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Thi Thuy An Ngo; Gia Khuong An; Phuong Thy Nguyen; Thanh Tu Tran – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The main goal of this study is to investigate the factors affecting students' satisfaction and continuous usage of ChatGPT in an educational context, using the Expectation-Confirmation Model (ECM) as the theoretical framework. Specifically, this investigation focuses on identifying how user expectations, perceived usefulness, and…
Descriptors: Student Satisfaction, Learner Engagement, Sustainability, Artificial Intelligence
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Ugur Sener; Salvatore Joseph Terregrossa – SAGE Open, 2024
The aim of the study is the development of methodology for accurate estimation of electric vehicle demand; which is paramount regarding various aspects of the firms decision-making such as optimal price, production level, and corresponding amounts of capital and labor; as well as supply chain, inventory control, capital financing, and operational…
Descriptors: Motor Vehicles, Artificial Intelligence, Prediction, Regression (Statistics)
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Anya S. Evmenova; Jered Borup; Joan Kang Shin – TechTrends: Linking Research and Practice to Improve Learning, 2024
While generative AI such as ChatGPT has important drawbacks, it can potentially unlock new types of learning and support -- specially for English learners and students with disabilities -- by facilitating teachers' Universal Design for Learning (UDL) efforts. As generative AI is quickly becoming an integral part of our lives (e.g., being…
Descriptors: Artificial Intelligence, Teaching Methods, Instructional Design, Information Technology
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Roland Kiraly; Sandor Kiraly; Martin Palotai – Education and Information Technologies, 2024
Deep learning is a very popular topic in computer sciences courses despite the fact that it is often challenging for beginners to take their first step due to the complexity of understanding and applying Artificial Neural Networks (ANN). Thus, the need to both understand and use neural networks is appearing at an ever-increasing rate across all…
Descriptors: Artificial Intelligence, Computer Science Education, Problem Solving, College Faculty
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Bonnie K. Slavych; Samuel R. Atcherson; Richard Zraick – Perspectives of the ASHA Special Interest Groups, 2024
Purpose: This article explores the potential of using ChatGPT, an artificial intelligence--powered chatbot, as a tool to teach plain language writing to students in communication sciences and disorders (CSD). It addresses the importance of plain language writing in health care communication and identifies the challenges faced by graduate students…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Written Language
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Samantha R. Goldman; Adam Carreon; Sean J. Smith; Kathleen N. Zimmerman – Journal of Special Education Technology, 2024
The purpose of this descriptive review of nine research studies was to explore the types of educational technologies used with SWDs to support written expression (WE), the implementation of the educational technology for WE, and the methods and domains WE outcomes are measured. This review focused on: (1) the technologies utilized in combination…
Descriptors: Educational Technology, Technology Uses in Education, Students with Disabilities, Writing (Composition)
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Ana Mouta; Eva María Torrecilla-Sánchez; Ana María Pinto-Llorente – Education and Information Technologies, 2024
In the 1970s, research on artificial intelligence in education emerged with the aim of acknowledging and accommodating the psychological aspects of the learning process. Since then, its applications have evolved and it is now used for student learning and assessment, teachers' pedagogical practice, management of educational institutions, and…
Descriptors: Ethics, Artificial Intelligence, Delphi Technique, Computer Software
Maxine Meyerhofer – ProQuest LLC, 2024
The problem to be addressed in this study was that limited social-emotional curriculum and training within preservice education programs may contribute to teachers' increased job stress and low retention rates. The purpose of this qualitative generic study was to explore how novice educators describe whether their preservice curriculum and…
Descriptors: Preservice Teacher Education, Teacher Education Programs, Teacher Persistence, Beginning Teachers
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Pooja Darda; Om Jee Gupta; Susheel Yadav – International Journal of Educational Management, 2024
Purpose: Alexa's integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa's on students' English vocabulary, comprehension and public speaking are examined. This…
Descriptors: Foreign Countries, Rural Schools, Elementary School Students, English (Second Language)
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Laure Tremonte-Freydefont; Matilde Wenger; Marina Fiori – International Journal for Research in Vocational Education and Training, 2024
Context: Research on emotional intelligence (EI) shows this concept's decades-long positive influence on well-being, self-efficacy, employability, and academic and professional achievement. Indeed, several studies have demonstrated that students with high EI have better grades and quality of life, as well as are more employable than students with…
Descriptors: Emotional Intelligence, Vocational Education, Allied Health Personnel, Caregivers
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Donald M. Johnson; Will Doss; Christopher M. Estepp – Journal of Research in Technical Careers, 2024
A posttest-only control group experimental design compared novice Arduino programmers who developed their own programs (self-programming group, n = 17) with novice Arduino programmers who used ChatGPT 3.5 to write their programs (ChatGPT-programming group, n = 16) on the dependent variables of programming scores, interest in Arduino programming,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Novices
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Muhamad Taufik Hidayat – Journal of Learning for Development, 2024
The ability to comprehend reading material is a crucial skill for academic and professional success, yet many students struggle with it, negatively impacting their academic performance. This study aimed to assess the effectiveness of AI-based personalised reading platforms in improving reading comprehension among senior high school students. The…
Descriptors: Artificial Intelligence, Reading Comprehension, Academic Achievement, High School Students
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Annette Markham; Riccardo Pronzato – Information and Learning Sciences, 2024
Purpose: This paper aims to explore how critical digital and data literacies are facilitated by testing different methods in the classroom, with the ambition to find a pedagogical framework for prompting sustained critical literacies. Design/methodology/approach: This contribution draws on a 10-year set of critical pedagogy experiments conducted…
Descriptors: Critical Theory, Information Literacy, Digital Literacy, Critical Literacy
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Jayaron Jose; Blessy Jayaron Jose – Electronic Journal of e-Learning, 2024
The study on "Educators' Academic Insights on Artificial Intelligence -- Challenges and Opportunities" was conducted to gain a deeper understanding of the rapidly evolving phenomenon of AI in education. This research serves multiple objectives. Firstly, it aims to foster awareness regarding the integration of AI into teaching and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Definitions
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Márta Lesznyák; Mária Bakti; Eszter Sermann – Interpreter and Translator Trainer, 2024
In this paper the role of language competence and thematic competence in translation and post-editing was studied. The sample included 49 translation students who translated part of a copyright agreement from English into Hungarian under two different conditions, from-scratch human translation and post-editing. Our findings indicated that there…
Descriptors: Foreign Countries, Translation, Bilingualism, Computational Linguistics
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