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Practical learning approach:
Hands-on learning methods are ideal for complex subjects as they ensure deep understanding,
maintain engagement, and improves academic performance.
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Compatible with e-Learning:
By definition, simulators are the perfect complement to e-Learning, as both approach
learning from the same angle.
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Cost Reduction:
In general, digital solutions allow us to scale more economically than physical ones. The
marginal cost of new digital units is much lower than that of their physical counterparts.
This is similar to what happens in other sectors such as the publishing or music industry.
🌐
Unlimited size:
There are concepts or phenomena that physically cannot fit into any laboratory, and if they
could, the cost would be exorbitant (for example: an ecosystem, a country's economy, or a
complex industrial process).
⏳
Unlimited Time Scale:
Simulators allow us to observe in detail both what happens when the time scale is very
small (for example, transients in electrical circuits) and what occurs when the scale is
very large (such as social phenomena, which take years or decades to develop).
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Availability and Flexibility:
By deploying simulators in the cloud, they will be available at any time from anywhere
(including the classroom). There is no need to schedule practice sessions for students
to take turns in the lab, allowing students to access them at any moment.
📏
Simple Measurements:
Unless the goal of the practice sessions is to learn about metrology, measurements are
very simple and easily reproducible when using digital simulators.
Often, when conducting a physical experiment, we are more focused on making measurements
correctly within the opportunity window provided by the experiment than on the object of
the experiment itself.
Moreover, in physical experiments, there are often variables of interest that are not
available, at least not directly or easily. When it comes to measuring physical
quantities (for example: temperature, pressure, current intensity, etc.), these can be
difficult to access or the sensors needed to measure them can be very costly. In social
sciences, it is common for variables of interest to be measured indirectly through
intermediate variables that act as proxies.
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No Ethical Dilemmas:
Conducting in vivo experiments with humans or animals often involves ethical dilemmas
(for example, experimenting with human physiology raises serious ethical and moral issues).
However, simulation allows us to conduct in silico experiments with complete peace
of mind.
Although perhaps not as obvious as experimentation with humans or animals, there are other
situations that also pose ethical or moral problems, such as experimentation in ecology.
In reality, we cannot provoke an ecological collapse for scientific purposes, but in a
simulator, it is entirely feasible.
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Zero Risk:
It is possible to address subjects that would be dangerous for the student in a safe
manner (for example, simulating radioactive decay).
