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Xiaohong Liu; Baoxin Guo; Wei He; Xiaoyong Hu – Journal of Educational Computing Research, 2025
Generative artificial intelligence (GenAI) has significant potential for educational innovation, although its impact on students' learning outcomes remains controversial. This study aimed to examine the impact of GenAI on the learning outcomes of K-12 and higher education students, and explore the moderating factors influencing this impact. A…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Feiwen Xiao; Ellen Wenting Zou; Jiaju Lin; Zhaohui Li; Dandan Yang – British Journal of Educational Technology, 2025
Large language model (LLM)-based conversational agents (CAs), with their advanced generative capabilities and human-like conversational interfaces, can serve as reading partners for children during dialogic reading and have shown promise in enhancing children's comprehension and conversational skills. However, there is limited research on the…
Descriptors: Childrens Literature, Electronic Books, Artificial Intelligence, Natural Language Processing
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Tobias Wyrwich; Marcus Kubsch; Hendrik Drachsler; Knut Neumann – Physical Review Physics Education Research, 2025
Students struggle to acquire the needed energy understanding to meaningfully participate in the energy discourse about socially relevant topics, such as energy transformation or climate change. Identifying students on differing learning trajectories, as well as differences in knowledge used, is essential to help students achieve the needed energy…
Descriptors: Learning Processes, Physics, Energy, Science Instruction
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Pauline Frizelle; Ana Oliveira-Buckley; Tricia Biancone; Jorge Oliveira; Paul Fletcher; Dorothy V. M. Bishop; Cristina McKean – International Journal of Language & Communication Disorders, 2025
Introduction: The present study investigated English-speaking 5-9 year olds' (n = 600, normative sample) comprehension of relative, adverbial and complement clauses using the Test of Complex Syntax-Electronic (TECS-E), an online interactive assessment. with strong test-retest reliability, concurrent validity and internal consistency. Method: Using…
Descriptors: Syntax, Child Language, Young Children, Language Tests
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Jongwon Lee; Tereza Cimová; Ellen J. Foster; Derek France; Lenka Krajnáková; Lynn Moorman; Sonja Rewhorn; Jiaqi Zhang – International Research in Geographical and Environmental Education, 2025
Generative artificial intelligence (GenAI) represents a major leap forward in AI technology, offering the potential to reshape education in various aspects. This paper explores the transformative potential of GenAI in geography education, focusing on its impacts across curriculum, pedagogy, assessment, and fieldwork, through the lens of the…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Geography
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Philip Slobodsky; Mariana Durcheva – International Journal of Mathematical Education in Science and Technology, 2025
AI-based bots (ChatGPT) are capable of solving mathematics problems, and students often use them for homework preparation, self-learning, etc. This raises a number of didactical and technical questions: How can students submit assignments containing complex mathematical expressions using only a keyboard? How should mathematics errors in ChatGPT's…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
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Zijing Hu – Educational Process: International Journal, 2025
Background/purpose: The need for effective, accessible, and culturally sensitive training models has become increasingly important, particularly in cross-cultural and resource-limited contexts, such as Africa. Traditional Chinese Medicine has gained global recognition for its holistic and preventive approach to health. This study explores the…
Descriptors: Asian Culture, Medicine, Health Education, Artificial Intelligence
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Benjamin Brummernhenrich; Christian L. Paulus; Regina Jucks – British Journal of Educational Technology, 2025
Generative AI systems like chatbots are increasingly being introduced into learning, teaching and assessment scenarios at universities. While previous research suggests that users treat chatbots like humans, computer systems are still often perceived as less trustworthy, potentially impairing their usefulness in learning contexts. How are…
Descriptors: Higher Education, Artificial Intelligence, College Students, Feedback (Response)
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Ortín, Ramsés; Simonet, Miquel – Studies in Second Language Acquisition, 2022
One feature of Spanish that presents some difficulties to second language (L2) learners whose first language (L1) is English concerns lexical stress. This study explores one aspect of the obstacle these learners face, weak phonological processing routines concerning stress inherited from their native language. Participants were L1 English L2…
Descriptors: Spanish, Second Language Learning, Phonology, Suprasegmentals
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Bordag, Denisa; Opitz, Andreas – Studies in Second Language Acquisition, 2022
In two visual priming experiments, we investigated the relation of form-identical word forms with different grammatical functions in L1 and L2 German. Four different grammatical types (inflected verbs, infinitives, deverbal conversion forms, and countable nouns) were used as primes and their influence on the processing of form-identical inflected…
Descriptors: Language Processing, Second Language Instruction, Second Language Learning, Native Language
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Lin, Jiayin; Sun, Geng; Beydoun, Ghassan; Li, Li – Educational Technology & Society, 2022
A newly emerged micro learning service offers a flexible formal, informal, or non-formal online learning opportunity to worldwide users with different backgrounds in real-time. With the assist of big data technology and cloud computing service, online learners can access tremendous fine-grained learning resources through micro learning service.…
Descriptors: Translation, Natural Language Processing, Informal Education, Online Courses
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Dotan, Dror; Brutman, Nadin – Cognitive Research: Principles and Implications, 2022
Representing the base-10 structure of numbers is a challenging cognitive ability, unique to humans, but it is yet unknown how precisely this is done. Here, we examined whether and how literate adults represent a number's full syntactic structure. In 5 experiments, participants repeated number-word sequences and we systematically varied the order…
Descriptors: Syntax, Phrase Structure, Cognitive Ability, Numbers
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Hsu, Hao-Hsuan; Huang, Nen-Fu – IEEE Transactions on Learning Technologies, 2022
This article introduces Xiao-Shih, the first intelligent question answering bot on Chinese-based massive open online courses (MOOCs). Question answering is critical for solving individual problems. However, instructors on MOOCs must respond to many questions, and learners must wait a long time for answers. To address this issue, Xiao-Shih…
Descriptors: Foreign Countries, Artificial Intelligence, Online Courses, Natural Language Processing
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Wan, Yao; Dechsubha, Thawascha – Education Quarterly Reviews, 2022
The world is familiar with Chinese wine but neglects its attractive partner, Thumb Fight ([foreign characters omitted]). The Thumb Fight is a precious traditional Chinese drinking game. However, its rare research still focuses on its history, not the translation process during its dynamic playing logic. The semiotic is access to logic from…
Descriptors: Chinese, Semiotics, Translation, Language Processing
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Tamaoka, Katsuo; Ito, Takane; Mansbridge, Michael P. – Journal of Psycholinguistic Research, 2022
The present study investigated the canonical position of instrumental and locative adverbial phrases in both Japanese sentences and noun phrases to determine whether the canonical positions are parallel. A series of sentence/phrase decision tasks were used to compare sentences with different word-orders, including sentences with SA"dv"OV…
Descriptors: Sentence Structure, Phrase Structure, Japanese, Nouns
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