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Classroom Learning Assessment: Modeling and Tool Design Based on the SOLO Classification Theory

Authors :
Liu Chun-hong
Zhang Yichong
Li Xiaoniu
Zhu Ke
Source :
2020 IEEE 2nd International Conference on Computer Science and Educational Informatization (CSEI).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

Some limitations exist classroom learning assessment in the basic education (K12) stage: the role of diagnostic assessment and formative assessment is weakened, and the measurement of students' cognitive thinking ability is neglected. Firstly, this study clarifies the selected topic index of classroom assessment based on the SOLO classification theory, and constructs the classroom learning assessment model supported by the mobile intelligent terminal. Then, the study designs the mobile teaching tool to promote the implementation of classroom learning assessment, and carries on the system function test and the teaching practice. Finally, the study iterates and optimizes the classroom learning assessment model and prototype system based on the effective feedback from teachers and students. The results demonstrate that the combination of the SOLO classification theory and mobile teaching tools to implement classroom learning assessment can maximum the advantages of diversified assessment and promote learning through assessment.

Details

Database :
OpenAIRE
Journal :
2020 IEEE 2nd International Conference on Computer Science and Educational Informatization (CSEI)
Accession number :
edsair.doi...........6a9a6ed15643078faf0476928cdda900