AI Based Solutions for Inclusive Quality Education
暫譯: 基於人工智慧的包容性優質教育解決方案
Soni, K. M., Hasteer, Nitasha, Bhardwaj, Aditi
商品描述
AI Based Solutions for Inclusive Quality Education helps readers discover practical AI tools for diverse learning styles and abilities, fostering inclusivity in education and maximizing the individual potential of students and educators. It provides cutting-edge solutions designed to remove barriers due to accessibility and create an equitable classroom. Through practical applications and case studies, the book explores the power of AI in creating personalized learning pathways and methods of engagement in the classroom while emphasizing that the human touch, with empathy and critical thinking, remains central to the learning process. It addresses concerns about the ethical development and deployment of AI in education.
Features
- Discusses a topic that is at the forefront of concerns in the education sector with the disruptive impact of advances in AI.
- Provides explanations for specific AI platforms and tools, along with their features and applications in education.
- Includes case studies and discusses inclusivity and the lessons learned from each AI application.
- Explains how to ethically handle bias, privacy and transparency in AI-based solutions in education.
- Serves as a comprehensive guide for educators, policymakers and technology developers interested in the power of AI in educational environments.
This book serves as a timely reference in the current era of AI tools and education. It is written for those who work in the education sector, as well as researchers, academicians, undergraduate and graduate students, those involved with undergraduate teaching in critical thinking and problem-solving for information systems, information technology, computer science and engineering and all teaching institutions where AI tools have been or will be introduced.
商品描述(中文翻譯)
《基於人工智慧的包容性優質教育解決方案》幫助讀者發現適用於多樣學習風格和能力的實用人工智慧工具，促進教育的包容性，並最大化學生和教育者的個人潛力。它提供了前沿的解決方案，旨在消除因可及性而造成的障礙，創造公平的課堂環境。通過實際應用和案例研究，本書探討了人工智慧在創建個性化學習路徑和課堂參與方法中的力量，同時強調人性化的觸感，具備同理心和批判性思維，仍然是學習過程的核心。它還針對人工智慧在教育中的倫理發展和部署提出了相關的擔憂。
特色
- 討論了在教育領域中，隨著人工智慧進步而帶來的顛覆性影響的前沿議題。
- 提供特定人工智慧平台和工具的解釋，以及它們在教育中的特點和應用。
- 包含案例研究，並討論包容性及每個人工智慧應用所學到的教訓。
- 解釋如何在基於人工智慧的教育解決方案中，倫理地處理偏見、隱私和透明度問題。
- 作為教育工作者、政策制定者和技術開發者的綜合指南，對於有興趣於人工智慧在教育環境中力量的人士尤為重要。
本書在當前人工智慧工具和教育的時代中，提供了及時的參考。它是為在教育領域工作的人士、研究者、學者、本科生和研究生，以及參與信息系統、信息技術、計算機科學和工程的批判性思維和問題解決本科教學的所有教學機構而撰寫的，無論是已經引入或將要引入人工智慧工具的機構。
作者簡介
K.M. Soni is a Professor at Amity School of Engineering & Technology, Dy. Dean (Eng. & Tech.), In-charge of Ph.D. Dept. AUUP. He has over 25 years of teaching, research, and academic administrative experience. He has authored several books on Circuits and Systems, Signals and Systems, and Advanced Control Systems etc. He has authored over 50 technical research papers in refereed conferences and journals and has served as a Reviewer, Programme Committee Member, and Session Chair of National & International Conferences in India and abroad. He is an Assessor of the National Assessment and Accreditation Council (NAAC), Govt. of India. His current research interests are in Power Electronics, Power Systems, Advanced Control Systems, Signal Processing, IoT, Artificial Intelligence, Education Technology, and other related areas.
Nitasha Hasteer is a Professor & Head of the Information Technology Department, and Deputy Director (Academics) at the Amity School of Engineering & Technology, Amity University Uttar Pradesh. She holds a Ph.D. in Computer Science & Engineering and has over 24 years of teaching, research, and consultancy experience across academia and industry. Her primary research interests lie in Education Technology, Crowdsourced Software Development, Software Project Management, and Process Modeling using Multi-Criteria Decision-Making Techniques. Dr. Hasteer has made significant contributions to these fields, publishing more than 80 research papers in renowned international journals & conferences and has served on the editorial boards of several high-impact international conferences and journals.
Aditi Bhardwaj is an Assistant Professor in the Computer Science and Engineering Department at Amity University, Noida Uttar Pradesh. With over five years of teaching and research experience, Dr. Bhardwaj has established herself as a respected authority in Artificial Intelligence and Machine Learning. Her research contributions have been widely published by IEEE, Elsevier, Taylor & Francis etc. She has been an editor and co-editor of various books published by different publishers.
Rahul Sindhwani is an Assistant Professor at the Indian Institute of Management, Sambalpur- Odisha, India. With over 10 years of experience in teaching and research, he has made significant contributions to the academic community through his research work, which has been published in highly regarded journals. His expertise lies in the areas of Decision Science, Quantitative Techniques, Sustainability, Operations Management, etc.
J. Paulo Davim is a Professor at the Department of Mechanical Engineering of the University of Aveiro, Portugal. He has more than 30 years of teaching and research experience in Manufacturing, Materials, Mechanical and Industrial Engineering, Engineering Education and Higher Education for Sustainability. Presently, he is an Editorial Board member of 30 international journals, has published as editor and co-editor more than 125 books and as author and co-author more than 10 books, 80 book chapters and 400 articles in journals and conferences.
作者簡介(中文翻譯)
K.M. Soni 是阿米提工程與技術學院的教授，副院長（工程與技術），負責博士部門的工作。他擁有超過25年的教學、研究和學術行政經驗。他著有多本有關電路與系統、信號與系統以及先進控制系統等方面的書籍。他在經過審核的會議和期刊上發表了超過50篇技術研究論文，並擔任過印度及國際會議的審稿人、程序委員會成員和會議主席。他是印度政府國家評估與認證委員會（NAAC）的評估員。他目前的研究興趣包括電力電子學、電力系統、先進控制系統、信號處理、物聯網、人工智慧、教育技術及其他相關領域。
Nitasha Hasteer 是阿米提工程與技術學院資訊科技系的教授及系主任，並擔任阿米提大學北方邦學術副主任。她擁有計算機科學與工程的博士學位，並在學術界和產業界擁有超過24年的教學、研究和顧問經驗。她的主要研究興趣在於教育技術、群眾外包軟體開發、軟體專案管理以及使用多準則決策技術的過程建模。Hasteer博士在這些領域做出了重要貢獻，發表了超過80篇研究論文於知名的國際期刊和會議，並擔任多個高影響力國際會議和期刊的編輯委員會成員。
Aditi Bhardwaj 是阿米提大學北方邦計算機科學與工程系的助理教授。擁有超過五年的教學和研究經驗，Bhardwaj博士在人工智慧和機器學習領域建立了自己的權威地位。她的研究成果已被IEEE、Elsevier、Taylor & Francis等廣泛發表。她曾擔任多本由不同出版社出版的書籍的編輯和共同編輯。
Rahul Sindhwani 是印度奧迪沙邦桑巴爾普爾印度管理學院的助理教授。擁有超過10年的教學和研究經驗，他通過其研究工作對學術界做出了重要貢獻，並在高度受尊重的期刊上發表。其專業領域包括決策科學、定量技術、可持續性、運營管理等。
J. Paulo Davim 是葡萄牙阿維羅大學機械工程系的教授。他在製造、材料、機械與工業工程、工程教育及可持續高等教育方面擁有超過30年的教學和研究經驗。目前，他是30本國際期刊的編輯委員會成員，作為編輯和共同編輯出版了超過125本書籍，作為作者和共同作者出版了超過10本書籍、80個書章以及400篇期刊和會議文章。
