Predictors of success and failure in a CS1 course

Author:

Rountree Nathan1,Rountree Janet1,Robins Anthony1

Affiliation:

1. University of Otago, Dunedin, New Zealand

Abstract

We present the results of a survey that focuses on the backgrounds and expectations of a group of CS1 students in the first weeks of semester. When comparing their survey answers to their final grades on the course, we saw some surprising things: the group which indicated an intention to continue in computer science did no better than any other, and the strongest single indicator of success seems to be "expecting to get an A from the course."

Publisher

Association for Computing Machinery (ACM)

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1. Replication and Expansion Study on Factors Influencing Student Performance in CS2;Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1;2023-03-02

2. Ultra-Lightweight Early Prediction of At-Risk Students in CS1;Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1;2023-03-02

3. Prior Programming Experience: A Persistent Performance Gap in CS1 and CS2;Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1;2023-03-02

4. Personality as a Predictor of Computer Science Students’ Learning Motivation;Advances in Intelligent Systems and Computing;2023

5. A Review on the Impact of Cognitive Factors in Introductory Programming;Lecture Notes in Electrical Engineering;2023

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