Exploring Middle School Students' Interests in Computationally Intensive Science Careers: CISCI Instrument Validation and Intervention

• In Event: AERA Virtual Poster Session 7
  In Poster Session: Division C Section 1d: Science Poster Session 1

Abstract

In this study, we developed and validated a multidimensional instrument called CISCI to measure middle school students’ interests in computationally intensive science careers. We also explored several predictors of students’ interests in such careers and examined the impact of a scientific computational modeling activity on students’ interests. The results revealed that CISCI was a psychometrically valid and reliable instrument. Science and CS attitudes, computational thinking, and prior experience in CS-related activities were found to be significant predictors of CISCI scores. Additionally, computational modeling activity significantly influenced the frequency of students discussing such career paths with their parents. This study underscores the importance of engaging students in CS-integrated science activities to help develop their understanding and interests in computationally-intensive science jobs.

Authors

• Arif Rachmatullah, SRI International

• Eric N. Wiebe, North Carolina State University

• Madeline Hinckle, North Carolina State University