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Investigation of the Relationship Between Map Quality and Higher-Order Thinking in Kit-Build Concept Map

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Human Interface and the Management of Information (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14016))

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Abstract

Improving the quality of the concept map affects the activation of Higher-Order Thinking. Various methods for manually evaluating the quality of concept maps have been developed. However, these methods can consume a substantial amount of time and burden teachers with a heavy workload. The Kit-Build concept map is a framework for learning that enables the automatic evaluation of concept maps. The prior study has proven that raising the concept map quality using the Kit-Build concept map affects learning achievement. However, the effect has yet to be investigated on Higher-Order Thinking activation. This study aimed to investigate the influence of the enhancement of concept map quality on Higher-Order Thinking stimulation in the Kit-Build concept map. The Higher-Order Thinking activation was measured from the student’s performance in solving the Higher-Order Thinking questions. This study also evaluated the validity of the concept map automated assessment in the Kit-Build concept map by comparing the assessment results of the method with the assessment results of the manual method. This study’s results suggested that improving the quality of concept maps by using the Kit-Build concept map could activate Higher-Order Thinking. The findings also showed that the automated assessment in the Kit-Build concept map was a promising tool that could be utilized to assess the quality of concept maps.

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Acknowledgements

This work was partially supported by JSPS KAKENHI Grant Number 21H03565 and 19KK0052.

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Correspondence to Nurmaya .

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Nurmaya, Pinandito, A., Hayashi, Y., Hirashima, T. (2023). Investigation of the Relationship Between Map Quality and Higher-Order Thinking in Kit-Build Concept Map. In: Mori, H., Asahi, Y. (eds) Human Interface and the Management of Information. HCII 2023. Lecture Notes in Computer Science, vol 14016. Springer, Cham. https://doi.org/10.1007/978-3-031-35129-7_27

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  • DOI: https://doi.org/10.1007/978-3-031-35129-7_27

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