scholarly journals Analysis of Satisfaction in the Use of Technological Simulation Tools in the Learning of the Automatic Process Control Course

2021 ◽  
Vol 11 (6) ◽  
pp. 132-140
Author(s):  
Omar Chamorro-Atalaya ◽  
Guillermo Morales-Romero ◽  
Adrián Quispe-Andía ◽  
Nicéforo Trinidad-Loli ◽  
César León-Velarde ◽  
...  

The objective of this article is to describe the satisfaction of the students in the use of technological simulation tools in the learning of the automatic process control course, generated by distance education. The Academic Satisfaction Scale (ESA) was used as a measurement instrument. As the research was carried out, the re-sults revealed that of the indicators that present the highest degree of satisfaction, 56.8% of the student’s state that they strongly agree with what was learned through the use of technological simulation tools in the subject of the course of control of automatic processes and 54.5% indicate that the technological tools used in the contents of the subject excite them. Likewise, by means of the R squared, it can be indicated that the satisfaction of the students with the developed subject, in which technological simulation tools were used (I6), influences 0.637, that is, 63.7%, on the general satisfaction of academic experience in the virtual environment (I7); This is translated with the following equation: I7 = 0.309 + 0.637 * I6.

Author(s):  
J Harris

A process control strategy is proposed based upon the twin themes of statistical and automatic process control. The main categories of product fault are identified and related to the capabilities of statistical and automatic control. Statistical control is supported by process fault information from a process-specific fault tree analysis, which provides the basis for a corrective intervention protocol. Application is discussed in terms of fuzzy automatic control, which offers a greater generality than conventional automatic control modelling. Prior publications that fuzzify statistical control zones are arguably incomplete in the application of logic propositions and also in the identification of process faults. The present work proposes a general strategy, which may be adapted to specific processes. Both control by variables and control by attributes may be included within this treatment.


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