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Showing 1 to 15 of 29 results Save | Export
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Woongbin Park; Hyuksoo Kwon – International Journal of Technology and Design Education, 2024
The purpose of this study is multifold: First, to develop an educational program using artificial intelligence (AI) in middle school free semester system of South Korea. Second, to verify the program's effectiveness, the study clarified the definition of AI and AI education and considered their meaning in technology education. This study used…
Descriptors: Foreign Countries, Middle Schools, Artificial Intelligence, Program Effectiveness
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Surip Haryani; Maulida Rahmawati Emha – English Language Teaching Educational Journal, 2025
This research formulates and tests an AI-integrated e-book to increase English for Specific Purposes (ESP) learning by health science students in order to enhance speaking performance. Conventional ESP materials in health sciences are typically static and non-interactive, limiting opportunities for real-time communicative practice. Using a…
Descriptors: English for Special Purposes, Artificial Intelligence, Second Language Learning, Health Sciences
Maria Jose Anderson-Coto – ProQuest LLC, 2024
This dissertation explores the development and implementation of a community-based educational program, iDREAM, aimed at teaching minoritized youth about Artificial Intelligence (AI) with an emphasis on ethics and social justice. Partnering with two NGOs, this study integrates Culturally Sustaining Pedagogy (CSP) and Critical Computational…
Descriptors: Artificial Intelligence, Minority Group Students, Culturally Relevant Education, Community Education
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Wonjin Yu; Wanju Huang – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study introduces a case of developing and piloting a tailored education program on AI education for beginner-level learners using machine learning platforms such as Google Teachable Machine and Scratch. The program was piloted with 27 elementary school students. Learning effects and satisfaction were examined during the pilot phase. The…
Descriptors: Artificial Intelligence, Program Development, Educational Technology, Learning Management Systems
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Jasin, Jamil; Ng, He Tong; Atmosukarto, Indriyati; Iyer, Prasad; Osman, Faiezin; Wong, Peng Yu Kelly; Pua, Ching Yee; Cheow, Wean Sin – Education and Information Technologies, 2023
Low student engagement and motivation in online classes are well-known issues many universities face, especially with distance education during the COVID-19 pandemic. The online environment makes it even harder for teachers to connect with their students through traditional verbal and nonverbal behaviours, further decreasing engagement. Yet,…
Descriptors: Artificial Intelligence, Synchronous Communication, Electronic Learning, Chemistry
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Kaitlyn Storm; Jerry Zhang; Eileen Haase – Biomedical Engineering Education, 2022
Our first year biomedical engineering course exposes students to multiple engineering and design techniques within an overarching theme of understanding health inequity. Currently, the semester-long curriculum excludes computational methods such as Python programming and Machine Learning, which are usually not introduced until more advanced BME…
Descriptors: Artificial Intelligence, Programming Languages, Learning Modules, Introductory Courses
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Jiyeon Park; Sam Choo – Journal of Special Education Technology, 2025
Generative AI, such as ChatGPT, produces personalized and contextually relevant content based on user prompts (inputs provided by users). These prompts act as the primary form of interaction between users and AI models, making their quality essential for generating the most relevant outputs. The process of writing, refining, and optimizing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prompting, Relevance (Education)
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Steffen Steinert; Karina E. Avila; Stefan Ruzika; Jochen Kuhn; Stefan Küchemann – Smart Learning Environments, 2024
Effectively supporting students in mastering all facets of self-regulated learning is a central aim of teachers and educational researchers. Prior research could demonstrate that formative feedback is an effective way to support students during self-regulated learning. In this light, we propose the application of Large Language Models (LLMs) to…
Descriptors: Formative Evaluation, Feedback (Response), Natural Language Processing, Artificial Intelligence
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Venkatasubramanian, Venkat – Chemical Engineering Education, 2022
The motivation, philosophy, and organization of a course on artificial intelligence in chemical engineering is presented. The purpose is to teach undergraduate and graduate students how to build AI-based models that incorporate a first principles-based understanding of our products, processes, and systems. This is achieved by combining…
Descriptors: Artificial Intelligence, Chemical Engineering, College Students, Teaching Methods
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Manetti, Alessandro; Lara-Navarra, Pablo; Sánchez-Navarro, Jordi – Comunicar: Media Education Research Journal, 2022
This paper brings together studies on the future and design methodologies to develop a novel proposal for prospective analysis in the field of education. We apply mixed research methods in combination with design methodologies to open up new routes for studying the evolution, impact and behaviour of trends in future scenarios. Our research is…
Descriptors: Futures (of Society), Trend Analysis, Specialists, Validity
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Kathryn Conrad; Sean Kamperman – Thresholds in Education, 2025
The rise of generative AI has been insufficiently met with opportunities for either educators or students to understand and evaluate GenAI systems. We believe our responsibility as educators includes critically examining these technologies as well as the rhetoric and assumptions that surround them. Our approach has been to provide, and champion,…
Descriptors: Critical Literacy, Artificial Intelligence, Technology Uses in Education, Faculty Development
Audrey Ellis; Tracie Yorke; Charles Ansell – Complete College America, 2025
As artificial intelligence reshapes many aspects of society and workforce, many colleges and universities have focused on developing technical AI programs within computer science departments. But preparing students and faculty for an AI-enabled future requires more than technical training--it demands a broader approach to AI literacy and…
Descriptors: Artificial Intelligence, Higher Education, Computer Software, Technology Integration
Konstantinos Pouliakas – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Calderon-Meza, Guillermo – ProQuest LLC, 2011
The National Airspace System (NAS) is a resource managed in the public good. Equity in NAS access, and use for private, commercial and government purposes is coordinated by regulations and made possible by procedures, and technology. Researchers have documented scenarios in which the introduction of new concepts-of-operations and technologies has…
Descriptors: Foreign Countries, Artificial Intelligence, Simulation, Feasibility Studies
Knobel, Cory Philip – ProQuest LLC, 2010
Living inside built environments--infrastructure--it is easy to take for granted the things that we do not need to engage, but are at work behind the scenes nonetheless. Well-designed systems become invisible, but to engage them, how do we know which perspectives, objects, and relationships are useful? I examine the University of Michigan Digital…
Descriptors: Electronic Libraries, Organizational Change, Library Science, Library Services
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