Title
Toward Combining Individual And Collaborative Learning Within An Intelligent Tutoring System
Abstract
Collaborative and individual learning appear to have complementary strengths; however, the best way to combine these learning methods is still unclear. While previous work has demonstrated the effectiveness of Intelligent Tutoring Systems (ITSs) for individual learning, collaborative learning with ITSs is much less frequent - especially for young students. In this paper, we discuss our prior and future work with elementary school students that aims to investigate how to best combine individual and collaborative learning using their complementary strengths within an ITS. Our previous findings demonstrate that ITSs are able to support collaboration, as well as individual learning, for this population. In addition, we propose future research to understand how to best combine individual and collaborative learning within an ITS.
Year
DOI
Venue
2015
10.1007/978-3-319-19773-9_130
ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2015
Keywords
Field
DocType
Problem solving, Collaborative learning, Intelligent tutoring system
Population,Collaborative learning,Intelligent tutoring system,Computer science,Knowledge management,Artificial intelligence,Multimedia,Machine learning,Individual learning
Conference
Volume
ISSN
Citations 
9112
0302-9743
2
PageRank 
References 
Authors
0.38
2
3
Name
Order
Citations
PageRank
Jennifer K. Olsen12211.52
Vincent Aleven21700193.45
Nikol Rummel345657.13