TY - GEN
T1 - Recognizing opportunities for mixed-initiative interactions based on the principles of self-regulated learning
AU - Shakya, Jurika
AU - Menon, Samir
AU - Doherty, Liam
AU - Jordanov, Mayo
AU - Kumar, Vive
PY - 2005
Y1 - 2005
N2 - Successful mixed initiative systems employ mechanisms that explicitly recognize opportunities for initiatives among the system and the users. In this paper, we propose a theory based framework, founded on the principles of Self Regulated Learning, that recognizes strategies and tactics learners used in their interactions. These interactions are observed from within gStudy, a learning tool that students use as part of learning activity. Production rules encode SRL-specific knowledge in an OWL-based formal ontology and JESS is used as an inference engine to recognize strategies and tactics used by learners in specific reading and problem-solving activities. Using such inferences we demonstrate how the system recognizes opportunities for mixed-initiative interactions to guide learners who veer away from optimal SRL strategies.
AB - Successful mixed initiative systems employ mechanisms that explicitly recognize opportunities for initiatives among the system and the users. In this paper, we propose a theory based framework, founded on the principles of Self Regulated Learning, that recognizes strategies and tactics learners used in their interactions. These interactions are observed from within gStudy, a learning tool that students use as part of learning activity. Production rules encode SRL-specific knowledge in an OWL-based formal ontology and JESS is used as an inference engine to recognize strategies and tactics used by learners in specific reading and problem-solving activities. Using such inferences we demonstrate how the system recognizes opportunities for mixed-initiative interactions to guide learners who veer away from optimal SRL strategies.
UR - http://www.scopus.com/inward/record.url?scp=33645981592&partnerID=8YFLogxK
M3 - Published Conference contribution
AN - SCOPUS:33645981592
SN - 157735253X
T3 - AAAI Fall Symposium - Technical Report
SP - 117
EP - 122
BT - AAAI Fall Symposium - Technical Report
T2 - 2005 AAAI Fall Symposium
Y2 - 4 November 2005 through 6 November 2005
ER -