TY - GEN
T1 - Open social student modeling
T2 - 19th International Conference on User Modeling, Adaptation and Personalization, UMAP 2011
AU - Hsiao, I. Han
AU - Bakalov, Fedor
AU - Brusilovsky, Peter
AU - König-Ries, Birgitta
PY - 2011
Y1 - 2011
N2 - This paper explores a social extension of open student modeling that we call open social student modeling. We present a specific implementation of this approach that uses parallel IntrospectiveViews to visualize models representing student progress with QuizJET parameterized self-assessment questions for Java programming. The interface allows visualizing not only the student's own model, but also displaying parallel views on the models of their peers and the cumulative model of the entire class or group. The system was evaluated in a semester-long classroom study. While the use of the system was non-mandatory, the parallel IntrospectiveViews interface caused an increase in all of the usage parameters in comparison to a regular portal-based access, which allowed the student to achieve a higher success rate in answering the questions. The collected data offer some evidence that a combination of traditional personalized guidance with social guidance was more effective than personalized guidance alone.
AB - This paper explores a social extension of open student modeling that we call open social student modeling. We present a specific implementation of this approach that uses parallel IntrospectiveViews to visualize models representing student progress with QuizJET parameterized self-assessment questions for Java programming. The interface allows visualizing not only the student's own model, but also displaying parallel views on the models of their peers and the cumulative model of the entire class or group. The system was evaluated in a semester-long classroom study. While the use of the system was non-mandatory, the parallel IntrospectiveViews interface caused an increase in all of the usage parameters in comparison to a regular portal-based access, which allowed the student to achieve a higher success rate in answering the questions. The collected data offer some evidence that a combination of traditional personalized guidance with social guidance was more effective than personalized guidance alone.
KW - Open Student Model
KW - Open User Model
KW - Parameterized Self-Assessment
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=79960335507&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960335507&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22362-4_15
DO - 10.1007/978-3-642-22362-4_15
M3 - Conference contribution
AN - SCOPUS:79960335507
SN - 9783642223617
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 171
EP - 182
BT - User Modeling, Adaption, and Personalization - 19th International Conference, UMAP 2011, Proceedings
Y2 - 11 July 2011 through 15 July 2011
ER -