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Sebastian Gombert; Aron Fink; Tornike Giorgashvili; Ioana Jivet; Daniele Di Mitri; Jane Yau; Andreas Frey; Hendrik Drachsler – International Journal of Artificial Intelligence in Education, 2024
Various studies empirically proved the value of highly informative feedback for enhancing learner success. However, digital educational technology has yet to catch up as automated feedback is often provided shallowly. This paper presents a case study on implementing a pipeline that provides German-speaking university students enrolled in an…
Descriptors: Automation, Student Evaluation, Essays, Feedback (Response)
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Yishen Song; Qianta Zhu; Huaibo Wang; Qinhua Zheng – IEEE Transactions on Learning Technologies, 2024
Manually scoring and revising student essays has long been a time-consuming task for educators. With the rise of natural language processing techniques, automated essay scoring (AES) and automated essay revising (AER) have emerged to alleviate this burden. However, current AES and AER models require large amounts of training data and lack…
Descriptors: Scoring, Essays, Writing Evaluation, Computer Software
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Pedro Isaias; Tania Hoque; Paula Miranda – International Association for Development of the Information Society, 2024
While the higher education sector is continuously searching for innovative technologies, the use of chatbots requires extensive research and careful consideration of their pedagogical value. The lessons learned from lecturers who experiment with chatbots can constitute important evidence to support their use. This paper presents a chatbot…
Descriptors: Instructional Material Evaluation, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Byung-Doh Oh – ProQuest LLC, 2024
Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…
Descriptors: Language Processing, Computational Linguistics, Artificial Intelligence, Computer Software
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Matthew W. Lowder; Adrian Zhou; Peter C. Gordon – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
"Hospital" can refer to a physical place or more figuratively to the people associated with it. Such place-for-institution metonyms are common in everyday language, but there remain several open questions in the literature regarding how they are processed. The goal of the current eyetracking experiments was to investigate how metonyms…
Descriptors: Semantics, Eye Movements, Ambiguity (Semantics), Language Processing
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Tang Minh Dung; Vo Khoi Nguyen; Ðoàn Cao Minh Trí; Phú Lúóng Chí Quõc; Bui Hoang Dieu Ban – Canadian Journal of Learning and Technology, 2024
The rapid rise of artificial intelligence (AI), exemplified by ChatGPT, has transformed education. However, few studies have examined the factors influencing its adoption in higher education, especially among Mathematics student teachers. This study investigates factors that influence the behavioural intentions of Mathematics student teachers…
Descriptors: Mathematics Teachers, Intention, Artificial Intelligence, Man Machine Systems
Zuowei Wang; Tenaha O’Reilly; Rebecca Sutherland – ETS Research Institute, 2024
In 2022, Advanced Education Research and Development Fund's (AERDF) Reading Reimagined launched the Equitable Foundational Literacy Research (EFLR) cohort, a group of four independently designed and researched instructional pilots aiming to support the foundational literacy skills of students from traditionally underserved populations in Grades…
Descriptors: Decoding (Reading), Reading Skills, Skill Development, Reading Tests
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Ntabo, Victor Ondara; Onyango, James Ogola; Ndiritu, Nelson Ng'arua – Advances in Language and Literary Studies, 2022
Food is useful in the transference of semantic aspects that are vital in the construction of masculinity in society. Consequently, foodsemic metaphors that aid in the conceptualization of "omosacha" (a man) are pervasive in Ekegusii. Metaphor use may, however, present difficulties in comprehension due to the various interpretations that…
Descriptors: Food, Semantics, Psycholinguistics, Masculinity
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Zitouni, Mimouna; Zemni, Bahia; Abdul-Ghafour, Abdul-Qader – Journal of Language and Linguistic Studies, 2022
The current study investigated the nuances among Qur'anic near-synonyms and the reflection of such semantic differences in English and French translations. Initially, it aimed to highlight the contextual meanings of the selected sets of Qur'anic near-synonyms in the light of the exegeses of the Holy Qur'an. Moreover, it explicated the nuances…
Descriptors: Islam, Semantics, Language Usage, French
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Chen, Xuemei; Wang, Suiping; Hartsuiker, Robert J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Structural priming studies in production have demonstrated stronger priming effects for unexpected sentence structures (inverse preference effect). This is consistent with error-based implicit learning accounts that assume learning depends on prediction error. Such prediction error can be verb-specific, leading to strong priming when a verb that…
Descriptors: Sentence Structure, Priming, Language Processing, Reading Comprehension
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Xu Rattanasone, Nan; Yuen, Ivan; Holt, Rebecca; Demuth, Katherine – Journal of Child Language, 2022
Learning to use word versus phrase level prosody to identify compounds from lists is thought to be a protracted process, only acquired by 11 years (Vogel & Raimy, 2002). However, a recent study has shown that 5-year-olds can use prosodic cues other than stress for these two structures in production, at least for early-acquired noun-noun…
Descriptors: Phrase Structure, Intonation, Suprasegmentals, Cues
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Schiller, Isabel S.; Remacle, Angélique; Durieux, Nancy; Morsomme, Dominique – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Background noise and voice problems among teachers can degrade listening conditions in classrooms. The aim of this literature review is to understand how these acoustic degradations affect spoken language processing in 6- to 18-year-old children. Method: In a narrative report and meta-analysis, we systematically review studies that…
Descriptors: Acoustics, Voice Disorders, Oral Language, Language Processing
Ku, Yun-Ruei – ProQuest LLC, 2022
Previous research has shown that language learners tend to produce fewer and less-natural multi-word sequences (MWSs) compared to native speakers of the same language. In the present study, collocational processing was investigated in a sentence reading task. Specifically, the familiar collocations were predicted to modulate the P3 mean amplitudes…
Descriptors: English, Monolingualism, Mandarin Chinese, Bilingualism
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…
Descriptors: Automation, Scoring, Documentation, Likert Scales
Lin, Kimberly R.; Wisman Weil, Lisa; Thurm, Audrey; Lord, Catherine; Luyster, Rhiannon J. – Autism & Developmental Language Impairments, 2022
Background & aims: Throughout typical development, children prioritize different perceptual, social, and linguistic cues to learn words. The earliest acquired words are often those that are perceptually salient and highly imageable. Imageability, the ease in which a word evokes a mental image, is a strong predictor for word age of acquisition…
Descriptors: Autism Spectrum Disorders, Expressive Language, Visualization, Predictor Variables
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