Abstract

Due to the ever-growing pressure on our planet’s natural resources to supply energy, the production of bioethanol by fermentation of lignocellulosic biomass is increasingly important in courses related to engineering and energy. Moreover, recent changes in the teaching–learning paradigm make necessary the introduction of novel teaching tools where students are the protagonist of their education. In this context, the purpose of this study is to compare the results obtained after traditional lessons with those obtained after the implementation of various computer activities based on modeling and simulation of bioreactors to teach biorefinery concepts focused on bioethanol production. Berkeley Madonna was chosen as the digital simulation software package because it is user-friendly, fast, and easy to program. This software allowed students to gain experience writing models that let optimize fermentations in well-stirred bioreactors and others bioprocess of industrial interest. The students (those who participated in the modeling-simulation classes and those who participated in traditional ones) completed a questionnaire and a cognitive test at the end of the course. Students that participated in modeling-simulation classes got a better score than students that participated in traditional classes. Therefore, the study showed the improvement in the understanding of the biorefinery concepts and the students improved their grades. Finally, students’ perception about the proposed modeling-simulation learning was also analyzed and they rated the efficiency of this new learning methodology as satisfactory. There are very few studies providing information about educational experiences regarding the development of skills for the formulation, interpretation, simplification, and use of mathematical models based on mass balances and simple microbial kinetics in biochemical engineering courses. The experience described in this work can be used by professors to plan and conduct courses based on the modeling of biochemical engineering problems.

Highlights

  • With an ever-growing population, the pressure on our planet’s natural resources to supply materials, chemicals, and energy continues to rise

  • Due to the incorporation of the University to European Higher Education Area (EHEA), numerous changes in the teaching–learning models have been made [5,6] and the students must be the protagonist of their education, being the professor, the supervisor aiding their acquisition of skills [7,8]

  • The students take responsibility for their own learning, being active discoverers and constructors of their own knowledge, supporting any learning method that works [6,9]. Authors such as Venkatraman et al [10] indicated that the world is experiencing the fourth industrial revolution and that education systems need to be redesigned in order to meet the new needs, due to the level of automation in the industry that has increased in the last decades

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Summary

Introduction

With an ever-growing population, the pressure on our planet’s natural resources to supply materials, chemicals, and energy continues to rise. The students take responsibility for their own learning, being active discoverers and constructors of their own knowledge, supporting any learning method that works [6,9] Authors such as Venkatraman et al [10] indicated that the world is experiencing the fourth industrial revolution and that education systems need to be redesigned in order to meet the new needs, due to the level of automation in the industry that has increased in the last decades. The incorporation of novelty tools during higher education lessons improves the degree, plans and encourages the work-based learning, besides bringing students closer to their future job These kinds of activities promote the autonomous work of students and they can reinforce their knowledge, modifying or increasing the level of the proposed activities. The aim of the authors is to analyze the results obtained after the implementation of modeling tools for teaching biorefinery in biochemical engineering courses

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