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Wang Zhou; YeaJin Kim – Education and Information Technologies, 2024
The application of artificial intelligence technologies, such as ChatGPT-4, offers a substantial chance to improve the learning process. The promising prospect of utilizing artificial intelligence and ChatGPT-4 to enhance educational interactions by offering tailored and engaging experiences is highly enticing. The promise of ChatGPT-4 resides in…
Descriptors: Music Education, Computer Software, Undergraduate Students, Foreign Countries
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Min Zou; Liang Huang – Education and Information Technologies, 2024
Despite the growing popularity of ChatGPT and chatbot-assisted writing, research on the use of ChatGPT in second language (L2) writing classrooms remains insufficient. Using reflection papers and focus group interviews, the qualitative study examined doctoral students' views on the impact of using ChatGPT on L2 writing and their expected…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Instruction
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Leonid Chernovaty – Advanced Education, 2024
This first attempt aims to determine the extent of students' covert use of machine translation (MT) in the online assessment of their sight translation, the strategies of such use, and its signs. The study is based on the analysis of target texts (TT) of specialised online sight translation from Ukrainian into English by 13 BA and 10 MA students.…
Descriptors: Computer Assisted Testing, Translation, Ukrainian, English (Second Language)
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Pauldy Cornelia Johanna Otermans; Stephanie Baines; Monica Pereira; Chelsea Livingstone; Dev Aditya – International Journal of Technology in Education, 2024
Revolutionary technological advancements have introduced the integration of Conversational AI into a multitude of different settings. This widespread implementation has raised questions about the impact of AI on learning, its benefits are and its potential costs. This study aims to explore the perspectives of parents, investigating their…
Descriptors: Artificial Intelligence, Parent Attitudes, Technology Uses in Education, Computer Mediated Communication
Mary-Grace M. Cianci – ProQuest LLC, 2024
The researcher investigated how university faculty in graduate education programs incorporated multiple intelligences (MI) theory into their teaching strategies and acknowledged the interconnectedness of andragogy and MI theory. The researcher addressed the significant shift in teaching paradigms from traditional methods to approaches that foster…
Descriptors: Educational Strategies, College Faculty, Teaching Experience, Multiple Intelligences
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Ika Qutsiati Utami; Wu-Yuin Hwang; Uun Hariyanti – Journal of Educational Computing Research, 2024
Recently, automatic question generation (AQG) has been researched extensively for educational purposes. Existing approaches generally lack relevant information on the authentic context and problem diversity with various difficulty levels, so we proposed a new AQG system for generating contextualized and personalized mathematic word problems (MWP)…
Descriptors: Foreign Countries, Elementary School Mathematics, Elementary School Students, Mathematics Instruction
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Micalle Carl; Eduard Rudyk; Yair Shapira; Heather Leavy Rusiewicz; Michal Icht – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Automatic speech analysis (ASA) and automatic speech recognition systems are increasingly being used in the treatment of speech sound disorders (SSDs). When utilized as a home practice tool or in the absence of the clinician, the ASA system has the potential to facilitate treatment gains. However, the feedback accuracy of such systems…
Descriptors: Elementary Secondary Education, Speech Impairments, Articulation Impairments, Phonemes
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Hanwei Wu; Yunsong Wang; Yongliang Wang – International Review of Research in Open and Distributed Learning, 2024
Artificial intelligence (AI) offers new possibilities for English as a foreign language (EFL) learners to enhance their learning outcomes, provided that they have access to AI applications. However, little is written about the factors that influence their intention to use AI in distributed EFL learning contexts. This mixed-methods study, based on…
Descriptors: College Students, Artificial Intelligence, English (Second Language), Second Language Learning
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Gautham Arun; Vivek Perumal; Francis Paul John Bato Urias; Yan En Ler; Bryan Wen Tao Tan; Ranganath Vallabhajosyula; Emmanuel Tan; Olivia Ng; Kian Bee Ng; Sreenivasulu Reddy Mogali – Anatomical Sciences Education, 2024
Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…
Descriptors: Artificial Intelligence, Teaching Methods, Computational Linguistics, Anatomy
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Giovanni Zimotti; Claire Frances; Luke Whitaker – Technology in Language Teaching & Learning, 2024
This study explores the perceptions of second language (L2) educators on the surge of Large Language Models (LLMs) like ChatGPT, and their potential impact on language education. We surveyed over 100 L2 instructors, asking questions about their ideas for AI-proofing assignments, their policies, and their perceptions of how this tool will impact…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Second Language Instruction
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Alexis Busso; Becky Sanchez – Technology in Language Teaching & Learning, 2024
English language education in Japan has long been criticized for its traditional methods emphasizing grammar and reading at the expense of communicative competence. This article explores the potential of Artificial Intelligence in Education (AIEd) to address this issue. A review of literature explored critical challenges faced by Japanese EFL…
Descriptors: Foreign Countries, Communicative Competence (Languages), Artificial Intelligence, Technology Uses in Education
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Smail Layes; Sana Tibi; Marjolaine Cohen; Linda Lombardino – Learning Disability Quarterly, 2024
This study examined the relationships between word reading and rapid automatized naming (RAN) for objects and letters in Arabic-speaking children with and without dyslexia to determine potential modulating effects of color on naming by comparing children's performance on color and black-white RAN plates. Participants were 114 Arabic-speaking third…
Descriptors: Naming, Reading Skills, Arabic, Grade 3
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Eran Hakim; Adam Lefstein; Hadar Netz – Dialogic Pedagogy, 2024
Scholars of Social and Emotional Learning (SEL) advocate discussion as a promising instructional method yet rarely specify how such discussions should be conducted. Facilitating classroom discussions is highly challenging, particularly about emotions. Furthermore, the SEL literature contains contradictory discursive imperatives; it typically…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Teachers, Language Teachers
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Hadi Rashed Al Ajmi – Journal of Education and e-Learning Research, 2024
The objective of this study is to investigate the principals' leadership skills in elementary schools to meet the national educational strategy outcomes based on the teachers' views. A quantitative- descriptive approach was applied. The questionnaire was used to collect data. The validity of the questionnaire was measured and the reliability…
Descriptors: Principals, Leadership Qualities, Elementary Schools, Teaching Experience
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Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
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