Machine Learning Based Approaches for Pedagogical Data Analysis
暫譯: 基於機器學習的教學數據分析方法
Mukherjee, Anirban, Deyasi, Arpan, Mukherjee, Soumen
- 出版商: CRC
- 出版日期: 2026-06-02
- 售價: $5,130
- 貴賓價: 9.5 折 $4,873
- 語言: 英文
- 頁數: 258
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032871903
- ISBN-13: 9781032871905
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相關分類:
Machine Learning
尚未上市,無法訂購
相關主題
商品描述
The use of intelligent technologies to enhance instruction and learning is introduced in pedagogy-based learning-teaching perspective. It covers digital library resources, AI-based tools, data analysis techniques, and NLP and NLU-powered smart assistants. Students will realize their improved efficacy through use of expandable AI systems improve educational efficiency, automate repetitive chores, and enable personalized learning. The course offers useful skills for implementing contemporary AI methods in educational institutions, classrooms, and online learning settings.
This book provides concise summary of forthcoming Intelligent Tools and Techniques that are using AI-based Learning-Teaching systems to shape contemporary education. It describes how NLP and NLU applications enhance intelligent teaching assistants, showcases sophisticated library resources for promoting informal learning. The book delivers a succinct but thorough approach for implementing scalable, effective, intelligent solutions that improve learning environments across a variety of educational settings through focused insights into educational data analysis and frameworks for expandable AI.
Teachers, researchers, and students who wish to apply intelligent technology in the classroom are the target audience for this book. It works well for developers making intelligent learning tools, librarians overseeing digital resources, and educators investigating AI-based approaches. The book provides clear instructions on using AI, data analysis, and intelligent systems to enhance teaching, learning, and educational resource management, which will be beneficial to academic institutions, policymakers, and EdTech experts.
Key features:
- Contains applications of machine learning in performance analysis of students, which is helpful in designing rubrics for accreditation.
- Deals with comparative study about outcome-based education and conventional educational system through application of statistical techniques.
- Analyses role of emotional intelligence in measuring holistic performance of students
- Evaluates different pedagogical approaches like active, authenticate, flipped, blended learning using neural network approaches.
- Proposes different mathematical models for implementation of OBE for technical Institutions.
商品描述(中文翻譯)
使用智能技術來增強教學和學習的概念在以教學法為基礎的學習-教學視角中被介紹。內容涵蓋數位圖書館資源、基於人工智慧的工具、數據分析技術,以及自然語言處理(NLP)和自然語言理解(NLU)驅動的智能助手。學生將通過使用可擴展的人工智慧系統來提高學習效率,自動化重複性工作,並實現個性化學習。這門課程提供了在教育機構、教室和線上學習環境中實施當代人工智慧方法的有用技能。
本書提供了即將推出的智能工具和技術的簡明總結,這些工具和技術使用基於人工智慧的學習-教學系統來塑造當代教育。它描述了NLP和NLU應用如何增強智能教學助手,展示了促進非正式學習的先進圖書館資源。本書提供了一種簡潔但全面的方法,通過對教育數據分析的深入見解和可擴展人工智慧的框架,實施可擴展的、有效的智能解決方案,以改善各種教育環境中的學習環境。
本書的目標讀者是希望在教室中應用智能技術的教師、研究人員和學生。它非常適合開發智能學習工具的開發者、負責數位資源的圖書館員,以及研究基於人工智慧的方法的教育工作者。本書提供了使用人工智慧、數據分析和智能系統來增強教學、學習和教育資源管理的清晰指導,這將對學術機構、政策制定者和教育科技專家有益。
主要特點:
- 包含機器學習在學生表現分析中的應用,這對於設計認證標準非常有幫助。
- 通過應用統計技術,處理基於成果的教育與傳統教育系統的比較研究。
- 分析情緒智力在衡量學生整體表現中的角色。
- 評估不同的教學方法,如主動學習、真實學習、翻轉學習和混合學習,使用神經網絡方法。
- 提出不同的數學模型以實施技術機構的基於成果的教育(OBE)。
作者簡介
Anirban Mukherjee has a Bachelors in Civil Engineering (1994) from Jadavpur University, Kolkata and PhD from Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, India. He has been a Professor in the Department of Information Technology at RCC Institute of Information Technology, Kolkata, India for the past 24 years teaching engineering and management and more than 14 years of experience in academic administration including accreditation of academic programs. His research interests include Computer Graphics, Computational Intelligence, Optimization and Digital Pedagogy. He has co-authored 2 UG engineering (CSE) textbooks and 18 books on Distance Learning Programs of BBA/MBA/BCA/MCA courses of different Universities across India. Besides authoring several papers/chapters published in journals, books, and conferences he is the co-editor of 8 edited books published by international publishers. He is a life member of the Computer Society of India and Fellow of Institution of Engineers (India) and Science Association of Bengal (SAB).
Arpan Deyasi is an Associate Professor in the Department of Electronics and Communication Engineering in RCC Institute of Information Technology, Kolkata, India. He has over 18 years of professional experience in academia and industry. He has a B.Sc. in Physics (Hons), B.Tech and M.Tech in Radio Physics and Electronics, all from University of Calcutta and PhD from Maulana Abul Kalam Azad University of Technology, India in Nanoelectronics. His work spans around in the field of semiconductor nanostructure, semiconductor photonics, and education technology. He has published over 200 peer-reviewed research papers and edited 8 books, and 2 are in press. He has completed two funded projects as a P.I., and another 2 are ongoing. He has already served as technical consultants of various industrial projects. He is associated with different conferences in various aspects, and also serving as Guest Editor of a renowned journal. He is senior member of IEEE, Chair of IEEE Electron Device Society (Kolkata Chapter), Fellow of IE(I), IETE, ISVE. Dr. Deyasi has received several professional awards including Pedagogical field for his performance in SWAYAM-NPTEL.
Soumen Mukherjee has a B.Sc. (Physics Honours) from Calcutta University, MCA from Kalyani University, and ME in Information Technology from West Bengal University of Technology, India. He is a silver medallist in the ME in Information Technology at West Bengal University of Technology (now MAKAUT). He has a Postgraduate Diploma in Business Management from the Institute of Management Technology, Center of Distance Learning, Ghaziabad, India and a PhD in Computer Science from West Bengal State University. He is an Associate Professor, IT Department at RCC Institute of Information Technology, Kolkata, India. He has more than 20 years of teaching experience in the field of information technology, computer science, and applications. He has around 60 research papers published in different important journals, conferences and more than 10 book chapters in different books by major publishers. He has contributed to over 20 books and edited 3 book volumes. He has served as Program and Editorial Chair in International Conference ICCSE 2016 proceedings. He is also served as a reviewer in some reputed journals and prestigious conferences. He got two best paper awards at international and national conferences. His research fields are image processing, soft computing, machine learning, and pedagogy. He is a life member of several institutions like ISCA, CSI, ISTE, and FOSET. He is a Fellow of IETE.
Pampa Debnath is an Assistant Professor in the Department of Electronics and Communication Engineering in RCC Institute of Information Technology, Kolkata, INDIA. She has more than 15 years of professional teaching experience in academics. Her research interests cover Microwave devices, Microstrip Patch antennas, Photonic crystal based integrated circuit, and education technology. She has published several peer-reviewed research papers in journals, conferences, and a few edited volumes. She has already served as an Editor and also as a technical chair of an ICCSE 2016, coordinated a few Faculty Development Programmes, Workshops, Laboratory and Industrial visits, seminars and technical events under the banner of The Institution of Engineers (INDIA) Kolkata section. She has served as a reviewer of some reputed journals and conferences. Prof. Debnath is a member of The Institution of Electronics and Telecommunication Engineers (IETE), Indian Society for Technical Education (ISTE), International Association for Engineers (IAENG).
Lidia Ghosh (Gold-Medalist, M.Tech., JU) is an Assistant Professor in the Department of Computer Application at the RCC Institute of Information Technology, India. She was a Postdoctoral Fellow at Liverpool Hope University, UK, and has received multiple prestigious fellowships, including the Rashtriya Uchchatara Shiksha Abhiyan Doctoral Fellowship. She has published over 50 research papers and serves as a reviewer for top IEEE journals. Her research focuses on Cognitive Neuroscience, Deep Learning, Type-2 Fuzzy Sets, and Human Memory Formation.
作者簡介(中文翻譯)
Anirban Mukherjee 擁有加爾各答雅達浦大學的土木工程學士學位(1994年)及印度工程科學與技術學院(IIEST)西布爾的博士學位。他在印度加爾各答的RCC資訊技術學院資訊技術系擔任教授已有24年,教授工程與管理,並擁有超過14年的學術行政經驗,包括學術課程的認證。他的研究興趣包括計算機圖形學、計算智能、優化和數位教學法。他共同編寫了2本本科工程(CSE)教科書和18本有關印度不同大學的BBA/MBA/BCA/MCA課程的遠程學習計劃書籍。除了撰寫多篇發表於期刊、書籍和會議的論文/章節外,他還是8本由國際出版社出版的編輯書籍的共同編輯。他是印度計算機學會的終身會員,並且是印度工程師學會(IE)和孟加拉科學協會(SAB)的院士。
Arpan Deyasi 是印度加爾各答RCC資訊技術學院電子與通信工程系的副教授。他在學術界和工業界擁有超過18年的專業經驗。他擁有加爾各答大學的物理學(榮譽)學士學位、無線物理與電子學的B.Tech和M.Tech學位,以及印度毛拉納·阿布·卡拉姆·阿扎德科技大學的納米電子學博士學位。他的工作涵蓋半導體納米結構、半導體光子學和教育技術等領域。他已發表超過200篇經過同行評審的研究論文,並編輯了8本書籍,其中2本正在出版中。他作為主要研究者完成了兩個資助項目,另外兩個項目正在進行中。他已經擔任多個工業項目的技術顧問,並參與各種會議,還擔任著名期刊的客座編輯。他是IEEE的高級會員,IEEE電子器件學會(加爾各答分會)的主席,IE(I)、IETE和ISVE的院士。Deyasi博士因在SWAYAM-NPTEL的表現而獲得多個專業獎項,包括教學領域的獎項。
Soumen Mukherjee 擁有加爾各答大學的物理學(榮譽)學士學位、卡利亞尼大學的MCA學位,以及印度西孟加拉科技大學的資訊技術碩士學位。他在西孟加拉科技大學(現為MAKAUT)的資訊技術碩士學位中獲得銀牌。他擁有來自印度加齊亞巴德管理科技學院的商業管理研究生文憑,以及來自西孟加拉州立大學的計算機科學博士學位。他是印度加爾各答RCC資訊技術學院IT系的副教授。在資訊技術、計算機科學及其應用領域擁有超過20年的教學經驗。他在不同重要期刊和會議上發表了約60篇研究論文,並在主要出版社的不同書籍中撰寫了超過10章書籍。他參與了超過20本書籍的編寫並編輯了3本書籍。他曾擔任國際會議ICCSE 2016的程序和編輯主席,並在一些知名期刊和著名會議中擔任審稿人。他在國際和國內會議中獲得了兩個最佳論文獎。他的研究領域包括影像處理、軟計算、機器學習和教學法。他是多個機構的終身會員,如ISCA、CSI、ISTE和FOSET。他是IETE的院士。
Pampa Debnath 是印度加爾各答RCC資訊技術學院電子與通信工程系的助理教授。她在學術界擁有超過15年的專業教學經驗。她的研究興趣涵蓋微波器件、微帶天線、基於光子晶體的集成電路和教育技術。她在期刊、會議和幾本編輯書籍中發表了多篇經過同行評審的研究論文。她曾擔任ICCSE 2016的編輯和技術主席,協調過幾個教師發展計劃、研討會、實驗室和工業參觀、研討會及技術活動,這些活動均在印度工程師學會(INDIA)加爾各答分會的旗幟下進行。她曾擔任一些知名期刊和會議的審稿人。Debnath教授是電子與電信工程師學會(IETE)、印度技術教育學會(ISTE)和國際工程師協會(IAENG)的成員。
Lidia Ghosh (金牌得主, M.Tech., JU) 是印度RCC資訊技術學院計算機應用系的助理教授。她曾是英國利物浦霍普大學的博士後研究員,並獲得多個著名獎學金,包括國家高等教育計劃博士獎學金。她已發表超過50篇研究論文,並擔任頂級IEEE期刊的審稿人。她的研究重點在於認知神經科學、深度學習、二型模糊集和人類記憶形成。