Titlebook: Good Practices and New Perspectives in Information Systems and Technologies; WorldCIST 2024, Volu álvaro Rocha,Hojjat Adeli,Aneta Poniszews

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Analyzing University Dropout Rates Using Bayesian Methods: A Case Study in University Level in MexicC) recorded 3,499 students across eight engineering and two bachelor‘s programs in 2018, experiencing a significant dropout rate of 9%. This article presents a web platform using Bayesian methods to analyze and interpret dropout data from ITSC. Specifically, the Computer Systems Engineering program,

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https://doi.org/10.1007/978-3-8349-6738-1review of the literature will be carried out, focusing only on the three years - the artificial intelligence boom - and through it we will try to identify the major challenges that educational agents, but especially teachers, face in assessing students, contributing to literacy in the area, but also

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Machtfaktor auch ohne Machtbasis?uring classes. The questionnaire included questions about sociodemographic characteristics and assessed expectations, attitudes, intentions, and the use of distance learning, using a 5-point Likert scale. The analysis showed that the questionnaire is reliable, with a high Cronbach’s alpha coefficien

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