Learning Analytics: Shaping the Future of Education with Data Science
暫譯: 學習分析：利用數據科學塑造教育的未來
Wajid, Mohd Anas, Camacho-Zuñiga, Claudia
- 出版商: CRC
- 出版日期: 2026-06-05
- 售價: $4,680
- 貴賓價: 9.5 折 $4,446
- 語言: 英文
- 頁數: 282
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041151934
- ISBN-13: 9781041151937
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相關分類:
Data-visualization、Machine Learning、駭客 Hack
尚未上市，無法訂購
相關主題
商品描述
This book explores how data science, which involves preparing, analyzing, visualizing, and interpreting data, can revolutionize the field of education. The authors delve into how schools and universities can analyze data to improve teaching methods, enhance student learning, and design effective evaluations.
Learning Analytics: Shaping the Future of Education with Data Science examines how machine learning algorithms can analyze individual student performance data to tailor personalized adaptive learning paths, ensuring the best educational experience. Through real-world examples, this book discusses how valuable insights and opportunities can be gained through the application of data science in educational environments. The authors discuss the application of natural language processing (NLP) to analyze educational content, providing insights into language usage, comprehension levels, and improving the effectiveness of instructional materials and examines computer vision in classroom dynamics to measure student engagement. The book also exposes the reader to the crucial role of cybersecurity in safeguarding sensitive student and institutional information, ensuring a secure learning environment, and protecting against cyber threats. It also addresses the ethical considerations and privacy concerns associated with collecting, analyzing, and making decisions from educational data. Finally, it emphasizes the importance of responsible practices to protect the rights and well-being of students and educators.
The book is intended for engineers from computer science, government policymakers, institutions, and educational stakeholders. It shows how computer science, statistics, and data can personalize learning, improve educational tools, enhance classroom dynamics, secure academic records with blockchain, and ensure online safety.
商品描述(中文翻譯)
這本書探討了數據科學如何透過準備、分析、視覺化和解釋數據，徹底改變教育領域。作者深入研究學校和大學如何分析數據以改善教學方法、提升學生學習效果，並設計有效的評估。
《學習分析：用數據科學塑造教育的未來》探討了機器學習算法如何分析個別學生的表現數據，以量身定制個性化的自適應學習路徑，確保最佳的教育體驗。通過實際案例，本書討論了在教育環境中應用數據科學所能獲得的寶貴見解和機會。作者還討論了自然語言處理（NLP）在分析教育內容中的應用，提供語言使用、理解水平的見解，並改善教學材料的有效性，並檢視計算機視覺在課堂動態中的應用，以衡量學生的參與度。本書還讓讀者了解網絡安全在保護敏感學生和機構信息中的關鍵角色，確保安全的學習環境，並防範網絡威脅。它還涉及收集、分析和基於教育數據做出決策所涉及的倫理考量和隱私問題。最後，它強調了負責任的做法對於保護學生和教育工作者的權利與福祉的重要性。
本書適合計算機科學工程師、政府政策制定者、機構及教育相關利益相關者。它展示了計算機科學、統計學和數據如何個性化學習、改善教育工具、增強課堂動態、利用區塊鏈保障學術記錄安全，並確保線上安全。
作者簡介
Dr. Mohd Anas Wajid is a Post Doctoral Research Associate in Data Science at TEC de Monterrey, Mexico. He received his PhD degree in Computer Science from Aligarh Muslim University, India. He was awarded with the MITACS-SICI Globalink Research Award by Mitacs in collaboration with HRD ministry, Government of India to do a project at the University of Athabasca, Edmonton, Alberta, Canada. The ACM India Council named him an ACM India Anveshan Setu Fellow, and he received a fellowship to conduct a part of his research at IIIT-Delhi. His contribution to Neutrosophic research earned him a Diploma from the Neutrosophic Science International Association (NSIA), University of New Mexico, United States (USA). He has keen interest in Soft Computing, Machine Learning, Data Science, Information Retrieval, and Neutrosophy. He has academic as well as industrial experience.
Prof. Claudia Camacho-Zuñiga is a researcher at the Institute for the Future of Education and a professor at the School of Engineering at Tecnologico de Monterrey, Mexico. She is a leader in research, innovation, and transformation in higher education with over 29 years of experience in the field. Since 2014, Professor Camacho-Zuñiga has been a driving force in educational innovation and research in Mexico and Latin America; she has leveraged her expertise in teaching and data science tools to foster a passion for science, ethical and civic engagement, and appreciation for diversity of knowledge and people among undergraduate students and academia.
作者簡介(中文翻譯)
穆罕默德·阿納斯·瓦吉德博士是墨西哥蒙特雷科技大學數據科學的博士後研究助理。他在印度阿里格爾穆斯林大學獲得計算機科學博士學位。他獲得了由Mitacs與印度政府人力資源發展部合作頒發的MITACS-SICI Globalink研究獎，以便在加拿大艾伯塔省埃德蒙頓的阿薩巴斯卡大學進行一個項目。ACM印度委員會將他命名為ACM印度Anveshan Setu研究員，他獲得了一項獎學金，以在德里印度信息技術學院進行部分研究。他在中立論（Neutrosophy）研究方面的貢獻使他獲得了美國新墨西哥大學中立科學國際協會（NSIA）頒發的文憑。他對軟計算、機器學習、數據科學、信息檢索和中立論有濃厚的興趣，並擁有學術和工業經驗。
克勞迪亞·卡馬喬-祖尼加教授是未來教育研究所的研究員，也是墨西哥蒙特雷科技大學工程學院的教授。她在高等教育領域擁有超過29年的經驗，是研究、創新和轉型的領導者。自2014年以來，卡馬喬-祖尼加教授一直是墨西哥和拉丁美洲教育創新和研究的推動力；她利用自己在教學和數據科學工具方面的專業知識，激發本科生和學術界對科學的熱情、道德和公民參與，以及對知識和人員多樣性的欣賞。
