Scenario Design of Intelligent SPOC Knowledge Farm Based on Flexible Learning

Huangxing Zeng
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引用次数: 2

Abstract

Flexible learning is based on studying learners' psychology and behavior, using the principle of flexible management and flexible decision-making and adopting the mode of flexible contingency thinking to transform the will of teaching organizers into learners' conscious behavior through imperceptible change and cultivation. Flexible learning model can solve the problems, such as short of innovation, weak autonomy and lack of collective learning atmosphere, existing in network education. This paper introduces the concept and mechanism of flexible learning in the SPOC (Small Private Online Course), relies on big data and intelligent technology, optimizes the design of SPOC platform architecture, and arranges a series of interactive learning sites with the community interface of Knowledge Farm, and finally, constructs the learning situation of a multi-level, three-dimensional intelligent SPOC game.
基于柔性学习的智能SPOC知识农场场景设计
灵活学习是在研究学习者心理和行为的基础上,运用灵活管理和灵活决策的原则,采用灵活的权变思维模式,通过潜移默化的改变和培养,将教学组织者的意志转化为学习者的自觉行为。灵活的学习模式可以解决网络教育中存在的创新能力不足、自主性弱、缺乏集体学习氛围等问题。本文引入了SPOC (Small Private Online Course)灵活学习的概念和机制,依托大数据和智能技术,优化SPOC平台架构设计,利用Knowledge Farm的社区界面布置一系列互动学习站点,最终构建了多层次、三维智能SPOC游戏的学习情境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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