TY - GEN
T1 - Recognizing opportunities for mixed-initiative interactions in Novice programming
AU - Doherty, Liam
AU - Lougheed, Patrick
AU - Brokenshire, David
AU - Jordanov, Mayo
AU - Rao, Shilpi
AU - Shakya, Jurika
AU - Kumar, Vive
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33645999353&partnerID=8YFLogxK
M3 - Published Conference contribution
AN - SCOPUS:33645999353
SN - 157735253X
T3 - AAAI Fall Symposium - Technical Report
SP - 51
EP - 56
BT - AAAI Fall Symposium - Technical Report
T2 - 2005 AAAI Fall Symposium
Y2 - 4 November 2005 through 6 November 2005
ER -