Investigating Student Profiles Related to Academic Learning Achievement

Yicong LIANG, Haoran XIE, Di ZOU, Fu Lee WANG*

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review


In this paper, we aim to identify the key attributes from secondary school students’ profiles that affect learning achievement. In particular, this work investigates and compares how demographics, school-related features and social-related features in student profiles are associated with academic success or failure in the maths final exam. The experiment is conducted on a real-world dataset, and we find that parents’ education and occupation background, students’ motivation and past academic records, and socializing with friends are highly associated with final learning performance. Finally, we summarize the main characteristics of students with high academic potential in secondary school.
Original languageEnglish
Title of host publicationAdvances in Web-Based Learning – ICWL 2023 - 22nd International Conference, ICWL 2023, Proceedings
EditorsHaoran XIE, Chiu-Lin LAI, Wei CHEN, Guandong XU, Elvira POPESCU
PublisherSpringer Singapore
Number of pages10
ISBN (Electronic)9789819983858
ISBN (Print)9789819983841
Publication statusPublished - 24 Nov 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14409 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.


  • Educational Data Analysis
  • Learning Analytics
  • Student Performance
  • Student Profiles


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