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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
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
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
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)
Martin, Ines A. – Language Learning & Technology, 2020
The goal of this study was to explore how distance language learners' pronunciation skills develop with and without targeted pronunciation training during their first semester of university language instruction. To this end, a new computer-assisted method of pronunciation instruction was designed, and its effectiveness, as well as learners'…
Descriptors: Pronunciation, Distance Education, Second Language Instruction, Teaching Methods
Bakla, Arif – Language Learning & Technology, 2020
As digital technologies have become ubiquitous thanks to the Internet, new modes of feedback in L2 writing have emerged, yet what remains unclear is how feedback given through alternative modes helps improve writing quality and how new feedback tools fit in the overall context of writing instruction. Therefore, the purpose of this embedded…
Descriptors: Feedback (Response), English (Second Language), Computer Assisted Instruction, Writing Instruction
Carhill-Poza, Avery; Chen, Jie – Language Learning & Technology, 2020
Despite their demographic importance in U.S. classrooms, little is known about how the strengths and needs of English learners are engaged through technology, particularly as it is embodied by one-to-one devices such as iPads and Chromebooks. An exploratory study of English learners in technology-enhanced classrooms was undertaken at an urban…
Descriptors: Adolescents, English Language Learners, High School Students, Language Acquisition
Xu, Xinhao; Ke, Kengfeng – Language Learning & Technology, 2020
This experimental study examined the design and effectiveness of embodied interactions for learning. The researchers designed a digital learning environment integrating body joint mapping sensors to teach novice learners Chinese characters, and examined whether the embodied interaction would lead to greater knowledge acquisition in language…
Descriptors: Semantics, Pretests Posttests, Comparative Analysis, Human Posture
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
Chen, Zhenzhen; Chen, Weichao; Jia, Jiyou; Le, Huixiao – Language Learning & Technology, 2022
Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…
Descriptors: Writing Instruction, Writing Processes, Teaching Methods, Learning Strategies
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
Lee, Ju Seong – Language Learning & Technology, 2019
While research on informal digital learning of English (IDLE) increases in the fields of teaching English to speakers of other languages and computer-assisted language learning, few studies have examined the relationship between quantity and diversity of IDLE practices and different language learning outcomes. To address this gap, data were…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods
Liu, Sha; Yu, Guoxing – Language Learning & Technology, 2022
This study used eye-tracking, in combination with stimulated recalls and reflective journals, to investigate L2 learners' engagement with automated feedback and the impact of feedback explicitness and accuracy on their engagement. Twenty-four Chinese EFL learners revised their writing through Write & Improve with Cambridge, a new automated…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Feedback (Response)
Elgort, Irina – Language Learning & Technology, 2017
This study investigates differences in the language and discourse characteristics of course blogs and traditional academic submissions produced in English by native (L1) and advanced second language (L2) writers. One hundred and fifty-two texts generated by 38 graduate students within the context of the same Master's level course were analysed…
Descriptors: Graduate Students, Student Journals, Electronic Journals, Writing Assignments
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