Research on Construction Method of Learning Paths and Learning Progressions Based on Cognitive Diagnosis Assessment

• In Event: AERA Virtual Poster Session 4
  In Poster Session: Poster Session 2

Abstract

Learning path and learning progression have received extensive attention. With 726 Grade 8 students' mathematical knowledge in TIMSS 2015 as the research object, this research adopted a newly generated assessment theory—cognitive diagnosis assessment as the research tool and exploited methods such as Kmeans clustering analysis to construct learning path by combing the relationships among the attributes. We obtained the students’ ability θs for each classified group through the 3PL model in the Item Response Theory (IRT) and constructed the learning progressions based on the θs and the attribute relationships. From a data-driven approach, this method has provided a new perspective as well as the data support for the construction of the learning paths and the learning progressions.

Authors

• Xiaopeng Wu, Shanxi Normal University

• Rongxiu Wu, University of Connecticut

• Hua-Hua Chang, Purdue University