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Frequency Weighting of Student Categories in Quadrants for Remote Higher Education Under COVID 19 Pandemic Era

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1322))

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Abstract

During the time of the Covid 19 pandemic, the behavior of three human groups was analyzed after having completed the 16-week academic semester in September 2020. The students of each human were divided into 4 resulting quadrants, the attitudinal behavior was weighted on the axis of the abscissa and the axis of the ordinates to the final grade. The students of each one of the groups were distributed applying their percentage value within each one of the quadrants, those that are denominated talented, responsible, confident, disinterested, being their averages 18.27%, 37.69%, 13.09% and 30.99% respectively. It was demonstrated that there is no significant difference between the three groups, in terms of the percentage values assigned to each of the quadrants, as well as that there is no significant difference between the percentage values between the quadrants of the talented and the confident, nor between the responsible and the disinterested.

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References

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Correspondence to Ernesto Hernández .

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Hernández, E., Sócola, Z., Choque, T., Ygnacio, A., Hernández, W. (2021). Frequency Weighting of Student Categories in Quadrants for Remote Higher Education Under COVID 19 Pandemic Era. In: Russo, D., Ahram, T., Karwowski, W., Di Bucchianico, G., Taiar, R. (eds) Intelligent Human Systems Integration 2021. IHSI 2021. Advances in Intelligent Systems and Computing, vol 1322. Springer, Cham. https://doi.org/10.1007/978-3-030-68017-6_45

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