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Yanxia Yang – Education and Information Technologies, 2024
The use of machine translation has become a topic of debate in language learning, which highlights the need to thoroughly examine the appropriateness and role of machine translation in educational settings. Under the theoretical framework of task-technology fit, this explanatory case study set out to investigate the predictive role of machine…
Descriptors: Translation, Computational Linguistics, Learning Processes, English (Second Language)
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Fahad Saleem Al-Hafdi; Sameer Mosa AlNajdi – Education and Information Technologies, 2024
During the last few years, the popularity of chatbots has risen and grown exponentially with the increase in demand for smartphones and messaging applications. Chatbots can be utilized in education by providing information about educational content, communication, and assistance, enhancing classroom participation, and facilitating collaborative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Instructional Effectiveness, Learning Processes
Rachel Zahn – ProQuest LLC, 2024
Evidence from neuropsychological studies of individuals with brain damage post-stroke has supported the separation of working memory (WM) capacities for semantic (word meaning) and phonological (speech sound) information. These separate capacities have been shown to play different roles in supporting multiword language production, with semantic WM…
Descriptors: Language Processing, Young Adults, Older Adults, Neuropsychology
Irene Picton; Christina Clark – National Literacy Trust, 2024
Recent developments in technology have accelerated the influence of artificial intelligence (AI) on our lives. The National Literacy Trust is interested in exploring how such platforms might influence, and potentially redefine, what it means to be literate in the digital age. Based on data from more than 50,000 children and young people taking…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Wei Wei; Junyi Dai; Chuansheng Chen; Yingge Huang; Xinlin Zhou – Journal of Cognition and Development, 2024
Urban and rural children have different levels of performance in arithmetic processing. This study investigated whether such a residence difference can be explained by phonological processing. A total of 1,501 Chinese primary school students from urban and rural areas were recruited to complete nine cognitive tasks: two in arithmetic performance…
Descriptors: Rural Urban Differences, Arithmetic, Phonology, Language Processing
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Rosemary Erlam; Lan Wei – Language Teaching Research, 2024
This study is a conceptual replication of Ellis' 'Measuring implicit and explicit knowledge of a second language: A psychometric study', published in "Studies in Second Language Acquisition" (2005), aiming to establish the importance of including belief statements (hypothesized to increase processing demands) in the design of Elicited…
Descriptors: Language Processing, Language Tests, Second Language Learning, Psychometrics
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Victoria Olubola Adeyele; Umesh Ramnarain – International Journal of Technology in Education, 2024
ChatGPT, an AI-powered service known for its effective delivery of information and solutions, has the potential to transform education, scientific problem-solving, and student learning. However, to fully harness its advantages, understanding the pedagogical approach needed is essential. This study explores teachers' awareness of ChatGPT and the…
Descriptors: Technology Integration, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Areej ElSayary – Journal of Computer Assisted Learning, 2024
Background: The widespread use of information and communication technology (ICT) has led to significant changes in societal aspects, resulting in the emergence of a "knowledge society." However, students and teachers have faced challenges in adapting to this digitalization. In the United Arab Emirates (UAE), transitioning to a…
Descriptors: Teacher Attitudes, Artificial Intelligence, Information Technology, Barriers
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Ghadeer Sawalha; Imran Taj; Abdulhadi Shoufan – Cogent Education, 2024
Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…
Descriptors: Cues, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Surya Bahadur G. C.; Pooja Bhandari; Santosh Kumar Gurung; Ekta Srivastava; Deepak Ojha; Bharat Ram Dhungana – Cogent Education, 2024
This study examined factors influencing students' intention to use ChatGPT using UTAUT2 model. The cross-sectional study is based on responses collected from 578 students selected through convenience sampling at a university in Nepal through a structured questionnaire. Using PLS-SEM, the study found that habit ([beta] = 0.315, p < 0.001),…
Descriptors: Social Influences, Value Judgment, Habit Formation, Intention
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Antje Stoehr; Mina Jevtovic; Angela de Bruin; Clara D. Martin – Language Learning, 2024
A central question in multilingualism research is how multiple languages interact. Most studies have focused on first (L1) and second language (L2) effects on a third language (L3), but a small number of studies dedicated to the opposite transfer direction have suggested stronger L3 influence on L2 than on L1 in postpuberty learners. In our study,…
Descriptors: Phonetics, Vocabulary Skills, Transfer of Training, Spanish
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Colin Green; Eric Brewe; Jillian Mellen; Adrienne Traxler; Sarah Scanlin – Physical Review Physics Education Research, 2024
This project aims to understand physics faculty responses to transitioning to online teaching during the COVID-19 pandemic. We surveyed 662 physics faculty from the United States following the Spring 2020 term; of these, 258 completed a follow-up survey after the Fall 2020 term. We used natural language processing to measure the sentiment scores…
Descriptors: Teacher Attitudes, Online Courses, Physics, Science Instruction
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Imre Bende – Acta Didactica Napocensia, 2024
The continuous development of artificial intelligence-based tools makes their emergence inevitable in education as well as other fields of life. This article presents findings of a mixed method study aimed at investigating the current perceptions and potential applications of AI in Hungarian educational settings. Through interviews with high…
Descriptors: Readiness, Artificial Intelligence, Technology Uses in Education, Foreign Countries
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Xiaojing Weng; Qi Xia; Mingyue Gu; Kumaran Rajaram; Thomas K. F. Chiu – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence (GenAI) impacts higher education assessment and learning outcomes, which are closely related and intertwined. Literature suggests that educators and researchers have many varied concerns regarding student assessment in the higher education GenAI context, such as how to assess students' learning and the new…
Descriptors: Evaluation Methods, Outcomes of Education, Artificial Intelligence, Natural Language Processing
Christopher Nicklin – ProQuest LLC, 2024
Since corpus linguistics gained popularity as a methodology in the latter half of the 20th century, second language acquisition research has seen the emergence of work investigating formulaic language, such as idioms, lexical bundles, and collocations. A collocation is a string of words that co-occur more routinely than probability would predict,…
Descriptors: Computational Linguistics, Phrase Structure, Language Processing, Native Language
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