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

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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。

关键词：大数据；精准教学；计算机组成原理；超星学习通

doi：10.3969/J.ISSN.1672-7274.2024.09.078

中图分类号：G 712.4；TM 1-4；TN 0-4              文献标志码：A          文章编码：1672-7274（2024）09-0-03

Research on Precision Teaching Model Based on Big Data

--Taking the Course of Computer Composition Principles as an Example

LUO Xiaogang

（School of Intelligent Technology， Geely University， Chengdu 641423， China）

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.

Keywords： big data; precision teaching; principles of computer composition; Chaoxing Learning Pass

0   引言

本研究以《计算机组成原理》这一计算机专业的核心课程为切入点，探索基于大数据的精准教学模式，以期通过深入分析学生的学习数据和教学反馈，构建一个更加贴合学生需求、高效且个性化的教学体系。（剩余4228字）