| 摘 要: 目前基于信息化、体验式的教学线上和线下课堂，可通过移动端、网页端、嵌入式设备端等捕获大量的 学情行为数据。如何采集这些线上线下产生的各种学情数据，利用采集数据的特点结合主流的大数据应用技术进行处 理、分析和挖掘，并对受教育者或教育机构提供有用的决策信息成为很多研究机构的研究主题。本文基于目前学情分析 系统的发展，引入大数据技术，设计了以Hadoop为核心的学情分析系统，提出了基于学情分析系统的数据挖掘并行算 法分析平台设计，实现了一种基于数据的智慧校园平台。 |
| 关键词: 学情数据；大数据技术；数据挖掘；平台设计 |
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中图分类号: TP301
文献标识码: A
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| 基金项目: 本文受广东省科技计划项目(2017A040406001)，广东东软学院(基于大数据应用技术的智慧校园平台研究基金资助. |
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| Analysis and Design of the Academic Analysis System Based on Big Data Application Technology |
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LI Qiang,ZHAO Chenjie,LUO Xianlu1,2
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1.( 1.Department of Computer Science, Guangdong Neusoft University, Foshan 528225, China;2.
2.Beijing Branch, Jiangsu Chuan Chi Podcast Education Technology Co., Ltd., Beijing 100096, China)
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| Abstract: At present,information-based and experiential teaching online and offline classrooms can capture a large amount of academic behavior data through mobile terminals,web pages,and embedded devices.The topics in many research institutions includes how to collect the various academic data generated online and offline,and how to use the characteristics of the collected data in combination with mainstream big data application technologies to process,analyze,and mine useful information for decision-making by educators or educational institutions.Based on the development of the current academic behavior analysis system,this paper introduces big data technology,designs an academic behavior analysis system based on Hadoop,proposes a design of an analysis platform of data mining parallel algorithm based on academic behavior analysis system,and implements a data-based smart campus platform. |
| Keywords: academic data;big data technology;data mining;platform design |
