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Sang-Gu Kang – Journal of Pan-Pacific Association of Applied Linguistics, 2023
Generative AIs such as Google Bard are known to be equipped with techniques and grammatical principles of human language based on a large corpus of text and code that allow them to generate natural-sounding language, and also identify and correct grammatical errors in human-written texts. Still, they are not perfect language generators, and this…
Descriptors: Artificial Intelligence, Natural Language Processing, Error Correction, Writing (Composition)
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Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
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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
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Adnane Ez-zizi; Dagmar Divjak; Petar Milin – Language Learning, 2024
Since its first adoption as a computational model for language learning, evidence has accumulated that Rescorla-Wagner error-correction learning (Rescorla & Wagner, 1972) captures several aspects of language processing. Whereas previous studies have provided general support for the Rescorla-Wagner rule by using it to explain the behavior of…
Descriptors: Error Correction, Second Language Learning, Second Language Instruction, Gender Differences
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Jackson, Marianne L.; Nuñez, Rocio M.; Maraach, Dana; Wilhite, Chelsea J.; Moschella, Jp D. – Journal of Applied Behavior Analysis, 2021
Various forms of humor are an important aspect of social interactions, even at an early age. Humor comprehension is a repertoire that is said to emerge between the ages of 7 and 11 years, and this is primarily attributed to a child's level of cognitive development. The behavioral literature has suggested that various forms of complex verbal…
Descriptors: Humor, Teaching Methods, Language Processing, Interpersonal Relationship
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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
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Xinlan Chen; Cheng Zeng; Christiane Dalton-Puffer – Journal of Multilingual and Multicultural Development, 2024
Current research on the in-class discursive realities in English as a Medium of Instruction (EMI) classrooms has been mostly restricted to whole class scenarios, whereas student-student interactive discourse in task-based activities is largely ignored. This study explores peer interactions among university students in an EMI marketing course in…
Descriptors: Marketing, English (Second Language), Second Language Learning, Language of Instruction
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Kara Moranski; Nicole Ziegler; Abbie Finnegan – Foreign Language Annals, 2024
Text chat facilitates L2 use by providing learners with extended time to plan, monitor, and process production during interactional tasks. However, learners may not naturally take advantage of these affordances, especially for providing peer feedback. This study used video-enhanced chat scripts to examine the behavior of beginner L2 Spanish…
Descriptors: Metacognition, Second Language Learning, Second Language Instruction, Peer Relationship
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Waad Alsaweed; Saad Aljebreen – International Journal of Computer-Assisted Language Learning and Teaching, 2024
Artificial intelligence revolution becomes a trend in most aspects of life. ChatGPT, an AI chatbot, has impacted various domains, including education and language learning. Enhancing writing abilities of ESL learners requires frequent writing practice and feedback, which ChatGPT can easily provide. However, ChatGPT's accuracy in identifying and…
Descriptors: Error Correction, Writing Instruction, Grammar, Morphemes
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Huang, Ping-Yu; Tsao, Nai-Lung – Computer Assisted Language Learning, 2021
In this article, we describe an online English collocation explorer developed to help English L2 learners produce correct and appropriate collocations. Our tool, which is able to visually represent relevant correct/incorrect collocations on a single webpage, was designed based on the notions of collocation clusters and intercollocability proposed…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Error Correction
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Pintér, Lilla; Surányi, Balázs – First Language, 2023
Previous research has uncovered that, despite the omnipresence of focus in utterances, children typically do not compute the exhaustivity inference associated with cleft(-like) syntactic focus constructions at adult-like levels before 7 years of age. Children's comparable limitations with lexically triggered scalar implicatures, inferences with an…
Descriptors: Preschool Children, Language Processing, Language Acquisition, Accuracy
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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
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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
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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
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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
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