Student affect in CS1

Introductory programming: a systematic literature review

“…They concluded that although much work promotes an awareness of student anxieties, there is a need for greater focus and granularity by leveraging tools that can measure a student's anxiety during particular programming tasks. A number of tools have been proposed and developed to aid this research [84,235].…”

“…Badri et al [40] developed a web-based IDE with a variety of dashboards and visualisations that allow an instructor to closely monitor and to some extent control student progress. Haden et al [235] measured students' affective state after lab and found that students who found a problem both difficult and boring, or who recognised material as being familiar but did not see a plan to solve the problem, were at risk.…”

“…Their report suggests that student outcomes can be accurately predicted from student program states at various time points throughout a course. Presenting a tool to easily capture student affect data and demonstrate that accurate predictions of student performance are possible, Haden et al [235] identify specific response patterns that can signal at-risk students. Wortman and Rheingans [717] use a visualisation tool to interpret the progress of students and thus to isolate the causes of decreased retention in their department.…”