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Hsiu-Chen Hsu – Computer Assisted Language Learning, 2024
Previous studies on web-based collaborative writing have shown that task modality impacts peer interaction patterns and attention to form. However, these studies have primarily focused on contrasting a face-to-face oral condition with a text-based synchronous computer-mediated communication (SCMC) environment. Few studies have compared peer…
Descriptors: Peer Relationship, Attention, Electronic Learning, Asynchronous Communication
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
Schroeder, Noah L.; Chiou, Erin K.; Siegle, Robert F.; Craig, Scotty D. – Journal of Educational Computing Research, 2023
Virtual humans are on-screen characters that are often embedded in learning technologies to deliver educational content. Little research has investigated how virtual humans can be used to correct common misconceptions. In this study, we explored how different types of narrative structures, refutation text and expository text, influence perceptions…
Descriptors: Robotics, Computer Simulation, Educational Technology, Error Correction
Yen, Emily Lau Yen; Mohamad, Maslawati – Journal of Education and e-Learning Research, 2021
Spelling mastery is an important prerequisite of proficiency in the English language. The conventional language teaching strategy needs to be revolutionized for the 21st century by utilizing Information and Communication Technology (ICT) to enable English as a Second Language (ESL) students to master spelling. As such, online teaching and learning…
Descriptors: Spelling Instruction, Instructional Effectiveness, English (Second Language), Second Language Learning
Klimova, Blanka; Pikhart, Marcel – Cogent Education, 2022
The majority of foreign language learning (FLL) has recently been conducted online due to unprecedented changes in society and this trend seems to be global and perpetual even if the situation changes. Unfortunately, there is still low awareness among language instructors of the impact it may have on the corrective feedback they provide to their…
Descriptors: Error Correction, Teaching Methods, Second Language Learning, Second Language Instruction
Costello, Eamon; Johnston, Keith; Wade, Vincent – Interactive Learning Environments, 2023
This research investigated how the bug tracker database of the Virtual Learning Environment (VLE) Moodle is developed as an application of crowd work. The bug tracker is used by software developers, who write and maintain Moodle's code, but also by a wider public world of ordinary Moodle users who can report bugs. Despite many studies of the…
Descriptors: Electronic Learning, Educational Technology, Computer Software, Cooperation
Pernille Fiskerstrand; Siv M. Gamlem – Assessment in Education: Principles, Policy & Practice, 2024
The quality of feedback interactions, when young pupils write, influences their learning processes. Still, teachers tend to use feedback that provides little information to enhance pupils' understanding and learning regarding their literacy skills. More knowledge about feedback interactions for young pupils as they write is needed. Thus, we wanted…
Descriptors: Feedback (Response), Oral Language, Writing Instruction, Literacy
Gao, Jianwu; Ma, Shuang – Language Teaching Research, 2022
This study investigated the intensity and efficacy of automated corrective feedback (CF) in a tutorial CALL (computer-assisted language learning) environment during form-focused drills as compared with those of instructor CF on free writing in the classroom. The English simple past tense, a previously learned target structure, was selected as the…
Descriptors: Feedback (Response), Writing (Composition), Computer Assisted Instruction, Second Language Learning
Rustam Shadiev; Yingying Feng – Interactive Learning Environments, 2024
Previous review studies do not have a broad and comprehensive perspective on the usage of ACF tools in language learning. To address this gap, we reviewed 82 articles on the use of ACF tools published in the last five years. Results indicate that 43 ACF tools were used in studies to assist writing, grammar, spelling, and collocation and word use.…
Descriptors: Automation, Feedback (Response), Educational Technology, Technology Uses in Education
Chao-Jung Ko – Computer Assisted Language Learning, 2024
This study aimed to examine the impact of an online writing system (OWS) providing individualized corrective feedback (CF) on learners' self-correction of grammatical errors (GE). It consisted of two phases: the pilot and the formal phases. Four EFL (English as a Foreign Language) Taiwanese university students participated in the study at the…
Descriptors: Feedback (Response), English (Second Language), Second Language Learning, Grammar
Chen, Xingliang; Mitrovic, Antonija; Mathews, Moffat – IEEE Transactions on Learning Technologies, 2020
Problem solving, worked examples, and erroneous examples have proven to be effective learning activities in Intelligent Tutoring Systems (ITSs). However, it is generally unknown how to select learning activities adaptively in ITSs to maximize learning. In the previous work of A. Shareghi Najar and A. Mitrovic, alternating worked examples with…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Learning Activities, Educational Technology
Paul John; Nina Wolf – CALICO Journal, 2020
Our study examines written corrective feedback generated by two online grammar checkers (GCs), Grammarly and Virtual Writing Tutor, and by the grammar checking function of Microsoft Word. We tested the technology on a wide range of grammatical error types from two sources: a set of authentic ESL compositions and a series of simple sentences we…
Descriptors: English (Second Language), Feedback (Response), Automation, Grammar
Sert, Olcay; Balaman, Ufuk – ReCALL, 2018
Recent research shows that negotiation of meaning in online task-oriented interactions can be a catalyst for L2 (second/foreign/additional language) development. However, how learners undertake such negotiation work and what kind of an impact it has on interactional development in an L2 are still largely unknown mainly due to a lack of focus on…
Descriptors: Second Language Learning, Interaction, Language Usage, Standards
Bottge, Brian A.; Ma, Xin; Gassaway, Linda J.; Jones, Megan; Gravil, Meg – Remedial and Special Education, 2021
Learning to compute with fractions is a major challenge for many students and especially for students with disabilities (SWD). Phase 1 of this study employed a randomized pretest-posttest comparison design to test the effects of two versions of formative assessment combined with an instructional program called Fractions at Work. In one condition,…
Descriptors: Formative Evaluation, Fractions, Computation, Students with Disabilities
Majlesi, Ali Reza – Modern Language Journal, 2018
This study aims to show how multimodality, that is, the mobilization of various communicative resources in social actions (Mondada, 2016), can be used to teach grammar. Drawing on ethnomethodological conversation analysis (Sacks, 1992), the article provides a detailed analysis of 2 corrective feedback sequences in a Swedish-as-a-second-language…
Descriptors: Grammar, Error Correction, Feedback (Response), Swedish