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Student use and instructor beliefs: Machine translation in language education
...lect words/phrases in English that are (a) beyond students’ level, and (b) have multiple definitions in the target language. Possible examples for the learners in this article could be: “hike” or “m...

by Emily A. Hellmich, Kimberly Vinall
in Volume 27 Number 1, 2023

Automated versus peer assessment: Effects of learners' English public speaking
...led interaction rather than machine-led interaction (Fu et al.; 2022; Lai, 2010). Therefore, the role of peers in promoting learners’ social engagement in language learning is indispensable. While w...

by Chunping Zheng, Xu Chen, Huayang Zhang, Ching Sing Chai
in Volume 28 Number 2, June 2024 Special Issue: Artificial Intelligence for Language Learning

Synchronous CMC, Working Memory, and L2 Oral Proficiency Development
...le of the phonological loop in language learning indicates that PWMC is related to foreign language vocabulary learning in laboratory (Papagno, Valentine, & Baddelely, 1991; Papagno & Vallar, 1995) ...

by Scott Payne, Brenda Ross
in Volume 09 Number 3, September 2005 Special Issue on Technology and Oral Language Development

Effects of DDL technology on genre learning
...le & Wingate, 2013), for these dimensions are reflected in the interactive facets of genre knowledge: formal knowledge, rhetorical knowledge, and process knowledge (Tardy, 2009).3 Figure 1 depicts t...

by Elena Cotos, Stephanie Link, Sarah Huffman
in Volume 21 Number 3, October 2017 Special Issue on Corpora in Language Learning and Teaching

Fostering intercultural sensitivity in language learning: Quality talk in telecollaboration
...le=1019&context=com_facpubs Fuchs, C. (2016). “Are you able to access this website at all?” – Team negotiations and macro-level challenges in telecollaboration. Computer Assisted Language Learning,...

by Huey-Jye You, Hui-Chin Yeh, Grace Yue Qi
in Volume 29 Number 1, 2025

Different effects of machine translation on L2 revisions across students’ L2 writing proficiency levels
...le the higher-level students in the present study were capable of evaluating the MT versions and critically selecting the appropriate options, the lower-level students were less capable and thus les...

by Sangmin-Michelle Lee
in Volume 26 Number 1, 2022

Visual reinforcement through digital zoom technology in FL pronunciation instruction
...ledge, declarative knowledge and procedural knowledge, with the former being referred to as “knowledge that” and the latter “knowledge how” (DeKeyser, 2017, p. 16). Second language (L2) instruction ...

by Siqi Wang, Jian Li, Qian Liang
in Volume 28 Number 1, 2024

Teaching German modal particles: A corpus-based approach
...les in a narrower sense: Martina Mollering Teaching German Modal Particles... Language Learning & Technology 131 Particles as Word Class A word like aber, for example, which is a particle in the broad...

by Martina Mollering
in Volume 05 Number 3, September 2001 Special Issue Using Corpora in Language Teaching and Learning

Second language learners’ post-editing strategies for machine translation errors
...led learners were consistently using more strategies than the less skilled learners (see Table 10). This indicates, particularly for sentence deletion, that the less skilled learners preferred to wo...

by Dongkawang Shin, Yuah V. Chon
in Volume 27 Number 1, 2023

Data-Informed language learning
...Learner Corpus provides an example and model (Vyatkina, 2016c). Learner writing samples were collected every 3 to 5 weeks over several semesters. The samples were annotated for multiple linguistic f...

by Robert Godwin-Jones
in Volume 21 Number 3, October 2017 Special Issue on Corpora in Language Learning and Teaching