Understanding Sources of Student Struggle in Early Computer Science Courses

Computer science students struggle in early computing courses as evinced by high failure rates and poor retention. As such, studies have attempted to characterize the root of student struggles from many perspectives, including cognitive, meta-cognitive, and social emotional. Typically, studies have limited their inquiry to a specific perspective or a single course. This paper reports the results of a broad student experience survey conducted across several computer science courses. Through a periodic survey, students rated various cognitive, socio-emotional, external, personal, and structural barriers in terms of how much each impacted their learning throughout the term. An exploratory factor analysis of these questions revealed four factors—personal obligations, lack of sense of belonging, in-class confusion, and lack of confidence—that capture a range of possible struggles students may face. We analyzed the prevalence of these factors across courses, performance quartiles, and demographic groups broken down by gender, race/ethnicity, and matriculation status. Students in lower performance quartiles report higher stress levels on multiple factors, with statistically significant differences found between all quartiles and courses, for most factors. Moreover, students from traditionally underrepresented groups report struggling more across all four factors, suggesting that they may be facing more challenges than classmates from represented populations. Overall, these findings indicate that student struggles are associated with stresses from many areas of their lives, suggesting that future interventions should target multiple areas of stress.