Explainable AI for Education: Recent Trends and Challenges (教育中的可解釋人工智慧：近期趨勢與挑戰)
Singh, Tanu, Dutta, Soumi, Vyas, Sonali
相關主題
商品描述
"Explainable AI for Education: Recent Trends and Challenges" is a comprehensive exploration of the intersection between artificial intelligence (AI) and education. In this book, we delve into the critical need for transparency and interpretability in AI systems deployed within educational contexts.
Key Themes
Understanding AI in Education:
We provide a concise overview of AI techniques commonly used in educational settings, including recommendation systems, personalized learning, and assessment tools.
Readers will gain insights into the potential benefits and risks associated with AI adoption in education.
The Black-Box Problem:
AI models often operate as "black boxes," making it challenging to understand their decision-making processes.
We discuss the implications of this opacity and emphasize the importance of explainability.
Explainable AI (XAI) Techniques:
From rule-based approaches to neural network interpretability, we explore various methods for making AI models more transparent.
Examples and case studies illustrate how XAI can enhance educational outcomes.
Ethical Considerations:
As AI becomes more integrated into education, ethical dilemmas arise.
We address issues related to bias, fairness, and accountability, emphasizing responsible AI practices.
Future Directions:
Our book looks ahead, considering the evolving landscape of AI and its impact on education.
We propose research directions and practical steps to promote XAI adoption in educational institutions.
商品描述(中文翻譯)
《教育中的可解釋人工智慧：近期趨勢與挑戰》是對人工智慧（AI）與教育交集的全面探索。在本書中，我們深入探討在教育環境中部署的AI系統對透明度和可解釋性的迫切需求。
主要主題
理解教育中的AI：
我們提供了在教育環境中常用的AI技術的簡要概述，包括推薦系統、個性化學習和評估工具。
讀者將獲得有關AI在教育中採用的潛在好處和風險的見解。
黑箱問題：
AI模型通常作為「黑箱」運作，使得理解其決策過程變得困難。
我們討論了這種不透明性的影響，並強調可解釋性的重要性。
可解釋AI（XAI）技術：
從基於規則的方法到神經網絡的可解釋性，我們探討了使AI模型更透明的各種方法。
範例和案例研究說明了XAI如何提升教育成果。
倫理考量：
隨著AI在教育中越來越多地被整合，倫理困境隨之而來。
我們針對偏見、公平性和問責制等問題進行探討，強調負責任的AI實踐。
未來方向：
我們的書展望未來，考慮AI不斷演變的格局及其對教育的影響。
我們提出了研究方向和實際步驟，以促進教育機構中XAI的採用。
作者簡介
Dr. Tanu Singh is a highly liked professor at UPES, with a distinguished teaching career spanning over 7 years characterized by an unwavering commitment to excellence. She earned her Full-time PhD in Computer Science and Engineering from GGSIPU, New Delhi in 2022, following her Full-time MTech in CSE from PTU, Punjab in 2014, and her Full-time Graduation (BTech - IT) from PTU, Punjab in 2011. Proficient in Core Computer Science, software engineering, data analytics, and data warehousing, Dr. Singh has consistently showcased her proficiency in both teaching and research. Joining UPES in 2022, Dr. Singh has devoted herself to the advancement of education and research, embodying a deep-seated passion for nurturing the next generation of scholars. Her pedagogical approach is rooted in fostering continual growth and academic excellence among her students. With a robust academic background and over seven years of cumulative experience, she brings a wealth of knowledge and expertise to her role. Dr. Tanu Singh's contributions extend beyond the classroom, evidenced by her numerous publications, book chapters and patents. Her research endeavours cover a diverse array of topics, including data science, machine learning, and IoT, among others. Notably, her innovative ideas are not confined to theory; Dr. Singh has demonstrated her ability to translate concepts into practical solutions through her patent and design registrations. Committed to driving innovation and making meaningful contributions to her field, Dr. Singh remains dedicated to pushing the boundaries of knowledge and inspiring future generations.
Dr. Soumi Dutta is Associate Professor at Sister Nivedita University, India. She has completed her Ph.D(CST), IIEST, Shibpur. She received her B.Tech(IT) and M.Tech(CSE) securing 1st position (Gold medallist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020 and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis and Image Processing. She has published 51 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. She has 17 Book in Palgrave Macmillian, Springer, IET and IGI Global. She is peer reviewer and TPC member in different international journals. She was the editor in CIPR 2020, CIPR2019, IEMIS 2020, CIIR 2021, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023 and special issues in IJWLTT. She is the member of several technical functional bodies such as CSI, ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 7 patents and 1 Copyright. She has one Authored book in Elsevier. Dr. Soumi Dutta has delivered 39 Keynote talks in Different International Conferences. She has been awarded with Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, International Teacher Award 2020-21 by Ministry of MSME, Government of India.
Dr Sonali Vyas She is serving as an academician and researcher for more than 13 years. Currently, she is working as an Associate Professor in the School of Computer Science at University of Petroleum and Energy Studies, Uttarakhand. Her research interests include Healthcare Informatics, Data Analytics, Database Virtualization, Data Mining, and Big Data Analytics. She is a professional member of Senior Member-IEEE, ACM-India, CSI, IFERP, IAENG, ISOC, SCRS and IJERT. She has authored an ample number of research papers, articles and chapters in refereed journals/conference proceedings and books. She authored and edited many books like "Smart Health Systems", Springer and "Artificial Intelligence and Machine Learning Concepts", SIPH, "Blockchain Technology: Exploring Opportunities, Challenges, and Applications. CRC Press, Taylor & Francis Group", "Pervasive Computing: A Networking Perspective and Future Directions", Springer Nature and "Smart Farming Technologies for Sustainable Agricultural Development, IGI Global". She acted as a guest editor in a special issue of "Machine Learning and Software Systems" in "Journal of Statistics & Management Systems (JSMS)" (Thomson Reuters)". She has also authored 4 patents in the research area of Smart and sustainable systems. She has also acted as a Resource Person in AICTE-ISTE Faculty Refresher Course on "Embedded Systems, IoT, Pervasive Computing" and delivered many talks reputed International and National Conferences. She is also a member of the Editorial Board and Reviewer Board in many referred National and International journals. She has also been a member of the Organizing Committee, National Advisory Board and Technical Program Committee at many International and National conferences. She has also Chaired Sessions at various reputed International and National Conferences. She has been awarded "Young Researcher Award 2022, by Universal Innovators Leadership Awards (UILA 2022)", "National Distinguished Educator Award 2021" and "International Young Researcher Award 2021", instituted by the "International Institute of Organized Research (I2OR) which is a registered MSME, Government of India" and Green ThinkerZ. Also awarded as "Women Researcher Award 2021", by VDGOOD Professional Association in International Conference on Award winners in Engineering, Science and Medicine. Also awarded as "Best Academician of the Year Award (Female)" in "Global Education and Corporate Leadership Awards (GECL-2018)".
Álvaro Rocha was listed in 2023 as World's 1% Top Scientists by Stanford University and Elsevier, World's Top 0.05% Scientist by ScholarGPS, and World's Top 1% Scientist by ResearchGate for the fields of Information Science and Information Systems. He is Professor at ISEG, University of Lisbon, Invited Professor at University of Calabria, Honorary Professor at Amity University, President of ITMA - Information and Technology Management Association, Vice-Chair of IEEE SMC Portugal Chapter, and Book Series Scientific Manager at Springer-Nature. He holds the title of Honorary Professor, and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science. He is researcher at the ADVANCE (the ISEG Centre for Advanced Research in Management), and a collaborator researcher at CINTESIS (Center for Research in Health Technologies and Information Systems). His main research interests are maturity models, information systems quality, online service quality, requirements engineering, intelligent information systems, e-Government, e-Health, and information technology in education. He is also Founder and Editor-in-Chief of both following Scopus and/or WoS journals: JISEM (Journal of Information Systems Engineering & Management) and RISTI (Revista Ibérica de Sistemas e Tecnologias de Informação / Iberian Journal of Information Systems and Technologies). Moreover, he has served as Vice-Chair of Experts for the European Commission's Horizon 2020 Program, and as an Expert at the COST - intergovernmental framework for European Cooperation in Science and Technology, at the European Commission's Horizon Europe Program, at the Government of Italy's Ministry of Universities and Research, at the Government of Latvia's Ministry of Finance, at the Government of Mexico's National Council of Science and Technology, at the Government of Polish's National Science Centre, at the Government of Cyprus's Research and Innovation Foundation, and at the Government of Slovak's Research Agency.
作者簡介(中文翻譯)
Dr. Tanu Singh 是 UPES 受人喜愛的教授，擁有超過 7 年的卓越教學經歷，展現出對卓越的堅定承諾。她於 2022 年在新德里 GGSIPU 獲得計算機科學與工程的全日制博士學位，之前於 2014 年在旁遮普 PTU 獲得計算機科學與工程的全日制碩士學位，並於 2011 年在旁遮普 PTU 獲得計算機科學與工程的全日制學士學位（BTech - IT）。Dr. Singh 精通核心計算機科學、軟體工程、數據分析和數據倉儲，並在教學和研究方面持續展現其專業能力。自 2022 年加入 UPES 以來，Dr. Singh 致力於教育和研究的推進，展現出對培養下一代學者的深厚熱情。她的教學方法根植於促進學生的持續成長和學術卓越。憑藉堅實的學術背景和超過七年的累積經驗，她為自己的角色帶來了豐富的知識和專業技能。Dr. Tanu Singh 的貢獻超越了課堂，通過她的多篇出版物、書籍章節和專利得以證明。她的研究涵蓋多樣的主題，包括數據科學、機器學習和物聯網等。值得注意的是，她的創新想法不僅限於理論；Dr. Singh 展示了將概念轉化為實際解決方案的能力，通過她的專利和設計註冊來實現。她致力於推動創新並對其領域做出有意義的貢獻，始終專注於拓展知識的邊界並激勵未來的世代。
Dr. Soumi Dutta 是印度 Sister Nivedita University 的副教授。她在 IIEST, Shibpur 完成了她的博士學位（CST）。她在 MAKAUT 獲得了 B.Tech（IT）和 M.Tech（CSE），並獲得第一名（金獎）。她於 2020 年獲得 Publons Academy Peer Reviewer 認證，並於 2020 年成為微軟創新教育者認證。她的研究興趣包括數據挖掘、信息檢索、在線社交媒體分析和圖像處理。她在 Springer、IEEE、IGI Global、Taylor & Francis 等期刊和會議上發表了 51 篇論文。她在 Palgrave Macmillian、Springer、IET 和 IGI Global 出版了 17 本書。她是多個國際期刊的同行評審和 TPC 成員。她曾擔任 CIPR 2020、CIPR 2019、IEMIS 2020、CIIR 2021、IEMIS 2018、IEMIS 2022、ICIDA 2022、ICIDA 2023、CIIR 2023 和 IJWLTT 特刊的編輯。她是多個技術功能機構的成員，如 CSI、ACM、IEEE、IFERP、MACUL、SDIWC、Internet Society、ICSES、ASR、AIDASCO、USERN、IRAN 和 IAENG。她已發表 7 項專利和 1 項版權，並在 Elsevier 出版了一本著作。Dr. Soumi Dutta 在不同的國際會議上發表了 39 場主題演講。她獲得了 Rashtriya Shiksha Ratna 獎、InSc 研究教育卓越獎、印度政府 MSME 部門頒發的 2020-21 國際教師獎。
Dr. Sonali Vyas 在學術界和研究領域服務超過 13 年。目前，她在烏塔拉坎德的石油與能源研究大學計算機科學學院擔任副教授。她的研究興趣包括醫療信息學、數據分析、數據庫虛擬化、數據挖掘和大數據分析。她是 IEEE、ACM-India、CSI、IFERP、IAENG、ISOC、SCRS 和 IJERT 的專業會員。她在同行評審的期刊、會議論文集和書籍中發表了大量研究論文、文章和章節。她編著和編輯了多本書籍，如《Smart Health Systems》（Springer）和《Artificial Intelligence and Machine Learning Concepts》（SIPH）。
