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Showing 1 to 15 of 47 results Save | Export
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Victoria Abramenka-Lachheb; Ahmed Lachheb; Gamze Ozogul – British Journal of Educational Technology, 2025
Philosophical stances and design frameworks, such as value-sensitive design, manifest in design praxis through enacting specific design approaches and employing a variety of methods by the designers. Although it could overlap with other frameworks and approaches in the Instructional Design and Technology (IDT) field, value-sensitive design remains…
Descriptors: Instructional Design, Praxis, Values, Online Courses
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Dariusz Witko; Yair Levy; Catherine Neubauer; Gregory Simco; Laurie P. Dringus; Melissa Carlton – Journal of Cybersecurity Education, Research and Practice, 2025
The increasing volume of cyber threats, combined with a critical shortage of skilled professionals and rising burnout among practitioners, highlights the urgent need for innovative solutions in cybersecurity operations. Generative Artificial Intelligence (GenAI) offers promising potential to augment human analysts in cybersecurity, but its…
Descriptors: Computer Security, Competence, Artificial Intelligence, Expertise
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Abdulrahman M. Al-Zahrani – SAGE Open, 2025
This study examines the impact of Artificial Intelligence (AI) chatbots on the loss of human connection and emotional support among higher education students. To do so, a quantitative research design is employed. An online survey questionnaire is distributed to a sample of 819 higher education students, assessing concerns about human connection,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, College Students
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Yu Ji; Mingxuan Zhong; Siyan Lyu; Tingting Li; Shijing Niu; Zehui Zhan – Education and Information Technologies, 2025
The emergence of generative artificial intelligence (GAI) has significantly transformed learning patterns and innovative approaches. Human-machine (generative artificial intelligence) co-creation will become the norm, necessitating that learners possess the requisite AI literacy (AIL) to adapt to this shift. The mechanisms by which individual AIL…
Descriptors: Artificial Intelligence, Digital Literacy, Innovation, Psychological Needs
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Sarah Jerasa; Sarah K. Burriss – English Teaching: Practice and Critique, 2024
Purpose: Artificial intelligence (AI) has become increasingly important and influential in reading and writing. The influx of social media digital spaces, like TikTok, has also shifted the ways multimodal composition takes place alongside AI. This study aims to argue that within spaces like TikTok, human composers must attend to the ways they…
Descriptors: Artificial Intelligence, Social Media, Algorithms, Writing (Composition)
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Yung-Hsiang Hu – Education and Information Technologies, 2025
Flipped classroom pedagogy, primarily focused on in-person classroom settings, emphasizes pre-class independent learning where students engage asynchronously with online materials and self-assessments. However, traditional pre-class learning methods, such as watching pre-recorded instructional videos and completing multiple-choice…
Descriptors: Asynchronous Communication, Learning Processes, Flipped Classroom, Artificial Intelligence
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Anthony G. Picciano – Online Learning, 2024
Artificial intelligence (AI) has been evolving since the mid-twentieth-century when luminaries such as Alan Turing, Herbert Simon, and Marvin Minsky began developing rudimentary AI applications. For decades, AI programs remained pretty much in the realm of computer science and experimental game playing. This changed radically in the 2020s when…
Descriptors: Teacher Education, Seminars, Technology Uses in Education, Artificial Intelligence
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Peng Tan; Xiangshi Ren; Zixue Cheng; Yi Ji – Education and Information Technologies, 2024
In the Digital Heritage Education (DHE) classroom, students use digital tools to assist in understanding intangible cultural heritage (ICH), which comprises intricate knowledge. However, students may still encounter obstacles when trying to produce creative designs. To address this issue, we propose a framework that adopts a human-engaged…
Descriptors: Electronic Learning, Cultural Background, Heritage Education, Educational Technology
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Rob Hirschel; Kayoko Horai – Technology in Language Teaching & Learning, 2025
With the advent of generative AI that uses large language models such as ChatGPT, it is now relatively easy to provide automated written corrective feedback in a student's native language. This paper reports on an exploratory study using a ChatGPT-powered plugin recently developed for the Moodle learning management system. The classroom…
Descriptors: Artificial Intelligence, English (Second Language), Error Correction, Writing (Composition)
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Ibnatul Jalilah Yusof – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This paper examines the potential of ChatGPT-assisted retrieval practice to enhance students' final exam performance. ChatGPT was utilized to generate questions and deliver timely feedback during retrieval practice, supporting learning in large class settings where providing personalized feedback is often challenging. Background:…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Scores
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Ning Zou; Qing Gong; Xiaolin Li; Zihan Zhao; Chunlei Chai – Creativity Research Journal, 2024
This study investigates the design method of integrating design resources and design materials with an explanation of the foundations of cultural psychology. It focuses on the integration of design resources and design materials in product creative design. This article outlines the design process of integrating design resources and design…
Descriptors: Design, Cultural Influences, Psychological Characteristics, Creativity
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Marcel Mierwald – Journal of Educational Media, Memory and Society, 2024
Generative artificial intelligence (AI) offers new opportunities for history education, such as the ability to chat with historical figures. However, little is known about pupils' interaction with AI applications such as ChatGPT. A qualitative case study was conducted to explore how pupils (n = 21, year nine, fourteen years old) interacted with…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, History Instruction
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Yilong Su; Meina Luo; Chenyin Zhong – SAGE Open, 2025
Artificial intelligence-driven chatbots have sparked significant changes in English education, which is challenging for pre-service teachers. To date, it remains unclear what are pre-service English teachers' perceptions of and needs in integrating chatbots into English education. This study, therefore, explored Chinese pre-service English…
Descriptors: Preservice Teachers, Language Teachers, Student Attitudes, Preservice Teacher Education
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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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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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