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knowledge_assessment:q-matrix [2014/01/03 16:24]
jpetrovic [Literature]
knowledge_assessment:q-matrix [2023/06/19 18:03] (current)
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 Factor analysis can be considered as an alternative to q-matrices. Concepts are in that case automatically determined using covariance matrix. Number of concepts should be smaller than number of questions. Still, this methos has proven to be less fault tollerant. Still, when forming a correlation matrix, we lose individual student data in favor of calculating average relationships between questions. The q-matrix method is optimized to assign each student the most appropriate knowledge state, using all available response data for each student. Factor analysis can be considered as an alternative to q-matrices. Concepts are in that case automatically determined using covariance matrix. Number of concepts should be smaller than number of questions. Still, this methos has proven to be less fault tollerant. Still, when forming a correlation matrix, we lose individual student data in favor of calculating average relationships between questions. The q-matrix method is optimized to assign each student the most appropriate knowledge state, using all available response data for each student.
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-((see Ham85 for a discussion of item-response theory)) 
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 ==== Literature ==== ==== Literature ====
  
-[fhttp://​ieeexplore.ieee.org/​xpls/​abs_all.jsp?​arnumber=4958804&​tag=1|Shuqun,​ Yang, Cai Shenzheng, Yao Zhiqiang, and Ding Shuliang. “The Concept Lattices of Q-Matrices.” In First International Workshop on Education Technology and Computer Science, 2009. ETCS ’09, 1:413 –417, 2009. doi:​10.1109/​ETCS.2009.101.]]+[[http://​ieeexplore.ieee.org/​xpls/​abs_all.jsp?​arnumber=4958804&​tag=1|Shuqun,​ Yang, Cai Shenzheng, Yao Zhiqiang, and Ding Shuliang. “The Concept Lattices of Q-Matrices.” In First International Workshop on Education Technology and Computer Science, 2009. ETCS ’09, 1:413 –417, 2009. doi:​10.1109/​ETCS.2009.101.]]
  
 [[http://​coitweb.uncc.edu/​~tbarnes2/​itsfall04/​papers/​acm.pdf|Barnes,​ Bitzer. Fault Tolerant Teaching and Automated Knowledge Assessment.]] [[http://​coitweb.uncc.edu/​~tbarnes2/​itsfall04/​papers/​acm.pdf|Barnes,​ Bitzer. Fault Tolerant Teaching and Automated Knowledge Assessment.]]
knowledge_assessment/q-matrix.1388762641.txt.gz · Last modified: 2023/06/19 17:49 (external edit)