Iris Publishers - Global Journal of Engineering Sciences (GJES)
Authored by Genisson Silva Coutinho
Laboratory
education represents an essential component of engineering curricula [1].
Laboratories help students to learn concepts, principles, and also fundamental
engineering skills such as designing, problem-solving, and troubleshooting [2].
Despite this role, a series of constraints may prevent the ideal use of
laboratories in engineering education. For example, traditional hands-on
laboratories usually require significant investment in equipment,
infrastructure, and space [3,4]. This fact may prevent universities and
departments from creating the ideal lab environments necessary to students’
learning of knowledge and skills [5]. To fix the issues caused by these
constraints, educators are adopting emerging technologies that make the lab
more inclusive, creative and effective. Among these emerging technologies,
virtual laboratories are becoming pervasive in engineering education [6,7].
Virtual labs have numerous affordances
that make its use highly appreciated by educators and institutions. First, they
usually require lower investment and fewer resources [8]. Second, they allow
remote access, are accessible to students with disabilities and are safe to
students [9]. Third, virtual labs enhance students conceptual understanding
through the use of simulations and representations of abstract phenomena [10].
Finally, virtual labs usually are flexible and allow students to change the
values of the different variables and explore the experimental results in a
faster way than hands-on or remote experimentation [11]. A common critique
regarding the use of virtual labs refers to use of idealized data that usually
do not reflect the uncertainties and nuances of the real world [12]. Also,
these labs usually lack the sense of reality necessary to immerse students in
more authentic experiences [13]. Furthermore, a great deal of virtual labs
focuses on the development of students’ conceptual understanding about a
particular phenomenon or theory [6]. To do this, the developers of such
environments focus on reproducing or simulating the behavior of those
phenomena, or systems, in the face of different variables. Students may vary
the different variables and analyze how the system behaves. In most cases,
characteristics associated with the equipment, the setup, the environment, as well
as, all the experimental procedures are neglected.
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