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Song, Yi; Sparks, Jesse R.; Guzman-Orth, Danielle – Computer Assisted Language Learning, 2022
The goal of this project was to design a scaffolded learning activity that develops English learners' (ELs) argumentation skills. In this study, we investigated how middle school ELs interacted with a game-enhanced scenario-based assessment of argumentation skills (named "Seaball"). The target skills included identifying and classifying…
Descriptors: English Language Learners, Persuasive Discourse, Skill Development, Middle School Students
Fan, Cheng-Yu; Chen, Gwo-Dong – Computer Assisted Language Learning, 2021
Evidence indicates that graphic organizers, such as concept maps and argument maps, could help students develop a stronger argumentation ability and build effective argumentative structures. In this study, we designed a computer-aided argumentative essay writing system to assist students in learning structures of argumentation and in enhancing…
Descriptors: Scaffolding (Teaching Technique), Persuasive Discourse, Essays, Writing Improvement
Awada, Ghada M.; Diab, Nuwar Mawlawi – Computer Assisted Language Learning, 2023
This study set out to examine which peer review, face-to-face given orally or online given in writing, is more effective in improving the overall argumentative writing achievement of English as a foreign language (EFL) university learners. The study utilized an experimental design and reported on one experiment including online peer review (OLPR)…
Descriptors: Peer Evaluation, Feedback (Response), English (Second Language), College Students
Wang, Linnan – Computer Assisted Language Learning, 2022
Although regulation has become a critical method to improve the effect of collaborative writing in L2 classes, it is still not clear how the regulation activities influence peer interactions, which is important for improvement of regulation itself. This case study examined dynamic interactions of several small teams of ESL students when they…
Descriptors: Interaction, Collaborative Writing, Foreign Countries, Second Language Learning
Chung, Eun Seon; Ahn, Soojin – Computer Assisted Language Learning, 2022
Many studies that have investigated the educational value of online machine translation (MT) in second language (L2) writing generally report significant improvements after MT use, but no study as of yet has comprehensively analyzed the effectiveness of MT use in terms of various measures in syntactic complexity, accuracy, lexical complexity, and…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning