Recognizing Opportunities for Mixed-Initiative Interactions in Novice Programming

Liam Doherty, Patrick Lougheed, David Brokenshire, Mayo Jordanov, Shilpi Rao, Jurika Shakya, and Vive Kumar

As part of their education, Computer Science students develop hundreds of computer programs and receive only summative feedback on the end results of their program designs and code. We demonstrate a need for a formative feedback mixed-initiative system able to reflect on the progress of students and identify opportunities to prompt students when they venture into poor programming styles. With the eventual goal of developing a mixed-initiative system with these capabilities, able to make use of analysis of compile-time code segments, theories from research into self-regulated learning are applied to the problem of identifying opportunities for mixed-initiative interactions.


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