Paper Info
Title
Studying the Effect of Tutor Learning Using a Teachable Agent that Asks the Student Tutor for Explanations
Abstract
We have built Sim Student, a computational model of learning, and applied it as a peer learner that allows students to learn by teaching. Using Sim Student, we study the effect of tutor learning. In this paper, we discuss an empirical classroom study where we evaluated whether asking students to provide explanations for their tutoring activities facilitates tutor learning - the self-explanation effect for tutor learning. The results showed that students in the self-explanation condition displayed the same amount of learning gain as students in the non-self-explanation condition, but with a significantly smaller number of problems tutored (during the same time). The study also showed an apparent increase in effectiveness relative to a prior study, which is arguably due to improvement of the system based on the iterative system-engineering effort.
Year
DOI
Venue
2012
10.1109/DIGITEL.2012.12
Digital Game and Intelligent Toy Enhanced Learning
Keywords
Field
DocType
prior study,teachable agent,sim student,tutor learning,iterative system-engineering effort,self-explanation condition,self-explanation effect,student tutor,empirical classroom study,computational model,apparent increase,non-self-explanation condition,computational modeling,computer model,system engineering,machine learning,iterative methods,production,algebra
TUTOR,Learning gain,Computer science,Simulation,Multimedia,Peer tutor,Learning by teaching
Conference
ISBN
Citations 
PageRank 
978-1-4673-0885-4
15
1.13
References 
Authors
6
8
Name
Order
Citations
PageRank
Noboru Matsuda120023.45
William W. Cohen2101781243.74
Kenneth R. Koedinger33551403.07
Victoria Keiser4566.32
Rohan Raizada5555.85
Evelyn Yarzebinski6588.24
Shayna P. Watson7151.13
Gabriel Stylianides8586.73