基于学习者画像的远程在线学习预警机制研究
杨世鉴
国家开放大学 经管管理教学部, 北京 100039
起止页码: 28--34页
DOI:
摘要：
近十年来，随着国家政策、社会投入以及学习者自身学习方式的转变，网络在线教育得以迅猛发展，同时网络教育教学质量问题也引发社会各界的关注。如何能够使学习者获得更好的学习体验，关注学习者个体的学习感受，开展有针对性的个性化学习支持服务，是提升教学质量重点考虑的内容。由于学习者个体的差异，即使在同一学习环境和学习支持服务条件下，学习者的反应也并不完全一致，甚至出现较大的差异。因此研究学习者个体差异对学习行为的影响具有现实意义，尤其是基于学习者画像视角，通过研究学习者背景特征，可以进一步分析出学习者的个体差异在网络学习中的具体表现，为开展有针对性的教学支持服务提供依据。
Study on the Early Warning Mechanism of Online Learning Based on Learner Portrait
YANG Shi-jian
Department of Economics and Management, The Open University of China, Beijing 100039, China
Abstract:
In the last decade, with the change of national policies, social input and learners' own learning styles, online education has been developing rapidly. At the same time, the quality of online education has also aroused the attention of all sectors of society. How to enable learners to get a better learning experience, pay attention to learners' individual learning experience, and develop targeted and personalized learning support services are the key considerations for improving teaching quality. Due to individual differences of learners, even under the same learning environment and learning support services, learners' responses are not completely inconsistent, or even greatly different. Therefore, it is of practical significance to study the influence of individual differences of learners on learning behavior, especially from the perspective of learners' portrait. By studying the characteristics of learners' background, the specific realization of individual differences of learners in online learning can be further analyzed, so as to provide a basis for carrying out targeted teaching support services.
收稿日期: 2020-09-24
基金项目: 北京市成人教育学会2020-2021年度科研立项课题《远程在线学习预警和干预机制研究》（CRZ2119）
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