scholarly journals Learning and Long-Term Retention of a Complex Sensorimotor Task Within an Immersive Virtual Reality Environment in a Non-Injured Population

2017 ◽  
Vol 4 (13) ◽  
pp. 153512
Author(s):  
Amanda E. Markham ◽  
Kathrine A. Haluch ◽  
Trevor B. Viboch ◽  
John-David Collins ◽  
Pinata H. Sessoms
1999 ◽  
Author(s):  
Michael S. Miller ◽  
Deborah M. Clawson ◽  
Marc M. Sebrechts

2019 ◽  
Vol 9 (21) ◽  
pp. 4625 ◽  
Author(s):  
Diego Vergara ◽  
Jamil Extremera ◽  
Manuel Pablo Rubio ◽  
Lílian P. Dávila

The increasing dissemination of virtual reality learning environments (VRLEs) compels the elucidation of how these didactic tools can improve their effectiveness at the formative level. The motivation generated in students by a VRLE is revealed as a key factor in achieving meaningful learning, but such a motivation by itself alone does not guarantee the long-term retention of knowledge. To identify the necessary characteristics of a VRLE to achieve an appropriate level of meaningful learning, this paper compares a set of VRLEs created in previous years with a group of recently developed VRLEs, after being used by engineering students. A description of the design process of the both VRLEs groups is included in this paper. Most significantly, analysis of the response of a total of 103 students in a specific survey reveals how a step-by-step protocol system helped improve students' knowledge and retention after one year of using a VRLE. Thus, this study not only demonstrates the importance of using modern development engines when creating or updating a VRLE to achieve student motivation, but also justifies in many cases the use of a step-by-step protocol as a method to improve the long-term retention of knowledge.


2021 ◽  
Author(s):  
Julia Mae Juliano ◽  
Nicolas Schweighofer ◽  
Sook-Lei Liew

Abstract Background: Complex motor tasks in immersive virtual reality using a head-mounted display (HMD-VR) have been shown to increase cognitive load and decrease motor performance compared to conventional computer screens (CS). Separately, visuomotor adaptation in HMD-VR has been shown to recruit more explicit, cognitive strategies, resulting in decreased implicit mechanisms thought to contribute to motor memory formation. However, it is unclear whether visuomotor adaptation in HMD-VR increases cognitive load and whether cognitive load is related to explicit mechanisms and long-term motor memory formation.Methods: We randomized 36 healthy participants into three equal groups. All groups completed an established visuomotor adaptation task measuring explicit and implicit mechanisms, combined with a dual-task probe measuring cognitive load. Then, all groups returned after 24-hours to measure retention of the overall adaptation. One group completed both training and retention tasks in CS (measuring long-term retention in a CS environment), one group completed both training and retention tasks in HMD-VR (measuring long-term retention in an HMD-VR environment), and one group completed the training task in HMD-VR and the retention task in CS (measuring context transfer from an HMD-VR environment). A Generalized Linear Mixed-Effect Model (GLMM) was used to compare cognitive load between CS and HMD-VR during visuomotor adaptation, t-tests were used to compare overall adaptation and explicit and implicit mechanisms between CS and HMD-VR training environments, and ANOVAs were used to compare group differences in long-term retention and context transfer.Results: Cognitive load was found to be greater in HMD-VR than in CS. This increased cognitive load was related to decreased use of explicit, cognitive mechanisms early in adaptation. Moreover, increased cognitive load was also related to decreased long-term motor memory formation. Finally, training in HMD-VR resulted in decreased long-term retention and context transfer.Conclusions: Our findings show that cognitive load increases in HMD-VR and relates to explicit learning and long-term motor memory formation during motor learning. Future studies should examine what factors cause increased cognitive load in HMD-VR motor learning and whether this impacts HMD-VR training and long-term retention in clinical populations.


2006 ◽  
Author(s):  
Pooja K. Agarwal ◽  
Jeffrey D. Karpicke ◽  
Sean H. Kang ◽  
Henry L. Roediger ◽  
Kathleen B. McDermott

2020 ◽  
Author(s):  
alice latimier ◽  
Arnaud Rierget ◽  
Son Thierry Ly ◽  
Franck Ramus

The current study aimed at comparing the effect of three placements of the re-exposure episodes on memory retention (interpolated-small, interpolated-medium, postponed), depending on whether retrieval practice or re-reading was used, and on retention interval (one week vs one month).


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