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Titlebook: Breaking Barriers with Generative Intelligence. Using GI to Improve Human Education and Well-Being; First International Azza Basiouni,Clau

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發(fā)表于 2025-3-21 18:16:46 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Breaking Barriers with Generative Intelligence. Using GI to Improve Human Education and Well-Being
期刊簡稱First International
影響因子2023Azza Basiouni,Claude Frasson
視頻videohttp://file.papertrans.cn/193/192754/192754.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Breaking Barriers with Generative Intelligence. Using GI to Improve Human Education and Well-Being; First International  Azza Basiouni,Clau
影響因子.The book constitutes the proceedings for the First International Conference on Breaking Barriers with Generative Intelligence, BBGI 2024, held in Thessaloniki, Greece, on June 10, 2024.?This Workshop is part of the 20th International Conference on Intelligent Tutoring Systems (ITS2024) which was held in Thessaloniki, from June 10 to June 13, 2024...The 19 full papers and 1 short paper included in this volume were carefully reviewed and selected from a total of 24 submissions...Breaking Barriers with Generative Intelligence delves into how GI in AI improves human education and well-being. This interdisciplinary event brought together professionals from academia, industry, and government to address AI ethics, human-AI interaction, and the societal implications of GI. Participants learned to tackle social concerns and promote diversity in research and development through keynote presentations, panel discussions, and interactive workshops..
Pindex Conference proceedings 2024
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Susanne Pickel,Gert Pickel,Detlef Jahnivity engenders a dynamic learning experience, transcending the boundaries of traditional classrooms. Additionally, ChatGPT’s language versatility ensures inclusivity in education. It bridges linguistic gaps, enabling multilingual interactions and content delivery. The AI’s role as a virtual tutor a
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Mikrobasierte Verfahren der Datenanalyse,h, addressing ethical concerns related to data privacy, algorithmic bias, and the integrity of AI outputs. This study explores both the potential and challenges of GI, providing a balanced perspective on its role in enhancing educational outcomes and shaping future educational practices.
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Mikrobasierte Verfahren der Datenanalyse,neration, and create student learning experience types for individuals but challenges to its successful implementation such as AI errors, biases and lack of AI experts lead to significant limitations. Proposed solutions include courses and AI teams, creating AI-integrated courses, and providing trai
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https://doi.org/10.1007/978-3-531-91331-5essment items related to a given value of entropy or scoring equilibrium between the scores chosen for the items. The purpose of this analysis is to obtain an optimal score configuration for an item which can offer chosen score equilibrium between the options score and which could give the opportuni
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https://doi.org/10.1007/978-3-531-91331-5t tests on several nodes within a network, where each node has generative tasks. Moreover, they have been successfully applied and solved a wide range of problems, including scheduling, routing, and load balancing in distributed systems. This article also presents a comparative analysis of GA perfor
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