Academic literature on the topic 'AI-enhanced instructional design'

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Journal articles on the topic "AI-enhanced instructional design"

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Winder, Georg, Steve Bass, Dustin Schiele, and Josef Buchner. "Using Large Language Models for Content Creation Impacts Online Learning Evaluation Outcomes." International Journal on E-Learning 24, no. 3 (2024): 305–18. https://doi.org/10.70725/423664moqcrd.

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The rising demand for high-quality, timely content for online and blended learning environments presents significant challenges for instructional designers, particularly in managing resource-intensive tasks such as video production and image sourcing. This study investigates the impact of using artificial intelligence (AI), specifically large language models (LLMs), on key evaluation criteria for self-organized, online, and blended learning modules. Using the case of "aprendo.ch," a professional development platform that has recently implemented AI-enhanced workflows, we analyze how AI-enhance
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Park, Hyunjin, and Sangbong Nam. "Development of an AI-Based Music Education Program for Elementary School Teachers using the ADDIE Model." Korean Society of Music Education Technology 63 (April 30, 2025): 1–31. https://doi.org/10.30832/jmes.2025.63.1.

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This study aims to develop and implement an AI-integrated music education program for elementary school teachers using the ADDIE instructional design model and to explore areas for improvement. As artificial intelligence increasingly influences the educational environment, there is an increasing demand for AI-enhanced approaches in music instruction. In response, a 12-session teacher education program was developed to enhance teachers' competencies in designing AI-based lessons. The curriculum covers music theory, the educational application of AI tools, music ethics and copyright, AI-based si
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Tai Nguyen, Phuoc, and Van Thuy Dinh. "Design and practice of human-machine cooperative international Chinese character teaching in ChatGPT application." Journal of Infrastructure, Policy and Development 8, no. 9 (2024): 6269. http://dx.doi.org/10.24294/jipd.v8i9.6269.

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The incorporation of artificial intelligence (AI) into language education has created new opportunities for improving the instruction and acquisition of Chinese characters. Nevertheless, the cognitive difficulties linked to the acquisition of Chinese characters, such as their intricate visual features and lack of clear meaning, necessitate thoughtful deliberation when developing AI-supported learning interventions. The objective of this project is to explore the capacity of a collaborative method between humans and machines in teaching Chinese characters, utilising the advantages of both human
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Hong, Hui, Poonsri Vate-U-Lan, and Chantana Viriyavejakul. "Generative AI–mediated scaffolds for enhanced critical thinking in EFL writing." Edelweiss Applied Science and Technology 9, no. 6 (2025): 43–54. https://doi.org/10.55214/25768484.v9i6.7751.

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Generative AI tools present new opportunities for enhancing critical thinking (CT) in English as a Foreign Language (EFL) writing instruction. This study investigates how the structured integration of these technologies could support the development of CT skills, particularly in vocational education contexts. An eight-week multiple-case action research design was conducted across three vocational colleges, involving 92 students engaged in iterative writing and revision cycles guided by the GenAI-CT framework. This pedagogical model draws on Bloom’s taxonomy, Vygotsky’s Zone of Proximal Develop
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Kerres, Michael, and Katja Buntins. "Recommender in AI-enhanced Learning: An Assessment from the Perspective of Instructional Design." Open Education Studies 2, no. 1 (2020): 101–11. http://dx.doi.org/10.1515/edu-2020-0119.

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AbstractAs tools for AI-enhanced human learning, recommender systems support learners in finding materials and sequencing learning paths. The paper explores how these recommenders improve the learning experience from a perspective of instructional design. It analyzes mechanisms underlying current recommender systems, and it derives concrete examples of how they operate: Recommenders are either expert-, criteria-, behavior-, or profile-based or rely on social comparisons. To verify this classification of five different mechanisms, we analyze a set of current publications on recommenders and fin
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Hwang, Jihyun, Yechan Lee, Seung-Hyun Kim, Juyeon Lee, and Wan Hui Lee. "Effectiveness analysis of AI-based educational technology tools." Korean School Mathematics Society 28, no. 2 (2025): 143–62. https://doi.org/10.30807/ksms.2025.28.2.004.

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This study examined the effectiveness of AI-based educational technology through a case study of JindanMath, an AI-driven tool designed to support personalized mathematics instruction. JindanMath incorporated features such as real-time feedback, personalized learning pathways, and error note recommendations, aimed at enhancing teaching practices and student engagement. The study employed the Fidelity of Implementation (FOI) framework and a logic model to assess how the tool’s design and implementation influenced classroom outcomes, as opposed to using a traditional group comparison design. Dat
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Dogan, Selçuk. "A Human-AI Hybrid Co-Design Model: Planning Effective Instruction with ChatGPT." Asian Journal of Distance Education 20, no. 1 (2025): 94–119. https://doi.org/10.5281/zenodo.15212405.

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This article explores the integration of ChatGPT into instructional design, utilizing a backward planning framework to align learning objectives, assessments, and activities for enhanced educational outcomes. Grounded in the principles of Understanding by Design (UbD) the paper introduces a three-step human-AI hybrid co-design model that enables educators to streamline planning processes while maintaining pedagogical rigor. This manuscript demonstrates how generative AI can support the creation of transfer goals, performance tasks, and authentic learning experiences, providing detailed prompts
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Marilyn, F. Manzon, and Nelita F. Belena Dr. "Effectiveness of AI-Enhanced Teaching Methods for Students with Learning Disabilities in Selected Schools in Antipolo Rizal: Bases for a Proposed Training Program for AI-Enhanced Integration Program." International Journal of Social Science and Human Research 08, no. 05 (2025): 3102–13. https://doi.org/10.5281/zenodo.15461831.

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This study examined the effectiveness of AI-enhanced teaching methods compared to traditional instructional strategies for students with learning disabilities in selected Special Education (SPED) schools in Antipolo City. Utilizing a mixed-method research design, the study combined quantitative data from surveys with qualitative insights from semi-structured interviews. A total of 30 SPED teachers and administrators participated in the quantitative phase, while 8 respondents provided in-depth qualitative data. The research instrument designed for this study was a comprehensive tool to assess S
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Jalmasco, Ana Carmella, Joyce Maan Loberes, and Nestor Jr Lasala. "Interactive Story for Teaching Ecosystem Topics Using Twine Application for Elementary School Students." Journal of Basic Education Research 6, no. 2 (2025): 66–78. https://doi.org/10.37251/jber.v6i2.1480.

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Purpose of the Study. This study aims to design, develop, and evaluate EcoQuest, an interactive digital story for teaching ecosystem topics to high school students. Utilizing the Twine application, EcoQuest integrates interactive storytelling to create an engaging instructional tool for science education. Methodology. A descriptive-developmental research design, following the ADDIE model, was employed. EcoQuest was developed using Twine for interactivity, Canva for visual design, and AI-generated narration for audio. Supplementary videos were sourced from YouTube. The tool was evaluated by sci
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Lü, Xuanling. "A Quantitative Study of Artificial Intelligence in Foreign Language Talent Cultivation." English Language Teaching and Linguistics Studies 7, no. 2 (2025): p24. https://doi.org/10.22158/eltls.v7n2p24.

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The integration of artificial intelligence (AI) in foreign language education is reshaping traditional pedagogical models, offering new opportunities for personalized learning, adaptive assessments, and data-driven instructional strategies. This paper explores the impact of AI on foreign language talent cultivation through quantitative analysis of AI-assisted teaching methods and their effects on learner outcomes. By employing a large-scale survey and experimental design, the study evaluates how AI tools—such as intelligent tutoring systems, machine learning-based assessment models, and natura
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Book chapters on the topic "AI-enhanced instructional design"

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Hrich, Najoua, Mohamed Azerki, and Mohamed Khaldi. "AI-Enhanced Education." In Advances in Educational Technologies and Instructional Design. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-2262-9.ch004.

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Education is a constantly evolving field, where the decisions made by teachers, administrators, and policymakers significantly impact students' academic journey and progress. In this dynamic context, integrating Artificial Intelligence (AI) open new perspectives to support and enhance informed decision-making. Using AI, with its advanced data analysis, predictive modeling, and process automation capabilities, can provide valuable information to education stakeholders, enabling them to make more informed and effective decisions. Assessment plays a crucial role in the educational process, enabli
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Arcinas, Myla. "AI-Enhanced Peace Education." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-8191-5.ch005.

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This chapter investigates the integration of artificial intelligence (AI) in higher education peace programs, examining its effects on student outcomes, engagement, and critical thinking. Employing a concurrent mixed-methods approach, the study collected data from 500 survey respondents and 50 interviewees across five institutions. Quantitative findings reveal significant improvements in learning outcomes, particularly in knowledge acquisition (d = 0.82) and critical thinking (d = 0.70), with increased student engagement (d = 0.46–0.61). AI integration emerged as the strongest predictor of lea
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Ismail, Islam Asim. "Protecting Privacy in AI-Enhanced Education." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-0884-4.ch006.

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Artificial Intelligence in education has revolutionized learning environments, but it brings significant challenges concerning data privacy and ethical considerations. Through a comprehensive review of contemporary research, the author investigates the types of data collected in AI-driven education, risks, ethical considerations, and potential solutions to address these issues. The chapter presents case studies, including the inBloom initiative and the implementation of learning analytics at the Open University UK, to illustrate real-world privacy challenges and solutions. Our analysis reveals
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Kovilpillai, Jonathan J. S., Abtar Darshan Singh, Analisa Hamdan, Kelly McKenna, and Fahd Ali Raza. "AI Enhanced Micro-Credentials for Efficiency and Accessibility." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5488-9.ch008.

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This chapter, according to the authors, explores the transformative potential of Generative Artificial Intelligence (Gen-AI) in the design, development, and delivery of micro-credentials, aimed at enhancing efficiency and accessibility in education. By analyzing research from a pilot study conducted at a private university, the chapter delves into AI-driven approaches that improve learner engagement, course completion rates, and learner satisfaction. It addresses the role of AI in personalizing learning experiences, supporting learner success, and ensuring equitable access to educational oppor
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Asrifan, Andi, Sadaruddin Sadaruddin, Ashar Ashar, Jusmaniar Nonci, Trisno Setiawan, and Erniati Erniati. "Redefining Learning Pathways." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-5488-9.ch012.

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AI-enhanced micro-credentials can optimize learning pathways, improve access to education, and boost workforce skills, according to this report. It addresses traditional education delivery model issues and an increasing requirement for lifelong learning. An AI expert system tool called EDMENTUM validates credentials and customizes learning routes in the quasi-experimental study on AI-enhanced micro-credentials and learning efficiency. Discussing micro-credentials history and integration with AI, case examples show their practical use. The document also emphasizes linking education with industr
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Monika Singh, T., C. Kishor Kumar Reddy, B. V. Ramana Murthy, Anindya Nag, and Srinath Doss. "AI and Education." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-8151-9.ch005.

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This chapter explores how Artificial Intelligence (AI) is revolutionizing education by transforming traditional learning methods into more personalized, efficient, and accessible experiences. It examines the historical evolution of educational technologies, highlights the shift to AI-driven approaches, and outlines key elements such as data-driven insights, interactive learning environments, personalized platforms, and administrative task automation. The study discusses AI's advantages, including enhanced personalization, increased efficiency, improved accessibility, and greater student engage
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Çela, Eriona, Mathias M. Fonkam, Narasimha Rao Vajjhala, and Alexey Vedishchev. "Artificial Intelligence in Education." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7220-3.ch001.

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This chapter explores the transformative role of artificial intelligence (AI) in education, focusing on secondary and higher education contexts. This chapter provides a comprehensive overview of how AI technologies are reshaping educational practices through personalized learning, adaptive curriculum design, and enhanced student engagement. By examining current trends, such as AI-driven assessment tools, learning analytics, and adaptive learning systems, the chapter highlights both the opportunities and challenges AI presents for educators and institutions. Key ethical considerations, includin
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Amah, Okechukwu, and Victoria Oluwakemi Okesipe. "AI in Education." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3944-2.ch001.

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Educational activities, such as teaching and learning, are inherently knowledge-intensive cognitive processes. AI applications, which are designed for cognition and problem-solving using algorithms and knowledge bases, can effectively support and enhance educators' and learners' abilities in teaching and learning endeavors. This chapter delves into the burgeoning integration of Artificial Intelligence (AI) within the educational sector. We begin by exploring the current applications of AI in various educational segments, highlighting how this technology is transforming the teaching-learning ex
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Vashishth, Tarun Kumar, Vikas Sharma, Mukesh Kumar Sharma, Kewal Krishan Sharma, and Rajeev Sharma. "The Role of Teachers in an AI-Enhanced Educational Landscape." In Advances in Educational Technologies and Instructional Design. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7949-3.ch009.

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The creation of artificial intelligence (AI) in training presents each possibilities and challenges, reshaping traditional coaching roles and methodologies. This paper explores the evolving position of teachers in an AI-improved instructional panorama, emphasizing the significance of human-centric abilities along with empathy, creativity, and critical wondering. While AI can automate administrative tasks and offer personalized learning studies, instructors remain critical in fostering a supportive and tasty mastering surroundings. The take a look at highlights the symbiotic courting among AI e
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"Conclusion." In Advances in Educational Technologies and Instructional Design. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-3474-4.ch009.

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The chapter examines the evolving role of teachers in AI-enhanced learning environments, positioning them as facilitators of learning rather than being replaced by AI. Teachers are now tasked with integrating AI tools responsibly to align with pedagogical and ethical standards. In addition to exploring the benefits of AI, the chapter also addresses challenges, such as the need for continued human oversight in AI-driven education and the limitations of AI-generated responses. Recommendations for future research include focusing on AI's impact in under-resourced educational environments and deve
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Conference papers on the topic "AI-enhanced instructional design"

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Sugie, Satoko. "Exploring the potential of AI-supported instructional design and multimodal communication to promote a paradigm shift in Chinese language education." In XXnd International CALL Research Conference. Castledown Publishers, 2024. http://dx.doi.org/10.29140/9780648184485-41.

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This study addresses a crucial issue in Chinese language education in Japanese universities, emphasizing the need to innovate from traditional teaching paradigm towards technology-enhanced approaches. By integrating AI-supported instructional designs grounded in Task-Based Language Teaching (TBLT) principles, the study aims to enhance the learning experience for novice Chinese learners. The incorporation of AI and ICT tools such as online whiteboards, ChatGPT for dialogue writing and translation, automatic speech synthesis tools for pronunciation practice, and video editing applications demons
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Filippi, Stefano. "Exploring AI Integration in Engineering Education: A Framework for Product Representation and Behavioral Insights." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006659.

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Artificial intelligence (AI) is reshaping engineering education by enhancing creativity, collaboration, and problem-solving. This paper introduces a conceptual framework for integrating AI tools into undergraduate and graduate engineering courses, focusing on product representation schemes such as geometric modeling, technical drawing, and visual communication. The framework aims to bridge theoretical knowledge with practical applications, ensuring improved educational outcomes.The study provides a structured approach to evaluating the potential impact of AI on student learning, emphasizing ou
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MurrellJones, Matasha, and Imani Akin. "Bridging Theory and Application in Academic Writing: Strategies to Enhance Critical Thinking and Real-World Integration in Higher Education [Abstract]." In InSITE 2025: Informing Science + IT Education Conferences: Hiroshima. Informing Science Institute, 2025. https://doi.org/10.28945/5574.

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Aim/Purpose The purpose is to examine existing practices through an applied application lens as it relates to understanding theory and application in academic writing, and to identify best practices for developing academic skills to bridge the gap between theory and application in higher education. The problem is students struggle to produce work demonstrating critical thinking and analysis to align with course concepts and real-world application. Background The study underscores the importance of integrating explicit instruction on writing into the curriculum. Methodology Qualitative research
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Reunanen, Tero, and Noora Nieminen. "Artificial Intelligence as a Catalyst: A Case Study on Adaptive Learning in Programming Education." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004957.

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In the dynamic field of programming education, integrating artificial intelligence (AI) tools has started to play a significant role in enhancing learning experiences. This paper presents a case study conducted during a foundational programming course for first-year students in higher education, where students were encouraged to utilize generative artificial intelligence programming copilot extensions in their programming IDE and browser-based generative AI tools as supportive AI tools. The primary objective was to observe the impact of AI on the learning curve and the overall educational expe
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Nickel, Romeo, and Sharon Hsiao. "Creative Collaborator: AI-facilitated UI for Creating Engaging and Insightful Memes." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005579.

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Memes have become a prevalent part of digital culture, transcending their origins as simple internet jokes to become powerful tools for communication, social commentary, and even education. Their social and cultural use is diverse, serving as a universal language for expressing complex ideas, fostering community, and providing a platform for social critique. Studies such as Tidy et al. (2024) and Brown (2020) have highlighted the educational potential of memes in STEM fields, demonstrating their effectiveness in simplifying complex concepts and engaging students. Platforms for meme creation ha
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Yong, Gunwoo, Quan Miao, Meiyin Liu, and Sanghyun Lee. "Ergonomic Problem and Solution Identification by Applying Image Captioning with Embedded Ergonomic Knowledge." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005582.

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Work-related musculoskeletal disorders (WMSDs) are a primary cause of non-fatal injuries in diverse industries. Traditional manual ergonomic problem and solution identification for reducing WMSDs is time-consuming and limited by expert availability. Image captioning—interpreting images of workers and their workplaces and capturing interactions therein—is one potential alternative. Yet, due to the absence of ergonomic knowledge, conventional image captioning models are limited in generating accurate captions of ergonomic problems and solutions. Therefore, we aim to automatically identify ergono
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Paraskeva, Foteini, and Eleni Neofotistou. "Digital creativity and problem-solving in higher engineering education: Developing an e-course using the educational affordances of STEAM methodology." In Human Interaction and Emerging Technologies (IHIET-AI 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004588.

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STEAM methodology has been proven effective in combining different learning topics in inter-disciplinary teaching approaches, to achieve better learning results. It appeals to the contemporary world’s demands by preparing tomorrow citizens in terms of job efficacy and 21st century skills. Especially, students with high engineering expertise need to develop core skills, including problem-solving, information processing, collaboration and communication skills, and engagement in life-long learning perspectives, embedded in current social and economic circumstances. To do so, inter-disciplinary ed
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Ziakkas, Dimitrios, Debra Henneberry, and Konstantinos Pechlivanis. "Application of Emerging Technologies in Electric Vertical Take-Off and Landing CBTA Training." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005776.

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The advent of electric Vertical Take-Off and Landing (eVTOL) aircraft signifies a transformative shift in urban air mobility, promising to revolutionize transportation in densely populated areas. As the industry evolves, the need for specialized training methodologies becomes paramount to ensure the safety, efficiency, and effectiveness of eVTOL operations. The Competency-Based Training and Assessment (CBTA) approach, rooted in tailoring instruction to specific competencies required for operational roles, presents itself as an optimal framework for eVTOL pilot training. This paper explores the
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Fariha Baki, Ramisha, Apostolos Kalatzis, and Laura Stanley. "Integrating Robotics, AI, and Immersive Technologies: A Modular Framework for Human-Metahuman-Robot Collaboration." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006373.

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Collaborative robots have been rapidly increasing across industries, particularly in manufacturing settings. This advancement allows humans and robots to work side by side to complete tasks more efficiently. Moreover, with the development of synthetic actors like Metahumans, humans can now enter immersive environments where these Metahumans act as guides and help humans in task executions. However, there is limited implementation of combining both technologies (synthetic actors and collaborative robots) in the industrial field.This paper proposes a system that combines speech recognition, obje
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