Identifying Key Features in Student Grade Prediction

Jiaqi Cui, Yupei Zhang, Rui An, Yue Yun, Huan Dai, Xuequn Shang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

With the development of education data mining and the data of academic affairs accumulated, the performance of students in school could be analyzed from different views and explore more precious aspects which influence the grades of students. Our research conducts data mining on student basic courses information, learning behavior information and admission information, which will help to find the relationship between them. This work mainly focus on exploring the key features that take the important roles in student academic performance. Then the work takes the consider of identifying the relationship between student behaviors and their grades. By using the advanced machine learning methods and feature analysis methods, LASSO, the work rated the most important features of student behaviors. We found several key relationships between student behaviors and their grades, for example, the more books one borrows, the better grade he/she will get. This work would help the educators and students to better understand the relationship between connotative factors and the student achievement.

Original languageEnglish
Title of host publicationProceedings of the 2021 IEEE International Conference on Progress in Informatics and Computing, PIC 2021
EditorsYinglin Wang, Zheying Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages519-523
Number of pages5
ISBN (Electronic)9781665426558
DOIs
StatePublished - 2021
Event8th IEEE International Conference on Progress in Informatics and Computing, PIC 2021 - Virtual, Online, China
Duration: 17 Dec 202119 Dec 2021

Publication series

NameProceedings of the 2021 IEEE International Conference on Progress in Informatics and Computing, PIC 2021

Conference

Conference8th IEEE International Conference on Progress in Informatics and Computing, PIC 2021
Country/TerritoryChina
CityVirtual, Online
Period17/12/2119/12/21

Keywords

  • association analysis
  • EDM
  • grade prediction
  • LASSO
  • student behaviors

Fingerprint

Dive into the research topics of 'Identifying Key Features in Student Grade Prediction'. Together they form a unique fingerprint.

Cite this