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Algorithm customization to audit database in higher education institutions

Abstract:

The teaching evaluation tests, that have been applied since September 2015 at Tecnica del Norte University, have incorporated questions regarding the use of ICT in teaching practice. However, the questions related to this activity were not categorized with a sub-criterion in the original evaluation structure, so a new factorial structure was designed, which allowed us to extract the ICT use scores for each academic period, whose validity and reliability was demonstrated by Confirmatory Factor Analysis. The average values of this new component were organized in a time series, through which a neural network forecast NNF for the next academic periods scores was made using multilayer perceptrons MLP. The results reflect a growing trend in the use and incorporation of ICTs in teaching practice and ratify this trend for the upcoming periods.