基于智能学习环境的大数据课程设计与教学实践

Yanbo Sun
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引用次数: 0

摘要

本文提出了一种基于大数据的智能学习系统模型。系统模型以大数据架构为基础,结合自适应通用学习模型,通过教育大数据和学习分析技术为学习者和教师学习提供信息辅助和技术支持。在总体设计框架的基础上,提出了基于多模态数据的学习预警系统模型和干预机制过程模型。实验研究表明,该智能学习系统模型可以解决教学资源管理和各种在线课程的建设与应用。帮助学校提高教学质量,提高教学效率,简化教学管理,促进教学改革。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data Curriculum Design and Teaching Practice Based on Smart Learning Environment
This article proposes a smart learning system model based on big data. The system model is based on a big data architecture, combined with an adaptive general learning model, and provides information assistance and technical support for learners and teachers to learn through education big data and learning analysis technology. And based on the overall design framework, a learning early warning system model based on multi-modal data and an intervention mechanism process model are proposed. Experimental research shows that the intelligent learning system model can solve teaching resource management and the construction and application of various online courses. Help schools improve teaching quality, improve teaching efficiency, simplify teaching management, and promote teaching reform.
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