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LEARNING FOR THE NEXT GENERATION: PREDICTING THE USAGE OF SYNTHETIC LEARNING ENVIRONMENTS
Title
LEARNING FOR THE NEXT GENERATION: PREDICTING THE USAGE OF SYNTHETIC LEARNING ENVIRONMENTS.
Creator
Evans, Arthur, Jentsch, Florian, University of Central Florida
Abstract / Description
The push to further the use of technology in learning has broadened the attempts of many to find innovated ways to aid the new, technologically savvy generation of learners, in acquiring the knowledge needed for their education and training. A critical component to the success of these initiatives is the proper application of the science of learning (Cannon-Bowers and Bowers, 2009). One technological initiative that can benefit from this application is the use of synthetic learning...
Show moreThe push to further the use of technology in learning has broadened the attempts of many to find innovated ways to aid the new, technologically savvy generation of learners, in acquiring the knowledge needed for their education and training. A critical component to the success of these initiatives is the proper application of the science of learning (Cannon-Bowers and Bowers, 2009). One technological initiative that can benefit from this application is the use of synthetic learning environments (SLEs). SLEs are instructional systems embedded within virtual worlds. These worlds can be simulations of some task, for instance a simulation that may be completed as part of a military training to mimic specific situations, or they could be in the form of a video game, for example, a game designed to maintain the attention of school children while teaching mathematics. The important components to SLEs are a connection to the underlying task being trained and a set of goals for which to strive toward. SLEs have many unique characteristics which separate them from other forms of education. Two of the most salient characteristics are the instructorless nature of SLEs (most of the learning from SLEs happens without instructor interaction) and the fact that in many cases SLEs are actually fun and engaging, thus motivating the learner to participate more and allowing them to experience a more immersive interaction. Incorporating the latter of these characteristics into a model originally introduced by Davis (1989) and adapted by Yi and Hwang (2003) for use with web applications, an expanded model to predict the effects of enjoyment, goal orientation, ease of use, and several other factors on the overall use of SLEs has been created. Adapting the Davis and Yi and Hwang models for the specific use of SLEs provides a basis understanding how each of the critical input variables effect the use and thus effectiveness of learning tools based on SLEs. In particular, performance goal orientation has been added to the existing models to more accurately reflect the performance characteristics present in games. Results of this study have shown that, in fact, performance goal orientation is a significant factor in the SLE Use and Learning model. However, within the model it is important to distinguish that the two varieties of performance goal orientation (prove and avoid) play different roles. Prove performance goal orientation has been shown to have significant relationships with several other critical factors while avoid performance goal orientation is only accounted for in its significant correlation with prove performance goal orientation. With this understanding, training developers can now have a better understanding of where their resources should be spent to promote more efficient and effective learning. The results of this study allow developers to move forward with confidence in the fact that their new learning environments will be effective in a number of realms, not only limited to classroom, business, or military training.
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Date Issued
2010
Identifier
CFE0003060, ucf:48298
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0003060
Investigating the Role of Cognitive Load in Synthetic Learning Environments for Training
Title
Investigating the Role of Cognitive Load in Synthetic Learning Environments for Training.
Creator
Goh, Joelene, Bowers, Clint, Barber, Daniel, Jex, Steve, University of Central Florida
Abstract / Description
Ensuring effectiveness of training programs has been a dominant theme in the training industry, and is constantly evolving with the steady incorporation of emerging technology. This field study offers an investigation into the intersection between the applied and research world, and examines the practicality of recommended best practices for implementing synthetic learning environments (SLEs) in the military. Specifically, cognitive load has been identified as a significant factor in...
Show moreEnsuring effectiveness of training programs has been a dominant theme in the training industry, and is constantly evolving with the steady incorporation of emerging technology. This field study offers an investigation into the intersection between the applied and research world, and examines the practicality of recommended best practices for implementing synthetic learning environments (SLEs) in the military. Specifically, cognitive load has been identified as a significant factor in influencing the effectiveness of training programs. Research on this topic has focused on utilizing the affordances of SLEs to decrease cognitive load imposed by the material and system in order to allow for more cognitive resources to be allocated towards schema construction and automation. Therefore, this study was derived from a need to ensure that the introduction of SLEs into training programs did not hinder learning or training transfer by comparing the performance outcome measures from two SLEs, Virtual BattleSpace 3 (VBS3) and the Military OpenSimulator Enterprise Strategy (MOSES). Based on concepts of cognitive load, it was possible that any group differences could be explained by the varying levels of cognitive load imposed by either system. Furthermore, the specific system could influence the strength of the effect of cognitive load on performance measures. A conditional process analysis model was constructed from the theorized relationships, and the bootstrap method was used to analyze the model. Research findings indicated no support, and discussions delved into possible explanations for results of the study, limitations, and recommendations for future research. While the analyses were nonsignificant, this was the first study investigating the difference between the VBS3 and MOSES platform, and indicated no difference in impacting performance. Additionally, because MOSES is a free, open source platform, this study could support industries that are looking for cost-effective methods to expand training programs in the direction of SLEs.
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Date Issued
2018
Identifier
CFE0007007, ucf:52031
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0007007
LEARNING AFRICAN-AMERICAN HISTORY IN A SYNTHETIC LEARNING ENVIRONMENT
Title
LEARNING AFRICAN-AMERICAN HISTORY IN A SYNTHETIC LEARNING ENVIRONMENT.
Creator
Greenwood-Ericksen, Adams, Hancock, Peter, University of Central Florida
Abstract / Description
Synthetic Learning Environments (SLEs) represent a hybrid of simulations and games, and in addition to their pedagogical content, rely on elements of story and interactivity to drive engagement with the learning material. The present work examined the differential impact of varying levels of story and interactivity on learning. The 2x2 between subjects design tested learning and retention among 4 different groups of participants, each receiving one of the 4 possible combinations of low and...
Show moreSynthetic Learning Environments (SLEs) represent a hybrid of simulations and games, and in addition to their pedagogical content, rely on elements of story and interactivity to drive engagement with the learning material. The present work examined the differential impact of varying levels of story and interactivity on learning. The 2x2 between subjects design tested learning and retention among 4 different groups of participants, each receiving one of the 4 possible combinations of low and high levels of story and interactivity. Objective assessments of participant performance yielded the unexpected finding that learners using the SLE performed more poorly than any other learning group, including the gold-standard baseline. This result is made even more surprising by the finding that participants rated their enjoyment of and performance in that condition highest among the four conditions in the experiment. This apparent example of metacognitive bias has important implications for understanding how affect, narrative structure, and interactivity impact learning tasks, particularly in synthetic learning environments.
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Date Issued
2008
Identifier
CFE0002087, ucf:47580
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0002087