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Student experiences in large undergraduate Computer Science courses are increasingly impacted by automated systems. Bots, or agents of software automation, are useful for efficiently grading and generating feedback. Current efforts at automation in CS education focus on supporting instructional tasks, but do not address student struggles due to poor behaviors, such as procrastination. In this paper, we explore using bots to improve the software engineering behaviors of students using developer recommendation choice architectures, a framework incorporating behavioral science concepts in recommendations to improve the actions of programmers. We implemented this framework in class-bot, a novel system designed to nudge students to make better choices while working on programming assignments. This work presents a preliminary evaluation integrating this tool in an introductory programming course. Our results show that class-bot is beneficial for improving student development behaviors increasing code quality and productivity.

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Nudging Students Toward Better Software Engineering Behaviors

Brown

Parnin

2021

2021 IEEE/ACM Third International Workshop on Bots in Software Engineering (BotSE)

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A competency framework for the stakeholders of a software process improvement initiative

Espinosa-Curiel

Rodríguez-Jacobo

Fernández-Zepeda

2011

Proceedings of the 2011 International Conference on Software and Systems Process

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Requirements for process management support

Kowalczyk

Armbrust

Katahira

et al. 2011

Proceedings of the 2011 International Conference on Software and Systems Process

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Cited by 4 publications

References 30 publications

Nudging Students Toward Better Software Engineering Behaviors

Nudging Students Toward Better Software Engineering Behaviors

A competency framework for the stakeholders of a software process improvement initiative

Requirements for process management support

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