Manipulating mindset to positively influence introductory programming performance
Quintin I. Cutts, Emily Cutts, STEPHEN W. DRAPER, Patrick J. O'Donnell, Peter Saffrey · 2010
Introductory programming classes are renowned for their high dropout rates. The authors propose that this is because students learn to adopt a fixed mindset towards programming. This paper reports on a study carried out with an introductory programming class, based on Dweck's mindset research. Combinations of three interventions were carried out: tutors taught mindset to students; growth mindset feedback messages were given to students on their work; and, when stuck, students were encouraged to use a crib sheet with pathways to solve problems. The study found that the mixture of teaching mindset and giving mindset messages on returned work resulted in a significant change in mindset and a corresponding significant change in test scores - improvements in test scores were found in a class test given immediately after the six-week intervention and at the end-of-year exam. The authors discuss the results and the strengths and weaknesses of the study.