Reconsidering prior knowledge.


Book: 
Thinking with data.
Authors: 
Schwartz, D. L., Sears, D., & Chang, J.
Editors: 
Lovett, M. C., & Shah, P.
Type: 
Category: 
Pages: 
319-344
Year: 
2007
Publisher: 
Erlbaum.
URL: 
http://aaalab.stanford.edu/papers/Schwartz_Reconsidering_Prior_K.pdf
Abstract: 

In this chapter, we use preparation for future learning assessments to work backwards to identify the types of prior knowledge that prepare students to learn. We highlight how to develop a specific form of prior knowledge that many current models of learning and instruction do not address very well.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education