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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,让你明白 发表于 2025-3-28 22:59:31
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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 alsoDungeon 发表于 2025-3-29 16:24:38
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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 coefficienanaphylaxis 发表于 2025-3-30 04:52:49
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