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Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
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Sang-Gu Kang – Journal of Pan-Pacific Association of Applied Linguistics, 2024
This paper reports on a young Korean boy's target-like and non-target-like uses of the Korean negation marker "ani" to express various types of negation in Korean, observed approximately between the ages of 2;2 and 2;5. Besides the target-like usage of "ani" as a sentential adverb for a 'no' response, he used "ani" in…
Descriptors: Korean, Morphemes, Toddlers, Language Acquisition
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Cychosz, Margaret; Mahr, Tristan; Munson, Benjamin; Newman, Rochelle; Edwards, Jan R. – Child Development, 2023
To learn language, children must map variable input to categories such as phones and words. How do children process variation and distinguish between variable pronunciations ("shoup" for "soup") versus new words? The unique sensory experience of children with cochlear implants, who learn speech through their device's degraded…
Descriptors: Preschool Children, Child Language, Pronunciation, Assistive Technology
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Sello Prince Sekwatlakwatla; Vusumuzi Malele – International Journal of Education and Development using Information and Communication Technology, 2023
The emerging generative artificial intelligence (AI) chatbots, such as Chat Generative Pre-Trained Transformer (ChatGPT), have recently taken different disciplines by surprise. Very few scholarly papers show the collaborative effort by researchers on the impact of generative AI in higher education (HE) and its implication on HE disciplines and…
Descriptors: Artificial Intelligence, Natural Language Processing, Higher Education, Technology Uses in Education
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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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Stephen J. Lupker; Giacomo Spinelli – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Rastle et al. (2004) reported that true (e.g., walker) and pseudo (e.g., corner) multi-morphemic words prime their stem words more than form controls do (e.g., brothel priming BROTH) in a masked priming lexical decision task. This data pattern has led a number of models to propose that both of the former word types are "decomposed" into…
Descriptors: Models, Morphemes, Priming, Vocabulary
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Moira Newton; Rebecca Jesson; Judy Parr – Australian Journal of Language and Literacy, 2023
Children's increasing expertise in composition relies partly on word choice. Little is known about how children consider words as they write, their meta-lexical awareness, or about their choice of words for writing. In this study, we investigate children's meta-lexical awareness, as one aspect of their metalinguistic awareness, which guides their…
Descriptors: Metalinguistics, Writing (Composition), Vocabulary Skills, Writing Achievement
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Tschisgale, Paul; Wulff, Peter; Kubsch, Marcus – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Qualitative Methods in PER: A Critical Examination.] Qualitative research methods have provided key insights in physics education research (PER) by drawing on non-numerical data such as text or video data. While different methods towards qualitative research exist, they share two essential steps:…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Grounded Theory
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Morid, Mahsa; Sabourin, Laura – Journal of Psycholinguistic Research, 2023
In this study, we asked how the emotional status, i.e., valence and arousal, and concreteness of idioms contribute to their processing. Additionally, we asked whether the contribution of emotional factors and concreteness is modulated by other linguistic constraints, specifically idiom familiarity and decomposability, that has been shown to impact…
Descriptors: Affective Behavior, Psychological Patterns, Language Patterns, Familiarity
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Elisabeth Bauer; Michael Sailer; Frank Niklas; Samuel Greiff; Sven Sarbu-Rothsching; Jan M. Zottmann; Jan Kiesewetter; Matthias Stadler; Martin R. Fischer; Tina Seidel; Detlef Urhahne; Maximilian Sailer; Frank Fischer – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence, particularly natural language processing (NLP), enables automating the formative assessment of written task solutions to provide adaptive feedback automatically. A laboratory study found that, compared with static feedback (an expert solution), adaptive feedback automated through artificial neural networks…
Descriptors: Artificial Intelligence, Feedback (Response), Computer Simulation, Natural Language Processing
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Dufour, Sophie; Grainger, Jonathan – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In this study we asked whether nonwords created by transposing two phonemes (/biks[open-mid back rounded vowel]t/) are perceived as being more similar to their base words (/bisk[open-mid back rounded vowel]t/) than nonwords created by substituting two phonemes (/bipf[open-mid back rounded vowel]t/). Using the short-term phonological priming and a…
Descriptors: Oral Language, Word Recognition, Phonemes, Vowels
Olney, Andrew M. – Grantee Submission, 2022
Multi-angle question answering models have recently been proposed that promise to perform related tasks like question generation. However, performance on related tasks has not been thoroughly studied. We investigate a leading model called Macaw on the task of multiple choice question generation and evaluate its performance on three angles that…
Descriptors: Test Construction, Multiple Choice Tests, Test Items, Models
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Arslan Selçuk, Semra; Mutlu Avinç, Günes – International Journal of Technology and Design Education, 2022
Biomimicry has been proposed as an important tool to reach key skills for the new century. It has taken its place as an essential resource for critical and creative thinking in design disciplines. However, as emphasized in many studies, bio-informed research requires interdisciplinary collaboration and systematic knowledge transfer. This article…
Descriptors: Natural Language Processing, Biology, Architectural Education, Building Design
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de Beer, Carola; Hofmann, Andrea; Regenbrecht, Frank; Huttenlauch, Clara; Wartenburger, Isabell; Obrig, Hellmuth; Hanne, Sandra – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Persons with unilateral brain damage in the right hemisphere (RH) or left hemisphere (LH) show limitations in processing linguistic prosody, with yet inconclusive results on their ability to process prosodically marked structural boundaries for syntactic ambiguity resolution. We aimed at systematically investigating production and…
Descriptors: Suprasegmentals, Brain, Neurological Impairments, Language Processing
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Jianing Zhou; Ziheng Zeng; Hongyu Gong; Suma Bhat – Grantee Submission, 2022
Idiomatic expressions (IEs) play an essential role in natural language. In this paper, we study the task of idiomatic sentence paraphrasing (ISP), which aims to paraphrase a sentence with an IE by replacing the IE with its literal paraphrase. The lack of large scale corpora with idiomatic-literal parallel sentences is a primary challenge for this…
Descriptors: Language Patterns, Sentences, Language Processing, Phrase Structure
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