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商品描述
This book reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization. It investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics.
Technology and education have drawn closer together over the years as they complement each other within the domain of e-learning, and different generations of online education reflect the evolution of new technologies as researcher and developers continuously seek to optimize the electronic medium to enhance the effectiveness of e-learning. Artificial intelligence (AI) for e-learning promises personalized online education through a combination of different intelligent techniques that are grounded in established learning theories while at the same time addressing a number of common e-learning issues.
This book is intended for education technologists and e-learning researchers as well as for a general readership interested in the evolution of online education based on techniques like machine learning, crowdsourcing, and learner profiling that can be merged to characterize the future of personalized e-learning.
商品描述(中文翻譯)
這本書回顧了一系列人工智慧（AI）方法，這些方法可以通過個性化增值將電子學習提升到一個新水平。它探討了三種方法：通過社交網絡進行的群眾外包；通過機器學習技術進行的用戶分析，以及使用學習分析的個人學習檔案。
隨著時間的推移，科技與教育越來越緊密地結合在一起，因為它們在電子學習領域中相輔相成，而不同世代的在線教育反映了新技術的演變，研究人員和開發者不斷尋求優化電子媒介，以提高電子學習的有效性。人工智慧（AI）在電子學習中的應用承諾通過結合不同的智能技術提供個性化的在線教育，這些技術基於既定的學習理論，同時解決了一些常見的電子學習問題。
本書旨在為教育技術專家和電子學習研究人員提供參考，同時也適合對基於機器學習、群眾外包和學習者分析等技術演變的在線教育感興趣的一般讀者，這些技術可以融合以描繪個性化電子學習的未來。
