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Pahl, Angelika; Fuchs, Hans U.; Corni, Federico – Education Sciences, 2022
In this article, we present kindergarten children's ideas about thermal phenomena before any educational intervention took place. In order to capture and account for the heterogeneity of the kindergarten group in this study, first teachers observed children's exploration behavior, task orientation, science interest, and language comprehension in…
Descriptors: Kindergarten, Young Children, Concept Formation, Knowledge Level
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Chansanam, Wirapong; Jaroenruen, Yuttana; Kaewboonma, Nattapong; Tuamsuk, Kulthida – Education for Information, 2022
This article describes the development process of the Thai cultural knowledge graph, which facilitates a more precise and rapid comprehension of the culture and customs of Thailand. The construction process is as follows: First, data collection technologies and techniques were used to obtain text data from the Wikipedia encyclopedia about cultural…
Descriptors: Foreign Countries, Graphs, Data Collection, Semantics
Morrison, Ryan – Online Submission, 2022
Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…
Descriptors: Models, Mathematics, Automation, Natural Language Processing
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Schuler, Kathryn D.; Kodner, Jordan; Caplan, Spencer – First Language, 2020
In 'Against Stored Abstractions,' Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious -- why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more -- and implies that his…
Descriptors: Language Processing, Language Acquisition, Computational Linguistics, Linguistic Theory
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Gulgowski, Piotr; Blaszczak, Joanna – Journal of Psycholinguistic Research, 2020
The number meaning of grammatically plural nouns is to some extent context sensitive. In negative sentences, plural nouns typically receive an inclusive reading referring to any number of individuals (one or many). This contrasts with their more frequent exclusive reading referring to a group of two or more individuals. The present study…
Descriptors: Morphemes, Nouns, Polish, Psycholinguistics
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Meigh, Kimberly M.; Cobun, Emily; Yunusova, Yana – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Lexical stress and phoneme processes converge during phonological encoding, but the nature of the convergence has been debated. Stress patterns and phonemes may be integrated automatically and rigidly, resulting in a unified representation. Alternatively, stress and phoneme may be processed interactively based on sublexical contexts. The…
Descriptors: Phonemes, Suprasegmentals, Repetition, Adults
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Haug, Tobias; Mann, Wolfgang; Holzknecht, Franz – Sign Language Studies, 2023
This study is a follow-up to previous research conducted in 2012 on computer-assisted language testing (CALT) that applied a survey approach to investigate the use of technology in sign language testing worldwide. The goal of the current study was to replicate the 2012 study and to obtain updated information on the use of technology in sign…
Descriptors: Computer Assisted Testing, Sign Language, Natural Language Processing, Language Tests
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Chen, Xuemei; Hartsuiker, Robert J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Arai et al. (2007) showed that structural priming in the comprehension of English dative sentences only occurred when the verb was repeated between prime and target, suggesting a lexically-dependent mechanism of structure prediction. However, a recent study in Mandarin comprehension found abstract (verb-independent) structural priming and such…
Descriptors: Indo European Languages, Reading Comprehension, Priming, Prediction
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Phillips, Tanner M.; Saleh, Asmalina; Ozogul, Gamze – International Journal of Artificial Intelligence in Education, 2023
Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…
Descriptors: Reflection, Artificial Intelligence, Natural Language Processing, Data Collection
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Hosseini, Mohammad; Resnik, David B.; Holmes, Kristi – Research Ethics, 2023
In this article, we discuss ethical issues related to using and disclosing artificial intelligence (AI) tools, such as ChatGPT and other systems based on large language models (LLMs), to write or edit scholarly manuscripts. Some journals, such as "Science," have banned the use of LLMs because of the ethical problems they raise concerning…
Descriptors: Ethics, Artificial Intelligence, Computational Linguistics, Natural Language Processing
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Mayer, Christian W. F.; Ludwig, Sabrina; Brandt, Steffen – Journal of Research on Technology in Education, 2023
This study investigates the potential of automated classification using prompt-based learning approaches with transformer models (large language models trained in an unsupervised manner) for a domain-specific classification task. Prompt-based learning with zero or few shots has the potential to (1) make use of artificial intelligence without…
Descriptors: Prompting, Classification, Artificial Intelligence, Natural Language Processing
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Berghoff, Robyn – Studies in Second Language Acquisition, 2023
This study replicates Felser and Roberts (2007), which used a cross-modal picture priming task to examine indirect-object dependency processing in classroom L2 learners. The replication focuses on early L2 learners with extensive naturalistic L2 exposure (n = 22)--an understudied group in the literature--and investigates whether these learners, in…
Descriptors: Language Processing, Questioning Techniques, Second Language Learning, Second Language Instruction
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Botelho, Anthony; Baral, Sami; Erickson, John A.; Benachamardi, Priyanka; Heffernan, Neil T. – Journal of Computer Assisted Learning, 2023
Background: Teachers often rely on the use of open-ended questions to assess students' conceptual understanding of assigned content. Particularly in the context of mathematics; teachers use these types of questions to gain insight into the processes and strategies adopted by students in solving mathematical problems beyond what is possible through…
Descriptors: Natural Language Processing, Artificial Intelligence, Computer Assisted Testing, Mathematics Tests
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Abecassis, Sharon; Magen, Hagit; Weintraub, Naomi – Learning Disabilities Research & Practice, 2023
Higher education students with specific learning disorders (SLD) often experience difficulties in basic learning skills, including typing on computers, which has become the most common writing mode for academic purposes. This may affect their academic performance. We compared the typing performance, product, and technique (screen gaze, finger use)…
Descriptors: Office Occupations, Performance, College Students, Learning Disabilities
Omar Carrasco – ProQuest LLC, 2023
When individuals read a narrative text, they construct a mental representation known as a situational model to comprehend the unfolding story. These models require updates at meaningful changes in the story to reflect current information accurately. Existing research highlights the attentional and working memory demands of these updating…
Descriptors: Schemata (Cognition), Story Reading, Attention, Short Term Memory
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