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Paul P. Martin; David Kranz; Peter Wulff; Nicole Graulich – Journal of Research in Science Teaching, 2024
Constructing arguments is essential in science subjects like chemistry. For example, students in organic chemistry should learn to argue about the plausibility of competing chemical reactions by including various sources of evidence and justifying the derived information with reasoning. While doing so, students face significant challenges in…
Descriptors: Science Education, Chemistry, Persuasive Discourse, Writing Evaluation
Karin Tengler; Gerhard Brandhofer – Discover Education, 2025
Generative Artificial Intelligence (GenAI) models have grown increasingly popular among pre-service teachers (PSTs) and have become their constant companions, primarily assisting them in scientific writing. This article presents a study that investigates the differences and benefits of GenAI in the scientific writing process. Essays generated by…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Writing (Composition)
Xuefan Li; Tingsong Li; Minjuan Wang; Sining Tao; Xiaoxu Zhou; Xiaoqing Wei; Naiqing Guan – IEEE Transactions on Learning Technologies, 2025
With the rapid advancement of generative artificial intelligence (GAI), its application in educational settings has increasingly become a focal point, particularly in enhancing students' analytical capabilities. This study examines the effectiveness of the ChatGPT prompt framework in improving text analysis skills among students, specifically…
Descriptors: Artificial Intelligence, Technology Uses in Education, High School Students, Foreign Countries
Natalie Bleijlevens; Tanya Behne – Developmental Psychology, 2024
Upon hearing a novel label, listeners tend to assume that it refers to a novel, rather than a familiar object. While this disambiguation or mutual exclusivity (ME) effect has been robustly shown across development, it is unclear what it involves. Do listeners use their pragmatic and lexical knowledge to exclude the familiar object and thus select…
Descriptors: Ambiguity (Semantics), Toddlers, Adults, Cognitive Mapping
Malovrh, Paul A.; Lee, James F. – Modern Language Journal, 2022
Research examining rule formation and second language (L2) explicit knowledge during guided inductive instruction has focused on co-constructed metalanguage or depth of processing (DoP) using think-aloud protocols, but without analyzing rule features. Studies have not focused on the architecture of the rules that L2 learners create individually.…
Descriptors: Second Language Learning, Second Language Instruction, Protocol Analysis, Metalinguistics
Shukla, Vishakha; Long, Madeleine; Bhatia, Vrinda; Rubio-Fernandez, Paula – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
While most research on scalar implicature has focused on the lexical scale "some" vs "all," here we investigated an understudied scale formed by two syntactic constructions: categorizations (e.g., "Wilma is a nurse") and comparisons ("Wilma is like a nurse"). An experimental study by Rubio-Fernandez et al.…
Descriptors: Cues, Pragmatics, Comparative Analysis, Syntax
Zhang, Ruofei; Zou, Di; Cheng, Gary – Innovation in Language Learning and Teaching, 2023
EFL learners generally have the problem of logical fallacies in EFL argumentative writings. Logical fallacies are errors in reasoning that can undermine EFL argumentative writing quality. Explicit training on logical fallacies may help learners deal with the problem and enhance their self-efficacy and proficiency in EFL argumentative writing,…
Descriptors: English (Second Language), Second Language Learning, Persuasive Discourse, Writing Instruction
Eli Bagno; Thierry Dana-Picard; Shulamit Reches – Open Education Studies, 2024
As soon as a new technology emerges, the education community explores its affordances and the possibilities to apply it in education. In this article, we analyze sessions with ChatGPT around topics in basic linear algebra. We reflect on the affordances and changes between two versions of ChatGPT since its worldwide publication in our area of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Algebra
Patac, Adriano Villarosa, Jr.; Patac, Louida Penera; Crispo, Nicolas Ensomo, Jr. – Journal of Research and Advances in Mathematics Education, 2022
Teaching axiomatic representation of mathematical objects in all grades can and should be done. The paper analyzes students' understanding and how they perceive theorems using problem posing. We looked at how English-language learners create questions about four geometric theorems from a 9th-grade math textbook. The analysis looks at the…
Descriptors: Foreign Countries, High School Students, Grade 9, Second Language Learning
Talan, Tarik; Kalinkara, Yusuf – International Society for Technology, Education, and Science, 2022
With the rapid development of science and technology in recent years, the application areas of fuzzy logic have also gained speed. Fuzzy logic is a frequently preferred approach in the educational process, and it can be said that scientific publications on this topic have recently gained momentum in the literature. In this context, the present…
Descriptors: Databases, Research Reports, Foreign Countries, Universities
Pearl, Lisa – Language Learning and Development, 2022
Poverty of the stimulus has been at the heart of ferocious and tear-filled debates at the nexus of psychology, linguistics, and philosophy for decades. This review is intended as a guide for readers without a formal linguistics or philosophy background, focusing on what poverty of the stimulus is and how it's been interpreted, which is…
Descriptors: Language Acquisition, Learning Processes, Syntax, Semantics
Khashabi, Daniel – ProQuest LLC, 2019
"Natural language understanding" (NLU) of text is a fundamental challenge in AI, and it has received significant attention throughout the history of NLP research. This primary goal has been studied under different tasks, such as Question Answering (QA) and Textual Entailment (TE). In this thesis, we investigate the NLU problem through…
Descriptors: Natural Language Processing, Artificial Intelligence, Task Analysis, Questioning Techniques
Perikos, Isidoros; Grivokostopoulou, Foteini; Hatzilygeroudis, Ioannis – International Journal of Artificial Intelligence in Education, 2017
Logic as a knowledge representation and reasoning language is a fundamental topic of an Artificial Intelligence (AI) course and includes a number of sub-topics. One of them, which brings difficulties to students to deal with, is converting natural language (NL) sentences into first-order logic (FOL) formulas. To assist students to overcome those…
Descriptors: Intelligent Tutoring Systems, Feedback (Response), Natural Language Processing, Logical Thinking
Huang, Haiquan; Crain, Stephen – Language Acquisition: A Journal of Developmental Linguistics, 2020
It has been proposed that children differ from adults in that children license a conjunctive inference to disjunctive sentences that lack any licensing expression. The proposal is that children infer "A and B" from sentences of the form "A or B." Although children's conjunctive interpretations of disjunction have been reported…
Descriptors: Child Language, Language Acquisition, Interference (Language), Form Classes (Languages)
Plym, Jade; Lahti-Nuuttila, Pekka; Smolander, Sini; Arkkila, Eva; Laasonen, Marja – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Developmental language disorder (DLD) is defined by persistent difficulties with language, but a growing body of evidence suggests that it is also associated with domain-general and nonverbal information-processing deficits. However, the interconnections between cognitive functions, both nonverbal and language related, are still unclear.…
Descriptors: Language Impairments, Developmental Disabilities, Cognitive Ability, Preschool Children
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