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Showing 1 to 15 of 18 results Save | Export
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Tanja C. Roembke; Bob McMurray – Cognitive Science, 2025
Computational and animal models suggest that the unlearning or pruning of incorrect meanings matters for word learning. However, it is currently unclear how such pruning occurs during word learning and to what extent it depends on supervised and unsupervised learning. In two experiments (N[subscript 1] = 40; N[subscript 2] = 42), adult…
Descriptors: Vocabulary Development, Computation, Models, Accuracy
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Peter Baldwin; Victoria Yaneva; Kai North; Le An Ha; Yiyun Zhou; Alex J. Mechaber; Brian E. Clauser – Journal of Educational Measurement, 2025
Recent developments in the use of large-language models have led to substantial improvements in the accuracy of content-based automated scoring of free-text responses. The reported accuracy levels suggest that automated systems could have widespread applicability in assessment. However, before they are used in operational testing, other aspects of…
Descriptors: Artificial Intelligence, Scoring, Computational Linguistics, Accuracy
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Chi Hong Leung; Winslet Ting Yan Chan – Asian Journal of Contemporary Education, 2025
This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Error Patterns
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Crystal Uminski; Dina L. Newman; L. Kate Wright – CBE - Life Sciences Education, 2025
Molecular biology can be challenging for undergraduate students because it requires visual literacy skills to interpret abstract representations of submicroscopic concepts, structures, and processes. The Conceptual-Reasoning-Mode framework suggests that visual literacy relies on applying conceptual knowledge to appropriately reason with the…
Descriptors: Visual Literacy, Student Attitudes, Molecular Biology, Genetics
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Michelle Cheong – Journal of Computer Assisted Learning, 2025
Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more 'Generative-AI-resistant' and to focus on assessing students on higher order…
Descriptors: Artificial Intelligence, Performance Based Assessment, Spreadsheets, Models
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Jiuzhou Hao; Vasiliki Chondrogianni; Patrick Sturt – Journal of Child Language, 2025
The present study investigated whether children's difficulty with non-canonical structures is due to their non-adult-like use of linguistic cues or their inability to revise misinterpretations using late-arriving cues. We adopted a priming production task and a self-paced listening task with picture verification, and included three Mandarin…
Descriptors: Child Language, Sentences, Sentence Structure, Mandarin Chinese
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Chunsong Jiang; Xuan Chen; Aiping Yu; Guiqin Liang – Education and Information Technologies, 2025
Assignments and tests are the main forms of evaluation in the educational process, students usually lose interest in boring exercises during course learning. In spired of elements from human-computer battle game, a course test system is designed to encourage students to take tests more frequently and actively to achieve better learning effect,…
Descriptors: Computer Games, Educational Games, Game Based Learning, Competition
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Sirinda Palahan – IEEE Transactions on Learning Technologies, 2025
The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…
Descriptors: Programming, Computer Science Education, Artificial Intelligence, Computer Mediated Communication
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Ali Sartaz Khan; Tolulope Ogunremi; Ahmed Attia; Dorottya Demszky – International Educational Data Mining Society, 2025
Speaker diarization, the process of identifying "who spoke when" in audio recordings, is essential for understanding classroom dynamics. However, classroom settings present distinct challenges, including poor recording quality, high levels of background noise, overlapping speech, and the difficulty of accurately capturing children's…
Descriptors: Audio Equipment, Acoustics, Classroom Environment, Models
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Zoltán Paulovics; Csaba Csapodi – International Electronic Journal of Mathematics Education, 2025
High school teachers often encounter incorrect solutions from students, especially when teaching combinatorics. This study investigates the ability of prospective mathematics teachers to assess the correctness of solutions to combinatorial problems and to falsify incorrect ones. 39 second-year prospective teachers participated in the experiment,…
Descriptors: Mathematics Education, High School Teachers, Mathematics Teachers, Mathematics Instruction
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Iria Estévez-Ayres; Patricia Callejo; Miguel Ángel Hombrados-Herrera; Carlos Alario-Hoyos; Carlos Delgado Kloos – International Journal of Artificial Intelligence in Education, 2025
The emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Technology Uses in Education
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Marie Mangold – Foreign Language Annals, 2025
One of the critiques of proficiency as defined by scales, such as that of ACTFL, is its lack of grounding in linguistic realities. Measures of complexity, accuracy, and fluency provide a route in which proficiency can be quantitatively measured by identifying linguistic correlates (see Brown et al., 2017; Long et al., 2012). This project aimed to…
Descriptors: Spanish, Second Language Instruction, Second Language Learning, Language Proficiency
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Yoshimasa Ogawa – Journal of Response to Writing, 2025
This study explored a way to help Japanese university students write longer essays while maintaining grammatical accuracy. Participants were three groups of students enrolled in a one-year EFL course in different academic years (N = 111), and the number of words they wrote in 30 minutes and the number of errors made per 100 words were compared. To…
Descriptors: English (Second Language), Second Language Learning, Accuracy, Writing Evaluation
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Misun Seo; Jayeon Lim – Journal of Pan-Pacific Association of Applied Linguistics, 2025
This study examines Korean L2 learners' production of English phonological contrasts (e.g., consonant-final versus vowel-final forms) that are absent in their L1. Twenty university students divided into high- and low-proficiency groups participated in the study. Their productions were analyzed for segmental accuracy and error patterns. Results…
Descriptors: Individual Differences, Phonemes, English (Second Language), Second Language Learning
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Zahra Zargaran – Australian Journal of Applied Linguistics, 2025
Providing feedback on EFL Learners' speaking errors has been extensively researched, with numerous studies highlighting its benefits (Van Ha, et al., 2021; Hartono, 2022). This study investigates the impact of "pending feedback", a type of feedback where students must independently discover the correct answer. This research emphasizes…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Accuracy
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