' responses in an online multiple-draft Chinese writing context. Three intermediate-level students of Chinese completed four drafts for which they…
Descriptors: Computer Mediated Communication, Feedback (Response), Student Attitudes, Influences
Paul Richards – Language Learning & Technology, 2024
This study experimentally investigated the effectiveness of feedback on learner refusals in a computer-simulated academic advising session. Ninety participants were assigned to one of three conditions: implicit feedback, explicit feedback, and comparison group. Oral and written discourse completion tasks (DCTs) were administered in a pretest…
Descriptors: Feedback (Response), Computer Simulation, Academic Advising, Pretests Posttests
van Lieshout, Catharina; Cardoso, Walcir – Language Learning & Technology, 2022
This study examined the pedagogical use of Google Translate (GT) and its associated text-to-speech synthesis (TTS) and automatic speech recognition (ASR) as tools to assist in the learning of second/foreign language Dutch vocabulary and pronunciation in an autonomous, self-directed learning setting. Thirty participants used GT (its translation,…
Descriptors: Translation, Computational Linguistics, Independent Study, Vocabulary Skills
Godwin-Jones, Robert – Language Learning & Technology, 2022
In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing. Systems for writing assessment and assistance based on automated writing evaluation (AWE) have been available for some time. That is the case for machine translation as well. More recent are…
Descriptors: Writing Instruction, Artificial Intelligence, Feedback (Response), Writing Evaluation
Chunping Zheng; Xu Chen; Huayang Zhang; Ching Sing Chai – Language Learning & Technology, 2024
This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…
Descriptors: Peer Evaluation, Comparative Analysis, Feedback (Response), Self Evaluation (Individuals)
Previous Page | Next Page »
Pages: 1 | 2
Peer reviewed
Direct link
