Xiaopeng Wu, Rongxiu Wu, Yi Zhang, D. Arthur, Hua-Hua Chang
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Research on construction method of learning paths and learning progressions based on cognitive diagnosis assessment
ABSTRACT Learning path and learning progression have received extensive attention from broad disciplines. The existing research In the field of learning path is rarely applied in curriculum learning and teaching. Learning progression is usually constructed through observations, interviews but not quantitative analyses. 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 K-means 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.
期刊介绍:
Recent decades have witnessed significant developments in the field of educational assessment. New approaches to the assessment of student achievement have been complemented by the increasing prominence of educational assessment as a policy issue. In particular, there has been a growth of interest in modes of assessment that promote, as well as measure, standards and quality. These have profound implications for individual learners, institutions and the educational system itself. Assessment in Education provides a focus for scholarly output in the field of assessment. The journal is explicitly international in focus and encourages contributions from a wide range of assessment systems and cultures. The journal''s intention is to explore both commonalities and differences in policy and practice.