Predicting success in a first programming course-Reference-Cited by-同舟云学术

Predicting success in a first programming course

Published:1982-02 Issue:1 Volume:14 Page:147-150
ISSN:0097-8418
Container-title:ACM SIGCSE Bulletin
language:en
Short-container-title:SIGCSE Bull.

Author:

Leeper R. R.¹,Silver J. L.¹

Affiliation:

1. Department of Computer Technology, Purdue University at Fort Wayne, Fort Wayne, Indiana

Abstract

The results of a study to develop a predictor of success in a first programming course are presented. The predictor is based on data currently available for a substantial number of students and is tailored to the local program. This predictor is developed using data from a group of students who took the course in the fall of 1980. The results obtained by applying the predictor to a second group of students who took the course in the fall of 1981 are compared with these students' actual grades.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/953051.801357

Reference2 articles.

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Testing Programming Aptitude through Commonsense Computing;Proceedings of the 26th Australasian Computing Education Conference;2024-01-29

2. Predicting Students’ Outcome in an Introductory Programming Course: Leveraging the Student Background;Applied Sciences;2023-11-03

3. Using machine learning techniques to predict academic success in an introductory programming course;2022 41st International Conference of the Chilean Computer Science Society (SCCC);2022-11-21

4. Prediction of Students Programming Performance Using Naïve Bayesian and Decision Tree;Advances in Intelligent Systems and Computing;2022-09-30

5. PreSS;Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1;2022-07-07