以教学行为为关键线索的智慧校园探究

如何以平台数据为驱动来实现智慧教育教学,是国内外智慧校园建设亟待解决的一个重要问题。文章将教学行为作为智慧业务实施的关键线索,剖析了教学过程的参与对象和相关的"教"行为、"学"行为,按照工程设计规范,设计了智慧校园的对象模型和功能模型;同时,在智慧校园中引入学习分析机制,进行了智慧校园数据的统计与应用、流程的跟踪和监控、分析结果的预测和决策等。在此基础上,文章提出了包含教学行为、资源管理、教学环路、智慧决策、教学评价等五大模块的智慧校园架构方案,可为教育大数据背景下建设智慧校园、实现智慧教育教学提供有效思路。

Research on Smart Campus with Teaching Behaviors as Key Clues

How to use platform data as the driving force to realize intelligent education and teaching is an important problem needed to be solved in the construction of smart campus at home and abroad. This paper took teaching behaviors as key clues of the implementation of smart business, analyzed the participants in the teaching process and relevant "teaching" behaviors and "learning" behaviors, and designed the object model and function model of smart campus according to the engineering design specification. Meanwhile, the learning analysis mechanism was introduced into the smart campus, and conducted statistics and application of smart campus data, and process tracking and monitoring, prediction and decision-making of analysis results and so on. On this basis, a smart campus architecture scheme including five modules of teaching behavior, resource management, teaching loop, smart decision and teaching evaluation was put forward, which could provide effective idea for building smart campus and realizing smart education and teaching under the context of education big data.