Today, when industry 4.0 is already being talked about, and its advantages at the organizational level, there are still industrial processes that show a lack of automatic regulation mechanisms, which means that an optimal operating process is not guaranteed, nor that monitoring and supervision capacity. In this sense, the purpose of the article is to demonstrate the feasibility of the integration between the programmable logic controller and the Arduino nanocontrollers, this as an alternative to automate a concentric tube heat exchanger, for monitoring and data acquisition through a supervision, control and data acquisition system. The integration is shown through the design and implementation of a temperature transducer made up of a MAX6675 converter module and an Arduino Nano controller, which is amplified through its pulse width modulation (PWM) interface and the integrated TL081CP an...

DURING THE CONTEXT OF VIRTUAL CLASSES DUE TO THE PANDEMIC, IT WAS EVIDENCED THAT MANY TEACHERS HAD TO FACE ACCELERATED ADAPTATION STAGES, WHICH IS WHY TEACHERS PRESENTED DIFFICULTIES IN DESIGNING THEIR TEACHING STRATEGIES AND STUDENTS SHOWED CERTAIN DIFFICULTIES IN THEIR LEARNING. IN THIS SENSE, THIS ARTICLE AIMS TO DETERMINE HOW THE PROFESSIONAL AND PERSONAL TRAITS OF THE TEACHER ARE RELATED TO THEIR TEACHING STRATEGIES, IN THE CONTEXT OF COVID-19, FROM THE PERSPECTIVE OF THE STUDENTS. FOR WHICH AN INVESTIGATION WAS DEVELOPED WITH A QUANTITATIVE APPROACH, CORRELATIONAL LEVEL AND NON-EXPERIMENTAL DESIGN. IT WAS DETERMINED THAT THERE IS A MODERATE DIRECT RELATIONSHIP BETWEEN THE PROFESSIONAL AND PERSONAL TRAITS OF THE TEACHER WITH HIS DIDACTIC STRATEGIES IN THE CONTEXT OF VIRTUAL TEACHING. THUS, IT WAS ALSO IDENTIFIED THAT TEACHERS DO NOT POUR THEIR PROFESSIONAL EXPERIENCES INTO THE DEVEL...

—In this competitive scenario of the educational system, higher education institutions use intelligent learning tools and techniques to predict the factors of student academic performance. Given this, the article aims to determine the supervised learning model for the predictive system of personal and social attitudes of university students of professional engineering careers. For this, the Machine Learning Classification Learner technique is used by means of the Matlab R2021a software. The results reflect a predictive system capable of classifying the four satisfaction classes (1: dissatisfied, 2: not very satisfied, 3: satisfied and 4: very satisfied) with an accuracy of 91.96%, a precision of 79.09%, a Sensitivity of 75.66% and a Specificity of 92.09%, regarding the students' perception of their personal and social attitudes. As a result, the higher institution will be able to take ...