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Fabian Kieser; Peter Wulff; Jochen Kuhn; Stefan Küchemann – Physical Review Physics Education Research, 2023
Generative AI technologies such as large language models show novel potential to enhance educational research. For example, generative large language models were shown to be capable of solving quantitative reasoning tasks in physics and concept tests such as the Force Concept Inventory (FCI). Given the importance of such concept inventories for…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software
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Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…
Descriptors: English (Second Language), Speech Communication, English Language Learners, Anxiety
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Su Chai; Yuchen Cai; Chenxi Wei – SAGE Open, 2024
Local socioeconomic advancement has given rise to great growth in language service industry of Gansu China, creating the brisk demand for full-fledged translation and interpretation (T&I) talents. However, such progress is slowed by a lack of senior T&I talents and poor T&I training. The existing literature provides little information…
Descriptors: Translation, Professional Education, Masters Programs, Graduates
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Yiyun Fan; Sheng Tan; Grace Yuk Wan Lim – Australian Journal of Applied Linguistics, 2024
Academic writing is a substantial component of tertiary education, yet it poses challenges for second/foreign language students, particularly first-year undergraduates with limited pre-university exposure to English-medium instruction (EMI) settings. In this context, English for academic purposes (EAP) teachers play a crucial role in supporting…
Descriptors: English for Academic Purposes, Language Teachers, Feedback (Response), Artificial Intelligence
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Nelson, Brenna Scadden; Petersen, Douglas B.; Rai, Anuradha – Language and Education, 2022
Background: Children in India are among the lowest performing students on international reading comprehension and writing assessments. Oral language instruction may improve these literacy outcomes. Aim: This pilot study investigated whether a multi-tiered system of language support (MTSLS) improved oral narrative language comprehension, reading…
Descriptors: Foreign Countries, Oral Language, Language Processing, Reading Comprehension
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Clifton, Charles; Frazier, Lyn – Discourse Processes: A Multidisciplinary Journal, 2020
Domain restriction is a pervasive if often neglected part of discourse comprehension. Speakers and authors implicitly limit the domain of discourse of quantifiers (e.g., "everyone") and noun phrases (e.g., "the girls"). Our previous research shows that an initial temporal or locative prepositional phrase (PP), which introduces…
Descriptors: Language Usage, Nouns, Phrase Structure, Form Classes (Languages)
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Perkins, Laurel; Lidz, Jeffrey – Language Acquisition: A Journal of Developmental Linguistics, 2020
15-month-olds behave as if they comprehend filler-gap dependencies such as "wh"-questions and relative clauses. On one hypothesis, this success does not reflect adult-like representations but rather a "gap-driven" interpretation heuristic based on verb knowledge. Infants who know that "feed" is transitive may notice…
Descriptors: Task Analysis, Language Acquisition, Infants, Infant Behavior
Sonia, Allison N.; Joseph, Magliano P.; McCarthy, Kathryn S.; Creer, Sarah D.; McNamara, Danielle S.; Allen, Laura K. – Grantee Submission, 2022
The constructed responses individuals generate while reading can provide insights into their coherence-building processes. The current study examined how the cohesion of constructed responses relates to performance on an integrated writing task. Participants (N = 95) completed a multiple document reading task wherein they were prompted to think…
Descriptors: Natural Language Processing, Connected Discourse, Reading Processes, Writing Skills
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Sonia, Allison N.; Magliano, Joseph P.; McCarthy, Kathryn S.; Creer, Sarah D.; McNamara, Danielle S.; Allen, Laura, K. – Discourse Processes: A Multidisciplinary Journal, 2022
The constructed responses individuals generate while reading can provide insights into their coherence-building processes. The current study examined how the cohesion of constructed responses relates to performance on an integrated writing task. Participants (N = 95) completed a multiple document reading task wherein they were prompted to think…
Descriptors: Natural Language Processing, Connected Discourse, Reading Processes, Writing Skills
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Imdadullah Hidayat-ur-Rehman; Yasser Ibrahim – Interactive Technology and Smart Education, 2024
Purpose: A number of recent artificial intelligence (AI)-enabled technologies, including summarisers, paraphrasers and the cutting-edge chatbots not only have outstanding potentials in modern educational systems but also could lead to a dramatic paradigm shift in the whole education process. This study aims to explore the factors that shape the…
Descriptors: Influences, Technology Uses in Education, Artificial Intelligence, Natural Language Processing
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Mei-Rong Alice Chen – Educational Technology & Society, 2024
The increase in popularity of Generative Artificial Intelligence Chatbots, or GACs, has created a potentially fruitful opportunity to enhance teaching English as a Foreign Language (EFL). This study investigated the possibility of using GACs to give EFL students metalinguistic guidance (MG) in linguistics courses. Language competency gaps, a lack…
Descriptors: Metacognition, Transformative Learning, English (Second Language), Artificial Intelligence
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Crossley, Scott A.; Karumbaiah, Shamya; Ocumpaugh, Jaclyn; Labrum, Matthew J.; Baker, Ryan S. – Journal of Learning Analytics, 2020
This study builds on prior research by leveraging natural language processing (NLP), click-stream analyses, and survey data to predict students' mathematics success and math identity (namely, self-concept, interest, and value of mathematics). Specifically, we combine NLP tools designed to measure lexical sophistication, text cohesion, and…
Descriptors: Elementary School Mathematics, Blended Learning, Self Concept, Audience Response Systems
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Sánchez Ramos, María del Mar – Interpreter and Translator Trainer, 2022
The ever-increasing demand for immediate access to information means interpreters and translators are increasingly using, and relying on, digital technology in their work. In the migratory context, machine translation (MT) and post-editing (PE) have the potential to greatly increase the efficiency of public service interpreting and translation…
Descriptors: Public Service, Translation, Computational Linguistics, Graduate Students
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Ros-Abaurrea, Alejandro – Hispania, 2023
The present article aims to spur interest in the pedagogical potential of translating musicalized texts, a genre that for a long time has remained on the periphery of Applied Translation Studies. First, it provides a broad overview of the various theoretical perspectives that the academic community has had throughout history on the translation of…
Descriptors: Teaching Methods, Music, Language Processing, Second Language Learning
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Ren, Jiaxin; Luo, Chuanwei; Yang, Yixin; Ji, Min – Journal of Psycholinguistic Research, 2023
This study used an eye-tracking method to examine whether Chinese translation equivalents activated by English prime words can continue to activate their Chinese homophones. With 30 English prime words, and 60 Chinese target words as materials, the experiment used a Tobii eye-tracking device to collect data from 30 university students while…
Descriptors: Translation, Native Language, Second Language Learning, Word Frequency
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