Remedial Teaching and Learning From a Cognitive Diagnostic Model Perspective: Taking the Data Distribution
He Ren1, Ningning Xu2, Yuxiang Lin3
1Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, China.
Frontiers in Psychology
|April 12, 2021
Summary
Cognitive diagnosis effectively identifies and addresses students
Area of Science:
- Mathematics Education
- Statistics Education
- Educational Psychology
Background:
- Statistics is crucial in junior high mathematics due to the big data era.
- Data distribution characteristics include sort, median, average, variance, weighted average, and mode.
- Cognitive diagnosis models offer potential for targeted educational interventions.
Purpose of the Study:
- To investigate the effectiveness of cognitive diagnosis for identifying poorly mastered statistics attributes in junior high students.
- To verify if targeted interventions based on cognitive diagnosis improve student abilities.
- To analyze student mastery of specific data distribution attributes.
Main Methods:
- Development of pre-tests and post-tests for six data distribution attributes.
- Application of a cognitive diagnosis model to identify learning gaps.
- Experimental design with an experimental group receiving targeted interventions and a control group receiving non-targeted materials.
- Inclusion of 102 eighth-grade students.
Main Results:
- Students demonstrated poor mastery of variance and weighted average in the pre-test.
- The experimental group showed significantly higher average test scores than the control group.
- The experimental group significantly improved their mastery of variance and weighted average, unlike the control group.
Conclusions:
- Cognitive diagnosis is effective in identifying specific areas of difficulty in statistics.
- Targeted interventions based on cognitive diagnosis significantly enhance students' statistical understanding.
- Educational strategies should incorporate cognitive diagnosis for personalized learning in statistics.
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