DIAGNOSING KNOWLEDGE STATES IN ALGEBRA USING THE RULE SPACE MODEL

1992 ◽  
Vol 1992 (2) ◽  
pp. i-25 ◽  
Author(s):  
Menucha Birenbaum ◽  
Anthony E. Kelly ◽  
Kikumi K. Tatsuoka
1993 ◽  
Vol 24 (5) ◽  
pp. 442 ◽  
Author(s):  
Menucha Birenbaum ◽  
Anthony E. Kelly ◽  
Kikumi K. Tatsuoka

1993 ◽  
Vol 24 (5) ◽  
pp. 442-459
Author(s):  
Menucha Birenbaum ◽  
Anthony E. Kelly ◽  
Kikumi K. Tatsuoka

This paper illustrates the use of rule space as a tool to support cognitive analyses of students' mathematical behavior. The rule-space approach is explained and is then used to classify students into one of two methods for solving linear algebraic equations in one unknown and to diagnose their knowledge states in this topic. A 32-item test with open-ended questions was administered to 231 eighth and ninth graders. Two outcomes of the rule-space model are presented: (a) a classification of examinees into knowledge states resulting from the two solution approaches at the group level along with individual examples and (b) tree diagrams of the transitional relationships among the states for each strategy. Implications for using the feedback provided by the rule-space model in the context of instruction and assessment are discussed.


1993 ◽  
Author(s):  
Irvin R. Katz ◽  
Michael E. Martinez ◽  
Kathleen Sheehan ◽  
Kikumi K. Tatsuoka

2016 ◽  
Vol 47 (6) ◽  
pp. 1357-1378 ◽  
Author(s):  
Fu Chen ◽  
Shanshan Zhang ◽  
Yanfang Guo ◽  
Tao Xin

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