Challenges Students Identify in Introductory Computer Science Courses From a Self-Regulation Learning Perspective (Poster 3)

• In Event: Thursday Poster Session 12:40 pm
  In Poster Session: Engineering and Computer Science Education Posters

Abstract

Self-regulated learning (SRL) provides a useful framework for understanding how students utilize different learning strategies. The present study incorporates SRL in order to understand how students enrolled in introductory computer science (CS) courses overcome the different challenges they face in those courses. Results show that lower-performing students face greater and more diverse learning challenges compared to higher-performing students. However, students at all performance levels utilize SRL strategies to overcome the challenges they encounter. These findings are important for CS instructors and researchers because they provide insight into how to support students’ SRL, which can promote their learning and persistence within CS.

Authors

• Hye Rin Lee, University of Georgia

• Kevin Francisco Ramirez, University of California - Berkeley

• Teomara Rutherford, University of Delaware

• Austin Cory Bart, University of Delaware