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Showing 1 to 15 of 47 results Save | Export
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Mohammed Muneerali Thottoli; K. V. Thomas – Journal of Applied Research in Higher Education, 2024
Purpose: The primary objective of this study is to examine how students' technological factors affect remote access (RA) in smart learning (SL) environments. Additionally, the paper explores the moderating effect of students' technical skills (TS) on RA and SL. Design/methodology/approach: The study applied a quantitative research approach and…
Descriptors: Educational Technology, Technology Uses in Education, Computer Software, Technological Literacy
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Elizeth Mayrene Flores Hinostroza; Derling Jose Mendoza; Mercedes Navarro Cejas; Edinson Patricio Palacios Trujillo – International Electronic Journal of Mathematics Education, 2025
This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…
Descriptors: Science Instruction, Artificial Intelligence, Technology Integration, Technology Uses in Education
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Jundan Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study analyzed the impact of AI teaching on teaching quality, and revealed the mediating effect of student motivation and teacher expertise in the relationship of AI teaching and teaching quality. Based on the AI-TPACK theory, this study explored the impact of AI teaching on teaching quality and its mediating mechanism using questionnaires…
Descriptors: Educational Quality, Technological Literacy, Pedagogical Content Knowledge, Teacher Effectiveness
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Xiaochen Wang; Yang Gao; Qikai Wang; Panpan Zhang – European Journal of Education, 2025
The rise of artificial intelligence (AI) has significantly impacted education, yet few scholars have explored AI-assisted classrooms, particularly in language education in China. Understanding the roles of classroom climate, AI literacy, and resilience is essential, as these factors foster positive learning environments and enhance student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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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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Sri Sarwanti; Yanti Sariasih; Laily Rahmatika; M. Monjurul Islam; Eka Mustika Riantina – Online Learning, 2024
Despite the promising potential of artificial intelligence (AI) tools like ChatGPT for enhancing the learning experience, its integration as an educational tool in higher education poses disruptions that could affect students. This study explored university language students' usage, awareness, readiness, concerns, and perceived benefits and…
Descriptors: College Second Language Programs, Artificial Intelligence, Computer Software, Synchronous Communication
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Artur Strzelecki; Sara ElArabawy – British Journal of Educational Technology, 2024
This study delves into the implications of incorporating AI tools, specifically ChatGPT, in higher education contexts. With a primary focus on understanding the acceptance and utilization of ChatGPT among university students, the research utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) as the guiding framework. The…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Student Behavior
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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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David B. Nelson; Anaelle Emma Gackiere; Samantha Elizabeth LeGrand; Daniel A. Guberman – Thresholds in Education, 2025
In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…
Descriptors: Teaching Methods, Learning Processes, Algorithms, Artificial Intelligence
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Anisimova, Tatyana; Sabirova, Fairuza; Shatunova, Olga; Bochkareva, Tatyana; Vasilev, Vladimir – Education Sciences, 2022
The purpose of this study is to analyze the problems of quality training of personnel for the digital economy of Russia during the pandemic within the framework of STEAM education and to identify their solutions with the help of the most effective distance learning tools. The research is based on a survey of 138 respondents (students of the…
Descriptors: Foreign Countries, Art Education, STEM Education, Distance Education
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Fujiko Robledo Yamamoto; Lecia Barker; Amy Voida – ACM Transactions on Computing Education, 2024
Service learning, a high-impact pedagogy, involves integrating academic outcomes with service to the community. The success of service learning experiences depends on the development of mutually reciprocal relationships between students, instructors, and community partners, ensuring equitable benefits for all stakeholders. To explore how…
Descriptors: Service Learning, Computer Science Education, Information Science Education, Partnerships in Education
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John Mark R. Asio – Malaysian Online Journal of Educational Sciences, 2024
Understanding and securely using AI systems and tools requires AI literacy. In contrast, AI self-efficacy is a person's confidence in completing an AI task. Also, AI self-competence is the ability to explain how AI technologies are used at work and how they affect society. This study examines college students' AI literacy, self-efficacy, and…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Self Esteem
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Davis, Kimberly; Gurney, Laura – International Journal of Technology in Education and Science, 2021
This study examines a mixed methods experiment, evaluating the impact of 3D printing on Occupational Therapy student's self-reported technology efficacy levels, before and after an educational module focused on 3D printing technology. Utilizing free and online software and university owned 3D printers, students were challenged to create client…
Descriptors: Occupational Therapy, Allied Health Occupations Education, Technological Literacy, Printing
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Xiaoling Bai; Nur Rasyidah Mohd Nordin – Eurasian Journal of Applied Linguistics, 2025
A perfect writing skill has been deemed instrumental to achieving competence in EFL, yet it is considered one of the most impressive learning domains. This study investigates the impact of human-AI collaborative feedback on the writing proficiency of EFL students. It examines key teaching domains, including the teaching environment, teacher…
Descriptors: Artificial Intelligence, Feedback (Response), Evaluators, Writing Skills
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Niurka Guevara-Otero; Elena Cuevas-Molano; Esteban Vázquez-Cano; Eloy López-Meneses – Contemporary Educational Technology, 2023
The objective of this study was to identify university student profiles with different levels of predisposition and usage of digital competences in social communication and collaborative learning (CSCCL) as well as technology use in information search and treatment (CSTI). The sample comprised 383 students from three state universities in Spain.…
Descriptors: Foreign Countries, Digital Literacy, Student Characteristics, Universities
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