The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
|
Activity Number:
|
399
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Tuesday, August 2, 2011 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
ENAR
|
| Abstract - #300528 |
|
Title:
|
Theory of Self-Learning Q-Matrix
|
|
Author(s):
|
Jingchen Liu*+ and Gongjun Xu and Zhiliang Ying
|
|
Companies:
|
Columbia University and Columbia University and Columbia University
|
|
Address:
|
1255 Amsterdam Ave, New York, NY, 10027, USA
|
|
Keywords:
|
Cognitive assessment ;
diagnostic classification model ;
Q-matrix ;
self-learning ;
consistency
|
|
Abstract:
|
Cognitive assessment is a growing area in psychological and educational measurement, where tests are given to assess mastery/deficiency of attributes or skills. A key issue is the correct identification of attributes associated with items in a test. In this paper, we set up a mathematical framework under which theoretical properties may be discussed. We establish sufficient conditions to ensure that the attributes required by each item are learnable from the data.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.