Behavioural intentions of using virtual reality in learning: perspectives of acceptance of information technology and learning style

Shen, Chien Wen; Ho, Jung tsung; Ly, Pham Thi Minh; Kuo, Ting chang

doi:10.1007/s10055-018-0348-1

Cited by 115 publications

(89 citation statements)

References 37 publications

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“…The random forest algorithm can determine the importance of an index by the change of OOB after adding or subtracting an index factor. Samples that are early enough are generated randomly within the classification interval without loss of generality and can avoid noise pollution, so the measurement of the importance of ecological security evaluation index is more objective [28]. Step 5: model evaluation.…”

Section: Evaluation Results Of Land Securitymentioning

confidence: 99%

Internet of Things Technology in Ecological Security Assessment System of Intelligent Land

Chen

Guo

et al. 2020

IEEE Access

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The ecological security of land is related to the sustainable development of human beings. With the continuous progress of science, the evaluation standard of land ecological security is also changing. The traditional safety evaluation method is time-consuming and laborious, with high cost of data acquisition, small amount of data and large error of data itself. The establishment of intelligent land ecological security evaluation system through the Internet of things is conducive to a better understanding of the overall land situation in the region. Taking the land data of Cangzhou City, China as an example, this study uses the Internet of things technology to establish a set of intelligent evaluation and grading model. The random forest algorithm is used to evaluate the land ecological security, and combined with the existing data to predict the land ecological security in 2020-2025. Compared with other security evaluation methods, the intelligent land ecological security evaluation system in this study has the advantages of short operation time, low energy consumption and high accuracy. This method has a strong guiding significance for the future land ecological security management. INDEX TERMS Internet of things, intelligent land, random forest algorithm, short operation time, Cangzhou, evaluate.

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Section: Evaluation Results Of Land Securitymentioning

confidence: 99%

Internet of Things Technology in Ecological Security Assessment System of Intelligent Land

Chen

Guo

et al. 2020

IEEE Access

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“…Most of the research studies evaluate the impact of technological advancement to a specific area such as universal service, marketing or health care (see Table 1), while the connection between technology and human is unexplored. Health Care 3 (Vuong, 2016;Nguyen et al, 2018;Vuong et al, 2019) In the field of education, the most notable research study about information technology estimated the possibility of turning virtual reality into a study method (Shen, Ho, Pham, & Kuo, 2018). Besides that, most of the research studies investigate a variety of skills, information technology skills included, that are crucial for university students to find jobs.…”

Section: Review On Scientific Literaturementioning

confidence: 99%

The DKAP Project The Country Report of Vietnam

2019

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“…Another interesting aspect of CVEs is that they are considered useful for learning [10,33], and they could be used to enhance existing cyber training tools which are still very technical or based on serious-gaming approaches [3,30].…”

Section: Virtual Environments For Cyber Securitymentioning

confidence: 99%

From Cyber Security Activities to Collaborative Virtual Environments Practices Through the 3D CyberCOP Platform

Kabil

Duval

Cuppens

et al. 2018

Information Systems Security

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Although collaborative practices between cyber organizations are well documented, managing activities within these organizations is still challenging as cyber operators tasks are very demanding and usually done individually. As human factors studies in cyber environments are still difficult to perform, tools and collaborative practices are evolving slowly and training is always required to increase teamwork efficiency. Contrary to other research fields, cyber security is not harnessing yet the capabilities of Collaborative Virtual Environments (CVE) which can be used both for immersive and interactive data visualization and serious gaming for training. In order to tackle cyber security teamwork issues, we propose a 3D CVE called the 3D Cyber Common Operational Picture, which aims at taking advantage of CVE practices to enhance cyber collaborative activities. Based on four Security Operations Centers (SOCs) visits we have made in different organizations, we have designed a cyber collaborative activity model which has been used as a reference to design our 3D CyberCOP platform features, such as asymetrical collaboration, mutual awareness and roles specialization. Our approach can be adapted to several use cases, and we are currently developing a cyber incident analysis scenario based on an event-driven architecture, as a proof of concept.

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Behavioural intentions of using virtual reality in learning: perspectives of acceptance of information technology and learning style

Cited by 115 publications

References 37 publications

Internet of Things Technology in Ecological Security Assessment System of Intelligent Land

Internet of Things Technology in Ecological Security Assessment System of Intelligent Land

The DKAP Project The Country Report of Vietnam

From Cyber Security Activities to Collaborative Virtual Environments Practices Through the 3D CyberCOP Platform

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