Ferramenta BI para análise de soft skills no curso de Engenharia Química dentro do contexto da indústria 4.0

Abstract

An industrial revolution consists of a period of great technological development. The initial development occurred during the 18th century with the development of the steam engine, which primarily benefited the textile industry, also modifying work relationships. During the latter half of the 19th century, the second industrial revolution emerged. Iron, coal, and steam power gave way to steel, electricity, and oil, and great advances in the means of production allowed work to be automated and new industries to emerge. It was followed by the third industrial revolution, in the 20th century, when significant advances in the areas of telecommunications and information technology appeared, requiring a more qualified workforce to deal with the new production systems and the new technologies developed. Now, in the 21st century, the world is experiencing the fourth industrial revolution. In this context, technologies for automation and data exchange are developed using concepts of cyber-physical systems, Internet of things, and cloud computing, allowing for machines to execute more efficiently tasks previously carried out by humans. Thus, the dynamics of the work systems and the profile of the professional that the market demands have changed, making changes necessary in several systems, including higher education, focusing on ensuring that the skills currently demanded by the market are actually developed. In order to assist in this process, the present work aims to develop a tool to monitor the behavioral performance of students of the chemical engineering course at the Federal University of Ceará. The tool was developed based on the curricular guidelines and the pedagogical project of the course, through qualitative research and the use of the Looker Studio tool, the construction of the analysis tool was carried out. In addition, a methodology proposal for its implementation was elaborated.