基于大数据的精准教学模式研究——以《计算机组成原理》课程为例
Research on Precision Teaching Model Based on Big Data——Taking the Course of Computer Composition Principles as an Example
罗小刚1
作者信息
- 1. 吉利学院智能科技学院,四川 成都 641423
- 折叠
摘要
该文以《计算机组成原理》这一计算机专业的核心课程为例,探讨了基于大数据的精准教学模式,分析了《计算机组成原理》的教学现状以及存在的挑战和问题,提出并详细阐述了基于大数据的"一星两端三督导"精准教学模式.为了验证该模式的有效性,以吉利学院《计算机组成原理》的九个教学班为例进行了验证.
Abstract
The article takes the core course of computer science,"Principles of Computer Composition,"as an example to explore the precise teaching model based on big data.The study first analyzed the current teaching status of"Principles of Computer Composition"and pointed out the existing challenges and problems.Subsequently,the precise teaching model of"one star,two ends,and three supervision"based on big data was proposed and elaborated in detail.In order to verify the effectiveness of this model,an empirical analysis was conducted using nine teaching classes of Computer Composition Principles at Geely College as examples.
关键词
大数据/精准教学/计算机组成原理/超星学习通Key words
big data/precision teaching/principles of computer composition/Chaoxing Learning Pass引用本文复制引用
基金项目
四川省民办教育协会(研究中心)项目(MBXH23YB83)
出版年
2024
NETL
NSTL
万方数据