Title
Learning from Collaboratively Observing Videos during Problem Solving with Andes
Abstract
Learning by observation has long been a traditional method of learning. Recent work has pointed toward collaboratively observing tutoring as a promising new method for observational learning. Our current study tested this new method in the PSLC physics LearnLab where students were introduced two topics of rotational kinematics by observing videos while problem solving in Andes. The students were randomly assigned to a pair condition that collaboratively observed a video of an expert tutoring or providing an example, or to a solo condition that observed a video of an expert worked example. Several robust and normal learning measures were collected, however, to date only multiple choice measures have been analyzed. Students' performance on the multiple choice questionnaires revealed significant pretest to posttest gains for all conditions. However, no differences have been found among conditions for normal learning measures.
Year
Venue
Keywords
2007
AIED
multiple choice questionnaire,traditional method,pair condition,promising new method,normal learning measure,solo condition,multiple choice measure,new method,expert tutoring,observational learning,multiple choice
Field
DocType
Volume
Observational learning,Computer science,Artificial intelligence,Machine learning,Multiple choice
Conference
158
ISSN
Citations 
PageRank 
0922-6389
0
0.34
References 
Authors
2
4
Name
Order
Citations
PageRank
Scotty D. Craig125423.91
Kurt VanLehn22352417.44
Soniya Gadgil310.70
Micki Chi400.34