CHI TIẾT NGHIÊN CỨU …
Tiêu đề
How early is early enough: Correlating student performance with final grades
Tác giả
Pittman J.M.; Titus K.; Williams L.
Năm xuất bản
2021
Source title
Journal of Higher Education Theory and Practice
Số trích dẫn
0
DOI
10.33423/jhetp.v21i6.4370
Liên kết
Tóm tắt
Student retention is one of the greatest challenges facing computer science programs. Difficulties in an introductory programming class often snowball, resulting in poor student performance or dropping the major completely. In this paper, we present an analysis of 197 students over 6 semesters from 11 sections of an introductory programming class at a private four-year liberal arts university in the southeastern United States. The goal of this research was to find the earliest point in the assessment sequence which could predict final grade outcomes. Accordingly, we measured the degree of correlation between student performance on quizzes, labs, programs, and tests compared to final course grade. Overall, the results show a strong positive correlation for all four assessment modalities. These results hold significance for educators and researchers insofar as the body of computing education research is extended by evaluating the relative effectiveness of early semester subsets of each of the four categories of student data to model class outcomes. © 2021, North American Business Press. All rights reserved.
Từ khóa
Educational data mining; Grades; Learning analytics; Retention; Student performance
Tài liệu tham khảo
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Nơi xuất bản
North American Business Press
Hình thức xuất bản
Article
Open Access
All Open Access; Bronze Open Access
Nguồn
Scopus