Recommender Systems for Technology Enhanced Learning: Research Trends and Applications(Hardcover)
暫譯: 技術增強學習的推薦系統：研究趨勢與應用（精裝版）
y Nikos Manouselis (Editor), Hendrik Drachsler (Editor), Katrien Verbert (Editor), Olga C. Santos (E
相關主題
商品描述
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.
Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.
Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
商品描述(中文翻譯)
作為一個領域，技術增強學習（Technology Enhanced Learning, TEL）旨在設計、開發和測試社會技術創新，以支持和增強個人和組織的學習實踐。資訊檢索在 TEL 中是一項關鍵活動，而推薦系統的部署在過去幾年中引起了越來越多的關注。
推薦方法、技術和系統為促進和支持學習與教學提供了一種有趣的新方法。目標是開發、部署和評估系統，為學習者和教師提供有意義的指導，以幫助他們從潛在的眾多選擇中識別合適的學習資源。
貢獻涵蓋以下主題：i) 可用於支持學習推薦系統和場景的用戶和項目數據，ii) 在教育環境中用於推薦目的的創新方法和技術，以及 iii) 包含推薦的教育平台和工具的範例。
