Challenging learning goals improve performance in dynamically complex microworld simulations

The use of microworld simulators in classrooms and in experimental research has grown rapidly in recent years. Advocates suggest microworlds enhance learning compared with traditional instructional materials alone. However, people often have difficulty understanding the dynamics of microworld simula...

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Main Authors: Yang, Miles, Jiang, H., Gary, M.
Format: Journal Article
Published: John Wiley & Sons 2017
Online Access:http://hdl.handle.net/20.500.11937/17546
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author Yang, Miles
Jiang, H.
Gary, M.
author_facet Yang, Miles
Jiang, H.
Gary, M.
author_sort Yang, Miles
building Curtin Institutional Repository
collection Online Access
description The use of microworld simulators in classrooms and in experimental research has grown rapidly in recent years. Advocates suggest microworlds enhance learning compared with traditional instructional materials alone. However, people often have difficulty understanding the dynamics of microworld simulations, and learning and performance on microworlds typically plateau far below even simple behavioral benchmarks. Research from organization psychology suggests that assigning specific goals improves task learning and performance. This paper reports the results of two laboratory studies that examine the effects of two types of goals and two levels of goal difficulty on performance outcomes in the widely used People Express microworld. We find that challenging compared with moderate learning goals result in higher performance outcomes. In contrast, there is no difference in performance outcomes between challenging and moderate performance goals. The findings show that including challenging learning goals in microworld instructional materials in classrooms and in experimental research will increase performance.
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institution Curtin University Malaysia
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publishDate 2017
publisher John Wiley & Sons
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spelling curtin-20.500.11937-175462017-05-05T03:35:02Z Challenging learning goals improve performance in dynamically complex microworld simulations Yang, Miles Jiang, H. Gary, M. The use of microworld simulators in classrooms and in experimental research has grown rapidly in recent years. Advocates suggest microworlds enhance learning compared with traditional instructional materials alone. However, people often have difficulty understanding the dynamics of microworld simulations, and learning and performance on microworlds typically plateau far below even simple behavioral benchmarks. Research from organization psychology suggests that assigning specific goals improves task learning and performance. This paper reports the results of two laboratory studies that examine the effects of two types of goals and two levels of goal difficulty on performance outcomes in the widely used People Express microworld. We find that challenging compared with moderate learning goals result in higher performance outcomes. In contrast, there is no difference in performance outcomes between challenging and moderate performance goals. The findings show that including challenging learning goals in microworld instructional materials in classrooms and in experimental research will increase performance. 2017 Journal Article http://hdl.handle.net/20.500.11937/17546 John Wiley & Sons restricted
spellingShingle Yang, Miles
Jiang, H.
Gary, M.
Challenging learning goals improve performance in dynamically complex microworld simulations
title Challenging learning goals improve performance in dynamically complex microworld simulations
title_full Challenging learning goals improve performance in dynamically complex microworld simulations
title_fullStr Challenging learning goals improve performance in dynamically complex microworld simulations
title_full_unstemmed Challenging learning goals improve performance in dynamically complex microworld simulations
title_short Challenging learning goals improve performance in dynamically complex microworld simulations
title_sort challenging learning goals improve performance in dynamically complex microworld simulations
url http://hdl.handle.net/20.500.11937/17546