Recognizing opportunities for mixed-initiative interactions in Novice programming

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

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationAAAI Fall Symposium - Technical Report
Number of pages6
Publication statusPublished - 2005
Event2005 AAAI Fall Symposium - Arlington, VA, United States
Duration: 4 Nov. 20056 Nov. 2005

Publication series

NameAAAI Fall Symposium - Technical Report


Conference2005 AAAI Fall Symposium
Country/TerritoryUnited States
CityArlington, VA


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