TY - GEN
T1 - Evaluation of a meta-tutor for constructing models of dynamic systems
AU - Zhang, Lishan
AU - Burleson, Winslow
AU - Chavez-Echeagaray, Maria Elena
AU - Girard, Sylvie
AU - Gonzalez-Sanchez, Javier
AU - Hidalgo-Pontet, Yoalli
AU - Vanlehn, Kurt
PY - 2013
Y1 - 2013
N2 - While modeling dynamic systems in an efficient manner is an important skill to acquire for a scientist, it is a difficult skill to acquire. A simple step-based tutoring system, called AMT, was designed to help students learn how to construct models of dynamic systems using deep modeling practices. In order to increase the frequency of deep modeling and reduce the amount of guessing/gaming, a meta-tutor coaching students to follow a deep modeling strategy was added to the original modeling tool. This paper presents the results of two experiments investigating the effectiveness of the meta-tutor when compared to the original software. The results indicate that students who studied with the meta-tutor did indeed engage more in deep modeling practices.
AB - While modeling dynamic systems in an efficient manner is an important skill to acquire for a scientist, it is a difficult skill to acquire. A simple step-based tutoring system, called AMT, was designed to help students learn how to construct models of dynamic systems using deep modeling practices. In order to increase the frequency of deep modeling and reduce the amount of guessing/gaming, a meta-tutor coaching students to follow a deep modeling strategy was added to the original modeling tool. This paper presents the results of two experiments investigating the effectiveness of the meta-tutor when compared to the original software. The results indicate that students who studied with the meta-tutor did indeed engage more in deep modeling practices.
KW - Empirical evaluation
KW - Intelligent tutoring systems
KW - Meta-tutor
UR - https://www.scopus.com/pages/publications/84880017755
U2 - 10.1007/978-3-642-39112-5_84
DO - 10.1007/978-3-642-39112-5_84
M3 - Conference contribution
AN - SCOPUS:84880017755
SN - 9783642391118
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 666
EP - 669
BT - Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings
PB - Springer Verlag
T2 - 16th International Conference on Artificial Intelligence in Education, AIED 2013
Y2 - 9 July 2013 through 13 July 2013
ER -