Analysis of Student Performance and Social-economic Data in Introductory Computer Science Courses at the University of Brasília-Reference-Cited by-同舟云学术

Analysis of Student Performance and Social-economic Data in Introductory Computer Science Courses at the University of Brasília

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Frontiers in Education Conference (FIE)
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Author:

Fonseca Silveira Rodrigo¹,Holanda Maristela²,Ramos Guilherme N.¹,Victorino Marcio³,Da Silva Dilma⁴

Affiliation:

1. University of Brasilia,Depart. of Computer Science,Brasilia,Brazil

2. University of Brasília,Depart. of Computer Science,Brasília,Brazil

3. University of Brasilia,Faculty of Information Science,Brasilia,Brazil

4. Texas A&M University,Depart. of Computer Science and Engineering,College Station,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9962306/9962373/09962408.pdf?arnumber=9962408

Reference49 articles.

1. Early detection of university students with potential difficulties

2. A comparative study of classification and regression algorithms for modelling students’ academic performance;strecht;International Educational Data Mining Society,2015

3. Predicting Success for Computer Science Students in CS2 using Grades in Previous Courses

4. Understanding Who Enrolls in Introductory Computing Courses at Community Colleges

5. Moving from managing enrollment to predicting student success

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