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Direct linkYucel 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
Heather Lotherington; Noah Bradley – Language Learning & Technology, 2024
This article presents a study on novel language forms and uses across evolving digital environments, and questions whether emerging digital communication conventions should have a place in language education. The study was motivated by the deepening gap between the content of and approaches to language instruction evident in popular…
Descriptors: Computer Mediated Communication, Language Research, Digital Literacy, Content Analysis
Muntaha Muntaha; Julian Chen; Toni Dobinson – Language Learning & Technology, 2024
Technological advancement has enabled language learners to employ verbal and nonverbal cues in computer-mediated communication (CMC). These cues can support language use for learners wishing to communicate more effectively in English. Interactive alignment is one phenomenon that shows how humans tend to collaborate in their language use by…
Descriptors: Social Media, Technology Uses in Education, Computer Mediated Communication, Experiential Learning
Hyangeun Ji; Insook Han; Soyeon Park – Language Learning & Technology, 2024
This study investigated the usage of conversational artificial intelligence (CAI) to support learners in foreign language classrooms. It employed Google Assistant and focused on the interactions between the teacher, learners, and CAI, as well as the teacher's collaboration with CAI. Using social network and content analyses of two 50-minute…
Descriptors: Second Language Learning, Artificial Intelligence, Computer Mediated Communication, Natural Language Processing
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
