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Title:
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MAXIMIZING THE POTENTIAL OF TRANSPARENT
SIMULATIONS BY COMBINING PERFORMANCE GOALS
WITH LEARNING GOALS AND EXPLORATORY
GUIDANCE IN A DYNAMICALLY COMPLEX TASK |
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Author(s):
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Carlos Capelo and Renato Pereira |
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ISBN:
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978-989-8704-33-7 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2021 |
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Edition:
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Single |
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Type:
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Full |
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First Page:
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147 |
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Last Page:
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154 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Simulation-based learning environments have been proposed by researchers, as educational tools to support learning in
complex business systems. However, studies have evidenced that subjects may nevertheless have great difficulty
understanding and managing dynamic systems. Previous research has revealed positive learning and performance effects
of using transparent simulations (that is, revealing users the structure and behaviour of the simulator model). This study
explores the effects of combining exploratory guidance, learning goals, and performance goals in a transparent simulation
of a dynamically complex system. We present a set of hypotheses about the influence of different goal-setting conditions
on participants' performance and comprehension of the system dynamics. In a simulation experiment, participants
interacted with a system dynamics model representing the growth of a business venture. Participants who previously
worked higher learning goals under exploratory guidance and were then submitted to higher performance goals
(compared to vague goals) achieved higher performance and demonstrated better comprehension of the model dynamics.
However, participants who were only subjected to more specific, high performance goals (compared to vague
performance goals) did not improve their outcomes and revealed larger differences within the treatment group. Two out
of the four hypotheses were confirmed. In a transparent simulation of a dynamically complex system, setting specific,
high learning goals, previously worked through exploratory guidance, positively moderates the impact of the level of
performance goals on the comprehension of the model dynamics and performance. |
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