相關主題
商品描述
This comprehensive volume explores the possibilities, challenges and ethical considerations of Artificial Intelligence (AI) in education through a machine-generated literature review that examines emerging research trends and findings. Each chapter presents summaries of pre-defined topics and includes a human-written introduction by the book editor. It covers critical areas such as educational data mining, learning analytics, personalised learning, adaptive assessment, intelligent tutoring systems, as well as the ethical challenges of AI in education. This volume provides valuable insights for educators, researchers, policymakers and students seeking to understand the transformative potential of AI in education. It serves as a reference point for navigating the evolving landscape of AI-assisted learning and offers a glimpse into the future of education in an AI-driven world.
The auto-summaries were generated by a recursive clustering algorithm using the Dimensions Auto-summariser from Digital Science. The editor of this book selected the SN content to be auto-summarised and decided the order of appearance. Please note that these are extractive auto-summaries, consisting of original sentences, but are not representative of the original paper, as we do not show the full length of the publication. Please note that only published SN content is represented here and that machine-generated books are still at an experimental stage.
商品描述(中文翻譯)
這本綜合性著作探討了人工智慧（AI）在教育領域中的可能性、挑戰和倫理考量，透過機器生成的文獻回顧來檢視新興的研究趨勢和發現。每一章節都呈現了預先定義主題的摘要，並包含由書籍編輯撰寫的人類導言。內容涵蓋了教育數據挖掘、學習分析、個性化學習、自適應評估、智能輔導系統等關鍵領域，以及AI在教育中所面臨的倫理挑戰。本書為教育工作者、研究人員、政策制定者和學生提供了寶貴的見解，幫助他們理解AI在教育中轉型潛力。它作為導航AI輔助學習不斷演變的環境的參考點，並提供了對於AI驅動世界中教育未來的瞥見。
自動摘要是由使用Digital Science的Dimensions Auto-summariser的遞迴聚類演算法生成的。本書的編輯選擇了要自動摘要的SN內容並決定了出現的順序。請注意，這些是提取式自動摘要，由原始句子組成，但並不代表原始論文，因為我們並未顯示出版物的完整長度。請注意，這裡僅代表已發表的SN內容，且機器生成的書籍仍處於實驗階段。
作者簡介
Myint Swe Khine has more than 30 years of experience in teacher education. He holds master's degrees from the University of Southern California, USA, the University of Surrey, UK, and the University of Leicester, UK, and a doctorate from Curtin University, Australia. He has worked at the National Institute of Education, Nanyang Technological University, Singapore, and was a professor at the Emirates College for Advanced Education in the United Arab Emirates. He serves on the editorial boards of several international academic journals. Throughout his career, he has published over 40 edited books. His most recent volumes include Rhizomatic Metaphor: Legacy of Deleuze and Guattari in Education and Learning (Springer, 2023) and Machine Learning in Educational Sciences: Approaches, Applications and Advances (Springer, 2024). He currently teaches in the School of Education, Curtin University, Australia.
作者簡介(中文翻譯)
Myint Swe Khine 擁有超過 30 年的教師教育經驗。他擁有美國南加州大學、英國薩里大學和英國萊斯特大學的碩士學位，以及澳大利亞科廷大學的博士學位。他曾在新加坡南洋理工大學的國立教育研究院工作，並曾擔任阿聯酋阿聯酋高等教育學院的教授。他在多本國際學術期刊的編輯委員會中任職。在他的職業生涯中，他出版了超過 40 本編輯書籍。他最近的著作包括《Rhizomatic Metaphor: Legacy of Deleuze and Guattari in Education and Learning》（Springer, 2023）和《Machine Learning in Educational Sciences: Approaches, Applications and Advances》（Springer, 2024）。他目前在澳大利亞科廷大學的教育學院任教。
