A Quantitative Evaluation Model of Interactive Whiteboard Classroom Based on K-Means Algorithm

Authors

  • Feng-juan Liu Shaanxi University of Technology , Shaanxi Hanzhong,723000 , China

DOI:

https://doi.org/10.3991/ijet.v13i11.9603

Keywords:

classroom evaluation, teaching interaction, evaluation model, data mining

Abstract


In order to apply the K-means algorithm to the quantitative evaluation model of interactive whiteboard class, the automatic correction method of the natural scene text plane image in the interactive whiteboard class is put forward. This method makes full use of the whiteboard border line information, and completes the whiteboard correction through the Canny operator edge detection, the PPHT straight line extraction, the K-means algorithm linear clustering, H matrix transformation and other steps. Finally, experiments are carried out to test the performance of the algorithm. The research results show that the algorithm has a high success rate of correction for basic simple background and simple content whiteboard, and the algorithm performance is relatively stable. It can be seen that the K-means algorithm has broad application prospects in the quantitative evaluation model of interactive whiteboard classroom.

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Published

2018-11-09

How to Cite

Liu, F.- juan. (2018). A Quantitative Evaluation Model of Interactive Whiteboard Classroom Based on K-Means Algorithm. International Journal of Emerging Technologies in Learning (iJET), 13(11), pp. 89–101. https://doi.org/10.3991/ijet.v13i11.9603

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Section

Papers