面向智慧教学的混合式精准教学模式设计与应用

Design and Application of Hybrid Precision Teaching Mode for Intelligent Teaching

智慧教学要求能够充分利用学生线上线下学习数据开展精准教学,现有计算机课程混合式教学未能体现个性化施教效果。为此,面向智慧教学环境下采集全过程多维学习行为数据,设计基于学习行为智能分析的混合式精准教学模式,利用知识图谱、协作推荐算法、多元智能理论分别实现教学目标确定、教学内容推送和教学效果评估,并以典型课程应用过程为例,说明该教学模式能够促进“知识传授”向“能力培养”的转变,有效助力计算机类课程教学效果提升。

Intelligent teaching requires students to make full use of online and offline learning data to carry out accurate teaching. The existing hybrid computer course teaching fails to reflect the personalized teaching effect. In the face of collecting multi-dimensional learning behavior data in the whole process under the intelligent teaching environment, we have designed a hybrid precision teaching mode based on intelligent analysis of learning behavior,and used knowledge maps, collaborative recommendation algorithms, and multiple intelligence theory to achieve the determination of teaching objectives, the push of teaching content, and the evaluation of teaching effects,and taken the typical course application process as an example. It shows that this teaching mode can promote the transformation from “knowledge teaching” to “ability training”, and effectively help improve the teaching effect of computer courses.