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From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning

机译:从理想到现实:分割,注释和推荐,智能微观学习的重要轨迹

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摘要

The soaring development of Web technologies and mobile devices has blurred time-space boundaries of people's daily activities. Such development together with the life-long learning requirement give birth to a new learning style, micro learning. Micro learning aims to effectively utilize learners' fragmented time to carry out personalized learning activities through online education resources. The whole workflow of a micro learning system can be separated into three processing stages: micro learning material generation, learning materials annotation and personalized learning materials delivery. Our micro learning framework is firstly introduced in this paper from a higher perspective. Then we will review representative segmentation and annotation strategies in the e-learning domain. As the core part of the micro learning service, we further investigate several the state-of-the-art recommendation strategies, such as soft computing, transfer learning, reinforcement learning, and context-aware techniques. From a research contribution perspective, this paper serves as a basis to depict and understand the challenges in the data sources and data mining for the research of micro learning.
机译:Web技术和移动设备的飙升开发具有人们日常活动的时空边界。这种发展与终身学习要求一起生育了新的学习风格,微观学习。微学习旨在通过在线教育资源有效地利用学习者的碎片时间来开展个性化学习活动。微学习系统的整个工作流程可以分为三个处理阶段:微观学习材料生成,学习材料注释和个性化学习材料的交付。我们首先从较高的角度介绍了我们的微观学习框架。然后我们将审查电子学习领域的代表细分和注释策略。作为微观学习服务的核心部分,我们进一步调查了若干先进的推荐策略,例如软计算,转移学习,加强学习和背景感知技术。从研究贡献的角度来看,本文作为描绘和理解数据来源和数据挖掘对微观学习的挑战的基础。

著录项

  • 来源
    《World Wide Web》 |2020年第3期|1747-1767|共21页
  • 作者单位

    School of Computing and Information Technology University of Wollongong Wollongong NSW Australia;

    School of Computing and Information Technology University of Wollongong Wollongong NSW Australia;

    School of Computing and Information Technology University of Wollongong Wollongong NSW Australia;

    School of Computing and Information Technology University of Wollongong Wollongong NSW Australia Research Lab of Electronics Massachusetts Institute of Technology Cambridge MA USA;

    UQ Business School The University of Queensland Brisbane QLD Australia;

    School of Information System and Modelling The University of Technology Sydney Sydney NSW Australia;

    School of Computing and Information Technology University of Wollongong Wollongong NSW Australia;

    Research Lab of Electronics Massachusetts Institute of Technology Cambridge MA USA;

    Faculty of Computer and Information Science Southwest University Chongqing China;

    Data 61 CSIRO Sydney NSW Australia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Micro learning; Video segmentation; Automatic annotation; Recommender system; Machine learning; Data mining;

    机译:微观学习;视频分割;自动注释;推荐系统;机器学习;数据挖掘;

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