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Neil E. J. A. Bowen; Richard Watson Todd – Teaching English with Technology, 2025
An increasing number of studies have investigated how ChatGPT can aid in written assessment and feedback provision. However, many studies overlook its conversational design and underlying architecture, raising concerns about the reliability and validity of their analytical outputs. Therefore, applying first principles thinking to prompt use, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Cues
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Manaf Al-Okaily – Education and Information Technologies, 2025
ChatGPT a state-of-the-art language model created by Open Artificial Intelligence (AI), can revolutionize education by improving student engagement and making learning more personalized. Consequently, the study's purpose is to evaluate the antecedent factors that the influence usage and continuance usage of a recently introduced AI-based tool…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Resources, Educational Technology
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Dinuka B. Herath; Egena Ode; Gayanga B. Herath – British Educational Research Journal, 2025
This study provides a comparative assessment of the capabilities of leading artificial intelligence (AI) tools and human participants in a business management education context. Specifically, we (a) assess how well current language models perform in providing answers to standardised essay-type assessments in a business and management education…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Educational Benefits
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Saman Ebadi; Hassan Nejadghanbar; Ahmed Rawdhan Salman; Hassan Khosravi – Journal of Academic Ethics, 2025
This study investigates the perspectives of 12 journal reviewers from diverse academic disciplines on using large language models (LLMs) in the peer review process. We identified key themes regarding integrating LLMs through qualitative data analysis of verbatim responses to an open-ended questionnaire. Reviewers noted that LLMs can automate tasks…
Descriptors: Artificial Intelligence, Peer Evaluation, Periodicals, Journal Articles
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Silvia Silleresi; Elena Pagliarini; Maria Teresa Guasti – First Language, 2025
This study investigates the interpretation of disjunction words (Italian 'o') in negative sentences by Italian monolingual and bilingual (L1 Italian - L2 English) children and Italian adults. Participants were asked to judge Italian sentences corresponding to the English sentence 'This animal did not eat the carrot or the pepper'. According to the…
Descriptors: Bilingualism, Semantics, Linguistic Theory, Italian
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Carla Contemori; Claudia Manetti; Federico Piersigilli – First Language, 2025
For children, Object Relative (OR) clauses can be late acquired across a number of languages (e.g., this is the goat that the cows are pushing), and production of non-standard ORs that include resumption is often attested (e.g., Italian; French; English). In addition, starting at age 6, children start adopting passive subject relatives (SRs)…
Descriptors: Italian, Phrase Structure, Language Acquisition, Native Language
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Diana Šimic; Barbara Šlibar; Jelena Gusic Mundar; Sabina Rako – Technology, Knowledge and Learning, 2025
Researchers and practitioners from different disciplines (e.g., educational science, computer science, statistics) continuously enter the rapidly developing research field of learning analytics (LA) and bring along different perspectives and experiences in research design and methodology. Scientific communities share common problems, concepts,…
Descriptors: Learning Analytics, Higher Education, Science Education, Publications
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Andrew Runge; Sarah Goodwin; Yigal Attali; Mya Poe; Phoebe Mulcaire; Kai-Ling Lo; Geoffrey T. LaFlair – Language Testing, 2025
A longstanding criticism of traditional high-stakes writing assessments is their use of static prompts in which test takers compose a single text in response to a prompt. These static prompts do not allow measurement of the writing process. This paper describes the development and validation of an innovative interactive writing task. After the…
Descriptors: Material Development, Writing Evaluation, Writing Assignments, Writing Skills
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Chen, Zhong; Hale, John T. – Cognitive Science, 2021
Information-theoretic complexity metrics, such as Surprisal (Hale, 2001; Levy, 2008) and Entropy Reduction (Hale, 2003), are linking hypotheses that bridge theorized expectations about sentences and observed processing difficulty in comprehension. These expectations can be viewed as syntactic derivations constrained by a grammar. However, this…
Descriptors: Sentences, Language Processing, Phrase Structure, Nouns
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Baldwin, Peter; Yaneva, Victoria; Mee, Janet; Clauser, Brian E.; Ha, Le An – Journal of Educational Measurement, 2021
In this article, it is shown how item text can be represented by (a) 113 features quantifying the text's linguistic characteristics, (b) 16 measures of the extent to which an information-retrieval-based automatic question-answering system finds an item challenging, and (c) through dense word representations (word embeddings). Using a random…
Descriptors: Natural Language Processing, Prediction, Item Response Theory, Reaction Time
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Li, Jiangtian; Joanisse, Marc F. – Cognitive Science, 2021
Most words in natural languages are polysemous; that is, they have related but different meanings in different contexts. This one-to-many mapping of form to meaning presents a challenge to understanding how word meanings are learned, represented, and processed. Previous work has focused on solutions in which multiple static semantic…
Descriptors: Computational Linguistics, Semantics, Ambiguity (Semantics), Language Processing
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Zhao, Licui; Yasunaga, Daichi; Kojima, Haruyuki – Journal of Psycholinguistic Research, 2021
The present study reported an experiment examining whether both native speakers (NSs) and non-native speakers (NNSs) give formulaic sequences (FSs) priority over novel phrases in processing, as the dual route model has postulated. In this experiment, NSs and NNSs were asked to read Japanese versions of semi-transparent restricted collocations…
Descriptors: Native Speakers, Novelty (Stimulus Dimension), Language Processing, Japanese
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Kenanidis, Panagiotis; Chondrogianni, Vicky; Legendre, Géraldine; Culbertson, Jennifer – Journal of Child Language, 2021
Previous studies across languages (English, Spanish, French) have argued that perceptual salience and cue reliability can explain cross-linguistic differences in early comprehension of verbal agreement. Here we tested this hypothesis further by investigating early comprehension in Greek, where markers have high salience and reliability (compared…
Descriptors: Greek, Comprehension, Cues, Child Language
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Roy, Abhik; Rambo-Hernandez, Karen E. – American Journal of Evaluation, 2021
Evaluators often find themselves in situations where resources to conduct thorough evaluations are limited. In this paper, we present a familiar instance where there is an overwhelming amount of open text to be analyzed under the constraints of time and personnel. In instances when timely feedback is important, the data are plentiful, and answers…
Descriptors: Artificial Intelligence, Engineering Education, Natural Language Processing, College Students
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Woodruff Carr, Kali; Perszyk, Danielle R.; Norton, Elizabeth S.; Voss, Joel L.; Poeppel, David; Waxman, Sandra R. – Developmental Science, 2021
The power and precision with which humans link language to cognition is unique to our species. By 3-4 months of age, infants have already established this link: simply listening to human language facilitates infants' success in fundamental cognitive processes. Initially, this link to cognition is also engaged by a broader set of acoustic stimuli,…
Descriptors: Infants, Child Development, Brain, Language Processing
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