Design and Implementation of University Student Behavior Analysis Visualization System based on Big Data

Abstract

Abstract: In the era of big data, it is an inevitable trend to establish a student management analysis system based on the application of big data technology, and it is also an important way to improve the efficiency of student work management. In this paper, starting from the reality of student management, the information of students' grades, attendance, comprehensive quality and book borrowing is collected, extracted, cleaned and converted by ETL tools, and loaded into oracle database for storage and management. Data analysis and mining are carried out by various algorithms such as rule bases, and the results are presented in graphical and graphical form by visual tools (Echarts,etc), thus realizing the construction of intelligent analysis platform for student management of big data application. Practice has proved that by designing and developing the university student behavior analysis and visualization system based on big data, we can accurately diagnose the learning situation, make personalized analysis on learning, make intelligent analysis on decision-making, and give advance warning to violations and disciplines, which greatly improves the management level and education quality of students, and truly realizes teaching students in accordance with their aptitude.

Key words: Big data, University students, Behavioural analysis, Visualization

CLC Number:

TP391

TAO Hongli, ZHANG Jun, YANG Zhongming. Design and Implementation of University Student Behavior Analysis Visualization System based on Big Data[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(3): 163-166.

References

[1] 维克托·迈尔·舍恩伯格,肯尼思·库克耶,著.与大数据同行——学习和教育的未来[M].赵中建,张燕南,译.上海:华东大学出版社,2014.
[2] Emily Bates.UVM Big Data? Aggregating Campus Databases and Creating a Data Warehouse to Improve Student Retention Rates at the University of Vermont[D]. University of Vermont,2015.
[3] Mark B.Reed. Utilizing BIG DATA and SNS to track alcohol use in college students[R].2015 NSF IBSS/CDI Specialist Meeting, 2015.
[4] 范广慧,王威,王松,等.基于大数据的高校学生画像系统探究与设计[J].海峡科技与产业,2020(4):41-44.
[5] 杨茜. 大数据时代河南省高校学生行为分析及对策研究[J].电脑知识与技术,2019,15(27):91-92,107.
[6] 任彦龙,孙绪华,康健.北京建筑大学大数据分析让高校精准掌握学生动态[J].中国教育网络,2019(6):72-74.
[7] 邹玉香. 大数据时代高校学生危机事件管理体系的构建[J].江苏高职教育,2020,20(1):92-97,104.
[8] 尹茂竹. 基于大数据的高校学生学业成绩预警分析[D].天津:天津商业大学,2018.
[9] 邓逢光,张子石.基于大数据的学生校园行为分析预警管理平台建构研究[J].中国电化教育,2017(11):60-64.
[10] 李学龙,郝文英. 基于大数据分析的高校学生失联预警应用研究[A]. 中国计算机用户协会网络应用分会.中国计算机用户协会网络应用分会2018年第二十二届网络新技术与应用年会论文集[C].中国计算机用户协会网络应用分会:北京联合大学北京市信息服务工程重点实验室,2018:3.
[11] 程光胜. 基于大数据的高职学生行为分析[J].职业教育研究,2020(8):76-80.
[12] 徐枫. 大数据环境下高校学生行为综合分析研究[D].甘肃:兰州理工大学,2019.
[13] 韩朵朵,刘会杰,许爱雪.基于Hadoop生态系统的大数据解决方案[J].石家庄铁路职业技术学院学报,2019,18(2):71-75.

[1]	ZHOU Juxuan, ZENG Haiwen. Exploration and Research on E-Commerce Talent Training in the Big Data Era [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(9): 98-100.
[2]	WEN Jing, LIANG Kun. Research on Innovation and Development of Construction Cost Consultation Informationization under Big Data Environment [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(9): 147-148.
[3]	WANG Nan. Exploration on the Construction and Service of Foreign Language Digital Resources in University Libraries under the New Information Technology [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(4): 185-186.
[4]	AN Yujie, WANG Bin, Ramir Austria. Analysis of the Influence of Big Data on Educational Management Decision [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(3): 154-156.
[5]	LI Shengyang. Research on Precise Management of College Students' Work based on Big Data Analysis——Take Nanjing University Jinling College as An Example [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(3): 167-169.
[6]	ZHANG Hui. Research on Teaching Quality Monitoring and Evaluation Based on Big Data [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(14): 31-32.
[7]	HUANG Danlu. Research and Practice of College Students Management under the Background of Big Data [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(12): 138-140.
[8]	NIE Qingqing, LV Junkui, MIAO Li, NUERAILA Yisipili. Investigation and Reflection on the Situation of Students' Innovation and Entrepreneurship under the Background of "Internet Plus"——Take Xinjiang University of Science and Technology as an Example [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(12): 180-182.
[9]	MA Xiaoyan, CHEN Ying. Construction and Application of Precision Teaching Mode Driven by Big Data [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2021, 4(10): 110-112.
[10]	GU Weiyi. Research on the Teaching Strategy of Project-based Learning in Primary School from the Perspective of Big Data [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(9): 19-20.
[11]	CHEN Huihui, ZENG Ruyu, CHENG Huan, ZHANG Manman, ZHANG Haiyan. Research on the Innovation of Teaching Mode of Junior Middle School Biology Examination Paper Teaching and Evaluation Based on Big Data Platform [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(8): 124-127.
[12]	LIU Chunsong. Analysis on "Five Steps" of College Entrance Examination Voluntary Application Based on AI Big Data [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(8): 182-183.
[13]	LAN Shanhua. Discussion on Opportunities, Challenges and Countermeasures of Macroeconomic Development under the Background of Big Data [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(7): 19-21.
[14]	XU Xiaoqin. Discussion on the Teaching Methods of Applied Talents Education in Colleges and Universities Based on the Background of Big Data [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(7): 117-118.
[15]	LIU Li. An Effective Strategy to Improve the Quality of Ideological and Political Education of College Students in the Big Data Environment [J]. The Theory and Practice of Innovation and Enntrepreneurship, 2020, 3(7): 163-164.