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The use of technologies in the development of classroom activities contributes to improved educational quality in Higher Education, allowing raising learning results. The scientific problem lies in how to contribute to the identification of learning patterns generated through the Moodle platform. The analytical-synthetic, inductive-deductive, historical-logical, and systematization methods made it possible to identify techniques that allow us to recognize patterns stored in databases. The objective of this study is based on the analysis of the data obtained in the Moodle platform and its processing in Orange tool, using the CRIP-DM methodology. Neural networks were used to predict the final evaluation and the SHAP index to explain the model. It can be seen that the three most important attributes are related to the knowledge acquired and the level of effort. Questionnaires were applied to students, which answered using an indeterminate Likert scale that consists in the assessment of every question with five components instead of only one of them, so, responses are more indeterminate and accurate. [ABSTRACT FROM AUTHOR]

This paper shows up a work developed in the county of Benguela, Republic of Angola. As case matter, it was considering the Statistical Applied discipline that it is imparting in ISCED of Benguela. To determine the present state of their empiric teachinglearning process (interviews, pedagogic tests) and statistical methods they used. This paper pretend to show how to carry out the quantitative study, applying statistical tools one variable and multivariate as the Analysis of Main Components for Categorical Data, which allowed to verify the indicators (variables) that more weight had in the valuations emitted by the students in the instruments. [ABSTRACT FROM AUTHOR]

This paper presents a neutrosophic study on attitudes towards virtual technology, with a special focus on the "Experience Machine". Employing a methodology that incorporates the theory of indecision and neutrality into response analysis, the perceptions of 50 university students were investigated. Opinions and feelings were transformed into neutrosophic numbers to calculate contradiction and conduct a detailed analysis. The results indicate a predisposition towards agreement with virtual technology, although notable indecision and a significant presence of neutral attitudes were detected. The correlations and clustering methods applied reveal a complex dynamic of attitudes, challenging binary interpretations and highlighting the need for more nuanced strategies. This neutrosophic approach offers new perspectives for the development and marketing of innovative technologies, recognizing the diversity of emotions and opinions in user responses to emerging technologies. [ABSTRACT FROM AUTHOR]