Supporting the Learning of Evolution Theory Using an Educational Simulator

Students: Diego Vaz Caetano, Josué Dias Cardoso and Luana Guimarães Piani Ferreira
Collaborators: Raphael Abreu, João Quadros, Joel Santos
Advisors: Leonardo Lignani, Eduardo Ogasawara

Abstract

The use of simulators as educational tools aims to increase students’ engagement in classes and seems to help them to understand difficult concepts. They can be used in natural science classes as an alternative for practical or experimental approaches when the time and space scales required are not compatible with the scholar environment. Through interactive simulators, students can explore the topic under study. Discoveries are made, predictions are confirmed or refuted by subsequent simulations, enhancing the comprehension of the phenomenon. This article presents Sim-Evolution, an educational simulator to help teachers presenting Charles Darwin’s Theory of Evolution by Natural Selection (TENS). Our intention with Sim-Evolution is to enable students to practice and comprehend TENS as a process that occurs at the population level. Given that it focuses on High School level, its interface was designed to be joyful, helping to engage students. We developed Sim-Evolution focusing on three basic biological principles that structure TENS: (i) variation, (ii) heredity and (iii) selection. Also, simulation design is based on Mendelian Genetics and population genetics. However, we intended that knowledge of these areas should not be a requisite for using Sim-Evolution. Therefore, students can observe laws of evolution and the genetic properties (genotypes) by analyzing species phenotypes and surviving populations. Sim-Evolution was evaluated by High-School students in a Biology class. Experiments indicate that students could observe TENS as a population process and were able to identify the principles of variation, heredity, and selection by indirect analysis from living species phenotypes.

App

Sim-Evolution at Google Play store
User manual

 

Experimental Evaluation

Evaluation Procedure

Evaluation Form

Source code at GitHub


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Our application has educational purposes and was developed under the coordination of the Computer Science Departament of CEFET/RJ (http://eic.cefet-rj.br). We collect the following application information for statistical research purposes:

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Eduardo Ogasawara

Eduardo Ogasawara has been a professor at the Department of Computer Science at the Federal Center for Technological Education of Rio de Janeiro (CEFET/RJ) since 2010. He holds a D.Sc. in Systems and Computer Engineering from COPPE/UFRJ. Between 2000 and 2007, he worked in the Information Technology (IT) sector, gaining extensive experience in workflows and project management. With a strong background in Data Science, he is currently focused on Data Mining and Time Series Analysis. He is a member of IEEE, ACM, and SBC. Throughout his career, he has authored numerous published articles and led projects funded by agencies such as CNPq and FAPERJ. Currently, he heads the Data Analytics Lab (DAL) at CEFET/RJ, where he continues to advance research in Data Science.