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AUTHOR(S): 

Gustavo Magalhães Tercete, Kurt André Pereira Amann, Rodrigo Filev Maia

 

TITLE

SimStructure: 3D simulation Tool to Evaluate the Learning Aspects of Students in an Engineering Course

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ABSTRACT

Software tools are used in all levels of education in order to improve learning outcomes. There are several simulation tools based on active learning concepts and game based learning strategy used in STEM courses with a multitude of features designed to help students in the learning process. One difficulty of students in engineering courses are the abstraction of structures and their behaviour when forces are applied. The SimStructure software is based to active learning concepts and use a game engine to create a virtual learning environment to provide tools to build 3D structures, apply axial forces and evaluate the effects of such forces in the structure. In this work, it is discussed the learning outcomes of the application of SimStructure in an engineering class and it is also compared the use of SimStructure with other software and the traditional method. Results indicates that SimStructure produced a positive impact in the students learning, since SimStructure could provide mechanisms to students understand the physical effects of axial forces and node displacement. The results also indicate that students try to apply a set of concepts in any exercise when they try to solve it in traditional method regardless the kind of evaluation that it is required in the exercise. Using the software students changed this behaviour and try to think about the exercise before start to solve it.

KEYWORDS

Active learning, open educational resources, virtual learning environment, game engine, simulation games

REFERENCES

[1] BONWELL, Charles C.; EISON, James A. Active Learning: Creating Excitement in the Classroom. 1991 ASHE-ERIC Higher Education Reports. ERIC Clearinghouse on Higher Education, The George Washington University, One Dupont Circle, Suite 630, Washington, DC 20036-1183, 1991.

[2] UNESCO. Taking OER beyond the OER Community. http://oerworkshop.weebly.com>. (2011)

[3] TERCETE, G.M.; REAL, R.P.P.C.; MAIA, R.F. Learning tool based on a game engine to study and simulate reactions and physical properties of structures. 9th International Technology, Education and Development Conference, Madri. INTED, 2015, p. 5847-5852

[4] WHITELEY, T. Rick. Using the Socratic method and Bloom’s taxonomy of the cognitive domain to enhance online discussion, critical thinking, and student learning. Developments in Business Simulation and Experiential Learning, v. 33, 2014.

[5] PAPPAS, E.; PIERRAKOS, O.; NAGEL, R. Using Bloom’s Taxonomy to teach sustainability in multiple contexts. Journal of Cleaner Production, v. 48, 2013, p. 54-64.

[6] DELORS, Jacques et.al. Educação, um tesouro a descobrir: relatório para a UNESCO da Comissão Internacional sobre Educação para o século XXI. São Paulo. Cortez Editora, 1998.

[7] MORIN, Edgar; CIURANA, Emílio-Roger; MOTTA, Raúl Domingo. Educar na era planetária: o pensamento complexo como método de aprendizagem pelo erro e incerteza humana. São Paulo: Cortez; Brasília: UNESCO, 2003.

[8] MOTTIN, Elisandra. A utilização de material didático-pedagógico em ateliês de matemática, para o estudo do teorema de Pitágoras. Porto Alegre, 2004.

[9] GRABINGER, R. Scott; DUNLAP, Joanna C. Rich environments for active learning: A definition. Research in Learning Technology, v. 3, n. 2, 1995.

[10] FREEMAN, Scott et al. Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, v. 111, n. 23, 2014, p. 8410-8415.

[11] BIDARRA, José; FIGUEIREDO, Mauro; NATÁLIO, Carlos. Interactive design and gamification of ebooks for mobile and contextual learning. International Journal of Interactive Mobile Technologies (iJIM), 2015, p. 24-32.

[12] DESHPANDE, Amit A.; HUANG, Samuel H. Simulation games in engineering education: A state‐of‐the‐art review. Computer Applications in Engineering Education, v. 19, n. 3, 2011, p. 399-410.

[13] LI, Ming-Chaun; TSAI, Chin-Chung. Gamebased learning in science education: a review of relevant research. Journal of Science Education and Technology, v. 22, n. 6, 2013, p. 877-898.

[14] BLOOM, Benjamin S. et al. Taxonomy of educational objectives, handbook I: The cognitive domain. 1956.

[15] ANDERSON, Lorin W.; KRATHWOHL, David R.; BLOOM, Benjamin Samuel. A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. Allyn & Bacon, 2001.

[16] MUNZENMAIER, Cecelia; RUBIN, Nancy. Bloom’s taxonomy: What’s old is new again. The Elearning Guild. Santa Rosa, 2013.

[17] KRATHWOHL, David R. A revision of Bloom's taxonomy: An overview. Theory into practice, v. 41, n. 4, 2002, p. 212-218.

[18] Farrington, Camille A., et al. Teaching Adolescents to Become Learners: The Role of Noncognitive Factors in Shaping School Performance--A Critical Literature Review. Consortium on Chicago School Research.

Cite this paper

Gustavo Magalhães Tercete, Kurt André Pereira Amann, Rodrigo Filev Maia. (2017) SimStructure: 3D simulation Tool to Evaluate the Learning Aspects of Students in an Engineering Course. International Journal of Education and Learning Systems, 2, 18-24

 

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