Predictive Model for Assigning Exercises to Students in Spreadsheet Functions Using Artificial Neural Networks

Saire-Peralta E. · CEUR Workshop Proceedings (2021)

Resumen

The objective of the article is the development of a model that allows to predict the exercises that the student can solve, and on the other hand the exercises that the student cannot solve in the course of ®Microsoft Excel basic level with the topics of functions. For the development of the process, artificial neural networks have been used. The model is fed with data such as sex, age, academic grade, parents' level of education, type of school, previous grades of the topics that the student obtains while advancing in the course. The research approach is quantitative, experimental, applied and the population was represented by 85 students. The result shows that the model achieves 72% probability of prediction in the assignment of exercises to students. These exercises could not be solved were provided with an aid for their resolution.

Instituciones: Universidad Nacional de San Agustín de Arequipa