Driving self-learning system based on the virtual reality

2017 ◽  
Author(s):  
Daowei Sun ◽  
Xianzhong Liu
Keyword(s):  
Virtual Reality ◽  
Learning System ◽  
Self Learning

Self-learning System Using Lecture Information and Biological Data

2006 ◽  
pp. 1010-1018
Author(s):  
Yurie Iribe ◽  
Shuji Shinohara ◽  
Kyoichi Matsuura ◽  
Kouichi Katsurada ◽  
Tsuneo Nitta
Keyword(s):  
Biological Data ◽  
Learning System ◽  
Self Learning

A novel online self-learning system with automatic object detection model for multimedia applications

2020 ◽  
Author(s):  
Eric Juwei Cheng ◽  
Mukesh Prasad ◽  
Jie Yang ◽  
Ding Rong Zheng ◽  
Xian Tao ◽  
...  
Keyword(s):  
Object Detection ◽  
Multimedia Applications ◽  
Learning System ◽  
Detection Model ◽  
Self Learning

scholarly journals 3D anatomy learning system using Virtual Reality and VR Controller

2019 ◽  
Vol 1235 ◽  
pp. 012043 ◽  
Author(s):  
F Fahmi ◽  
F Nainggolan ◽  
B Siregar
Keyword(s):  
Virtual Reality ◽  
Learning System ◽  
3D Anatomy

scholarly journals The Use of Virtual Reality in Geo-Education

2020 ◽  
Vol 15 (20) ◽  
pp. 59
Author(s):  
Nurzhanat Dalelovna Shakirova ◽  
Nidal Al Said ◽  
Svetlana Mihailovna Konyushenko
Keyword(s):  
Virtual Reality ◽  
Subjective Assessment ◽  
Physical Geography ◽  
Google Earth ◽  
Learning System ◽  
Technological Capabilities ◽  
Before And After ◽  
E Learning ◽  
The Impact

The paper discusses the technological capabilities of virtual reality (VR) in the field of education as a highly developed form of computer modeling. VR is con-sidered to be able to revolutionize the education field since it provides better en-gagement in learning activities than other teaching methods. In order to study the impact of VR technology on ensuring the quality of e-learning, an experiment is conducted during the Physical Geography online course. The current research in-volves 60 third-year students from the Abai Kazakh National Pedagogical Uni-versity, Moscow Pedagogical State University, and Ajman University. All the re-spondents were divided into two groups. The training of the first group is under-gone through distance learning in the Moodle e-learning system, while the educa-tional process of the second is supplemented with the technological capabilities of the latest VR services (Google Earth, Apple Maps, My Way VR, The VR Muse-um of Fine Art). During the study, students’ subjective assessment of the training is performed according to the basic, expected, and desirable criteria. The exami-nation is carried out in two stages - before and after the course. At the first stage of the assessment, the use of VR corresponds to the desired quality of the educa-tional product. However, after the course and the acquiring of virtual experience, the transfer of the students' desired training criteria into the expected can be ob-served. This indicates a high degree of adaptability of VR technology in educa-tion as well as an increase in the respondents' requirements against the quality of subsequent training courses. Consequently, a significant impact of immersive technology's evolution on the demands on the e-learning quality can be noted.

Virtual Reality Learning System for Digital Terrain Model Surveying Practice

2008 ◽  
Vol 134 (4) ◽  
pp. 335-345 ◽  
Author(s):  
Chen-Min Li ◽  
I.-Cheng Yeh ◽  
Shin-Feng Chen ◽  
Tusang-Yuan Chiang ◽  
Li-Chuan Lien
Keyword(s):  
Virtual Reality ◽  
Digital Terrain Model ◽  
Learning System ◽  
Terrain Model ◽  
Digital Terrain
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