journal article·2023-04-10Open access

VR-Enhanced Cognitive Learning: Method, Framework, and Application

Wenjuan Li, Xiaolin Liu, Qifei Zhang, Bin Zhou, Ben Wang

Applied Sciences· Volume 13· Issue 8

Abstract

Both constructivist learning and situation-cognitive learning believe that learning outcomes are significantly affected by the context or learning environments. However, since 2019, the world has been ravaged by COVID-19. Under the threat of the virus, many offline activities, such as some practical or engineering courses, have been subjected to certain restrictions. Virtual Reality (VR) is an emerging, promising, and rapidly developing technology that enables users to obtain a near-real immersion experience by combining technologies such as computer science, communication, vision, etc. In the context of COVID-19, the advantages of VR immersive experiences are highlighted. By constructing a virtual learning environment, VR technology can greatly compensate for the shortage of traditional teaching conditions and help learners to carry out cognitive learning better. However, currently, VR-enhanced cognitive learning is still in its infancy, along with numerous problems and limitations. Therefore, this paper first conducted an in-depth study of some related concepts, such as constructivist learning and situated cognition learning. Then it proposes a general VR-enhanced cognitive learning framework and designs the general steps for constructing learning situations with VR technology. Based on the proposed model and framework, it developed a campus knowledge-learning APP using VR tools. Through a case study, it verified the validity and performance of the model and strategies. Questionnaire survey and experimental results show that the new model achieves a good learning effect and improves the efficiency of learning by at least 20% compared to the traditional learning methods.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Augmented Reality Applications · Virtual Reality Applications and Impacts · Robotics and Automated Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Information Science and Technology, Hangzhou Normal University, No. 16, Xuelin RD, Xiasha District, Hangzhou 310018, China

Computer Science and Technology, Zhejiang University, Hangzhou 310058, China

International College, Zhejiang University, Hangzhou 310058, China

School of Software Technology, Zhejiang University, Ningbo 315048, China

Funding

National Natural Science Foundation of China · Innovation project for high-level overseas returnees of Hangzhou · “Teacher professional development” project of domestic visiting scholars of China

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