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Wai Tong Chor; Kam Meng Goh; Li Li Lim; Kin Yun Lum; Tsung Heng Chiew – Education and Information Technologies, 2024
The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…
Descriptors: Artificial Intelligence, Engineering Education, Taxonomy, Educational Objectives
Ahmed Magooda; Diane Litman; Ahmed Ashraf; Muhsin Menekse – Grantee Submission, 2022
Having students write reflections has been shown to help teachers improve their instruction and students improve their learning outcomes. With the aid of Natural Language Processing (NLP), real-time educational applications that can assess and provide feedback on reflection quality can be deployed. In this work, we first evaluate various NLP…
Descriptors: Undergraduate Students, Writing Assignments, Reflection, Natural Language Processing
Jiaxin Li; Er-Hu Zhang; Haihui Zhang; Hecui Gou; Hong-Wen Cao – International Journal of Multilingualism, 2024
Three experiments explored how retrieval practice and corrective feedback affect a third language (L3) vocabulary learning. In the first two experiments, Chinese-English bilinguals without prior French language experience studied English (Second Language, L2)--French (L3) word pairs in repeated studying or retrieval practice without (Experiment…
Descriptors: Multilingualism, Second Language Learning, Vocabulary Development, Error Correction
Mei-Rong Alice Chen – Educational Technology & Society, 2024
The increase in popularity of Generative Artificial Intelligence Chatbots, or GACs, has created a potentially fruitful opportunity to enhance teaching English as a Foreign Language (EFL). This study investigated the possibility of using GACs to give EFL students metalinguistic guidance (MG) in linguistics courses. Language competency gaps, a lack…
Descriptors: Metacognition, Transformative Learning, English (Second Language), Artificial Intelligence
Mo Li; Shulin Yu; Pauline Mak; Chunhong Liu – Interpreter and Translator Trainer, 2023
Informed by the effective feedback model, the study explored the efficacy of peer assessment (PA) regarding feedback content, strategy, and uptake along with their intertwined relationships in translator education. Multiple sources of data, including students' translation drafts and their revised work, audio recordings of PA presentations and…
Descriptors: Peer Evaluation, Feedback (Response), Instructional Effectiveness, Translation
Giang Thi Linh Hoang; Neomy Storch – Iranian Journal of Language Teaching Research, 2024
Research has suggested that the type of feedback learners receive can impact on whether learners understand the feedback, the extent to which they engage with it, and whether they incorporate it in their revised drafts. However, to date, only a small number of studies have investigated learner engagement with corrective feedback provided by…
Descriptors: Case Studies, Language Processing, English (Second Language), Second Language Learning
Dongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
Öner Bulut, Senem; Alimen, Nilüfer – Interpreter and Translator Trainer, 2023
Motivated by the urgent need to investigate the possibilities for re-positioning the human translator and his/her educator in the machine translation (MT) age, this article explores the dynamics of the human-machine dance in the translation classroom. The article discusses the results of a collaborative learning experiment which was conducted in…
Descriptors: Translation, Teaching Methods, Self Efficacy, Second Languages
Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
Miranty, Delsa; Widiati, Utami – Pegem Journal of Education and Instruction, 2021
Automated Writing Evaluation (AWE) has been considered a potential pedagogical technique that exploits technology to assist the students' writing. However, little attention has been devoted to examining students' perceptions of Grammarly use in higher education context. This paper aims to obtain information regarding the writing process and the…
Descriptors: Foreign Countries, Technology Uses in Education, Writing (Composition), Student Attitudes
Nowbakht, Mohammad; Olive, Thierry – Written Communication, 2021
This study examined the role of error-type and working memory (WM) in the effectiveness of direct-metalinguistic and indirect written corrective feedback (WCF) on self error-correction in first-language writing. Fifty-one French first-year psychology students volunteered to participate in the experiment. They carried out a first-language…
Descriptors: Short Term Memory, Feedback (Response), Error Correction, Foreign Countries
Lu Cao; Stephen Doherty; James F. Lee – Interpreter and Translator Trainer, 2023
As the final phase of the translation process, self-revision has traditionally been a relatively neglected component despite it being widely acknowledged as critical to achieving high-quality translation and in translator training. To identify effective educational interventions for self-revision, the current paper reports on a study that…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Professional Education
Cho, Hyejin; Kim, YouJin; Park, Seyoung – Language Awareness, 2022
The present study examined students' attention to linguistic forms during writing tasks and compared individual and collaborative writing conditions. Furthermore, the ways students in both conditions process indirect synchronous written corrective feedback (SWCF) and the ways they respond to it (i.e., uptake) were investigated. The target…
Descriptors: Error Correction, Feedback (Response), Second Language Learning, Second Language Instruction
Ureel, Jim J. J.; Diels, Ella; Robert, Isabelle S.; Schrijver, Iris – Interpreter and Translator Trainer, 2022
As expert intercultural communicators, translators constantly face the challenges of comprehending and producing language that is stylistically appropriate in various communicative contexts. To scale these challenges, they must acquire advanced levels of sociolinguistic competence. Although sociolinguistic competence is considered an essential…
Descriptors: Translation, Sociolinguistics, Undergraduate Students, Indo European Languages
Leow, Ronald P.; Thinglum, Anne; Leow, Stephanie A. – Studies in Second Language Learning and Teaching, 2022
Whether type of written corrective feedback (WCF) impacts L2 learning has been investigated for decades. While many product-oriented studies report conflicting findings, the paucity of studies adopting both a process-oriented and curricular approach (e.g., Caras, 2019) underscores the call for further research on: (1) the processing dimension of…
Descriptors: Error Correction, Second Language Learning, Second Language Instruction, Spanish
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