Rachel Harred

College of Engineering

Works (1)

Updated: April 5th, 2024 18:33

2023 article

Do Intentions to Persist Predict Short-Term Computing Course Enrollments? A Scale Development, Validation, and Reliability Analysis

PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023, pp. 1062–1068.

By: R. Harred n, T. Barnes n, S. Fisk *, B. Akram n, T. Price n  & S. Yoder  n

author keywords: Persistence; enrollment; validated scale; introductory computer science
TL;DR: A scale to measure intentions to persist in computing is developed and validated, and its use in predicting actual persistence as defined by enrolling in another computer science course within two semesters is demonstrated. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 4, 2023

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.