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Jiahang Li; Chili Li – Journal of Education and Learning, 2024
The realm of online international Chinese language teaching is undergoing significant transformations propelled by the internet and the pandemic. The digital teaching is the way forward for online international Chinese language teaching. There are significant differences between online international Chinese language teaching and traditional…
Descriptors: Chinese, Second Language Learning, Online Courses, Electronic Learning
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Yingzhao Chen – Studies in Second Language Acquisition, 2024
The congruency effect--that is, faster and more accurate processing of congruent multiword units, has been demonstrated in multiple studies. It is still unclear, however, what its underlying mechanism is, and how congruency may interact with other factors. Using an acceptability judgement task, this study examined the congruency effect in…
Descriptors: Phrase Structure, Second Language Learning, Second Language Instruction, Word Frequency
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Natalie Kramar; Yaroslava Bedrych; Zinaida Shelkovnikova – Advanced Education, 2024
Mastering academic writing skills in English is essential for future researchers. At present, AI language processing tools provide high-quality, accessible, and fast assistance for translation, editing, and stylistic enhancement of scientific texts. However, their use within English for Academic Purposes (EAP) courses generates mixed reactions…
Descriptors: Doctoral Students, Student Attitudes, Artificial Intelligence, Man Machine Systems
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Fatih Karatas; Erkan Yüce – International Review of Research in Open and Distributed Learning, 2024
The rapid advancement of artificial intelligence (AI) in education underscores transformative prospects for open and distributed learning, encompassing distance, hybrid, and blended learning environments. This qualitative study, grounded in narrative inquiry, investigates the experiences and perceptions of 141 preservice teachers engaged with AI,…
Descriptors: Artificial Intelligence, Futures (of Society), Preservice Teachers, Reflection
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Yuxin Hao; Chenxi Wu; Xun Duan – SAGE Open, 2024
This study examined how Chinese native speakers (NSs) and second language (L2) learners process compound words. The findings showed that they used the hybrid model of coexistence for whole word and morphemes; and were influenced by word frequency, semantic transparency, and word structure. The results revealed that two groups of participants used…
Descriptors: Mandarin Chinese, Native Speakers, Second Language Learning, Second Language Instruction
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Wagdi Rashad Ali Bin-Hady; Arif Ahmed Mohammed Hassan Al-Ahdal; Samia Khalifa Abdullah – Journal of Applied Research in Higher Education, 2024
Purpose: English as a foreign langauge (EFL) students find it difficult to apply the theoretical knowledge they acquire on translation in the practical world. Therefore, this study explored if training in pretranslation techniques (PTTs) (syntactic parsing) as suggested by Almanna (2018) could improve the translation proficiency of Yemeni EFL…
Descriptors: Teaching Methods, English (Second Language), Second Language Learning, Second Language Instruction
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Angela M. AuBuchon; Rebecca L. Wagner; Margaret Sackinsky – Developmental Psychology, 2024
Rehearsal is a form of self-talk used to support short-term memory. Historically, the study of rehearsal development has diverged from the study of self-talk more generally. The current experiment examines whether two characteristics of self-talk (impact of task difficulty and self-talk's narrative vs. planning purpose) are also observed in…
Descriptors: Inner Speech (Subvocal), Task Analysis, Difficulty Level, Word Lists
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Ekrem Solak – International Journal of Technology in Education, 2024
Artificial Intelligence (AI) has relatively become a part of our lives in many fields including education. As a recent AI tool generated by OpenAI, ChatGPT offers numerous opportunities and challenges for language learners and teachers. Therefore, the purpose of this study was to investigate the experiences of language learners and teachers in the…
Descriptors: Artificial Intelligence, Natural Language Processing, Second Language Learning, Language Teachers
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Kai Guo; Deliang Wang – Education and Information Technologies, 2024
ChatGPT, the newest pre-trained large language model, has recently attracted unprecedented worldwide attention. Its exceptional performance in understanding human language and completing a variety of tasks in a conversational way has led to heated discussions about its implications for and use in education. This exploratory study represents one of…
Descriptors: Feedback (Response), English (Second Language), Artificial Intelligence, Natural Language Processing
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Jae Q. J. Liu; Kelvin T. K. Hui; Fadi Al Zoubi; Zing Z. X. Zhou; Dino Samartzis; Curtis C. H. Yu; Jeremy R. Chang; Arnold Y. L. Wong – International Journal for Educational Integrity, 2024
The application of artificial intelligence (AI) in academic writing has raised concerns regarding accuracy, ethics, and scientific rigour. Some AI content detectors may not accurately identify AI-generated texts, especially those that have undergone paraphrasing. Therefore, there is a pressing need for efficacious approaches or guidelines to…
Descriptors: Artificial Intelligence, Investigations, Identification, Human Factors Engineering
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Philip Slobodsky; Mariana Durcheva; Leonid Kugel – International Journal for Technology in Mathematics Education, 2024
This paper highlights the new enhancements of the Halomda platform designed to improve students' learning and exam preparation. The new features include a Graph Plotter, Algebraic Calculator and Context ChatGPT Recommended Key Guidelines. The use of these features is demonstrated though a working example of solving a double integral, illustrating…
Descriptors: Test Preparation, Mathematics Tests, Student Improvement, Graphs
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Sanjay Krishnapratap Pawar; Swati Amit Vispute – Journal of Marketing for Higher Education, 2024
The proliferation and increasing significance of AI-enabled voice assistants (AIVAs) for consumer purchase decisions imply the need for a better understanding of their acceptance in the higher education (HE) enrollment context. Using the Grounded Theory (GT) research method and a consumer value perspective, we examine the enrolment decision-making…
Descriptors: Foreign Students, Artificial Intelligence, Technology Uses in Education, College Enrollment
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Jihyun Kim; Stephanie Kelly; Alex X. Colón; Patric R. Spence; Xialing Lin – Communication Education, 2024
Although artificial intelligence (AI) tools (e.g., ChatGPT) have potential to act as a transformative educational tool, the widespread adoption of such technology also brings forth concerns related to academic integrity and learning gaps. This study examines whether class discussions on the negative aspects of AI-driven writing assistance have any…
Descriptors: Technology Integration, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Anna Dillon; Geraldine Chell; Nusaibah Al Ameri; Nahla Alsayed; Yusra Salem; Moss Turner; Kay Gallagher – Journal of Educators Online, 2024
This paper shares the reflections of a small group of graduate students and faculty members in the United Arab Emirates (UAE) on the challenges and affordances of using large language model (LLM) tools to assist with academic writing in an English Medium Education (EME) context. The influence of interpretive grounded theory afforded the authors…
Descriptors: Academic Language, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Christine S. Schipke; Maja Stegenwallner-Schütz; Flavia Adani – Language Learning and Development, 2024
This study investigates the interpretation of object-initial sentences in German-speaking children. We addressed the following questions: (1) Which morphosyntactic cues do children deploy to process object-initial sentences? (2) Which executive function (EF) abilities support them during this task? This study examined the effect of case and number…
Descriptors: German, Reading Processes, Sentence Structure, Executive Function
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