A secure dynamic collaboration environment in a cloud context

2016 ◽  
Vol 55 ◽  
pp. 165-175 ◽  
Author(s):  
Chris Piechotta ◽  
Martin Grooss Olsen ◽  
Adam Enø Jensen ◽  
Joey W. Coleman ◽  
Peter Gorm Larsen
Keyword(s):  
Collaboration Environment ◽  
Dynamic Collaboration

scholarly journals Artificial intelligence-based education assists medical students’ interpretation of hip fracture

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Chi-Tung Cheng ◽  
Chih-Chi Chen ◽  
Chih-Yuan Fu ◽  
Chung-Hsien Chaou ◽  
Yu-Tung Wu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Medical Education ◽  
Hip Fracture ◽  
Medical Students ◽  
Medical Image ◽  
Learning System ◽  
Significant Difference ◽  
Dynamic Collaboration ◽  
Increase In Accuracy ◽  
Image Learning

Abstract Background With recent transformations in medical education, the integration of technology to improve medical students’ abilities has become feasible. Artificial intelligence (AI) has impacted several aspects of healthcare. However, few studies have focused on medical education. We performed an AI-assisted education study and confirmed that AI can accelerate trainees’ medical image learning. Materials We developed an AI-based medical image learning system to highlight hip fracture on a plain pelvic film. Thirty medical students were divided into a conventional (CL) group and an AI-assisted learning (AIL) group. In the CL group, the participants received a prelearning test and a postlearning test. In the AIL group, the participants received another test with AI-assisted education before the postlearning test. Then, we analyzed changes in diagnostic accuracy. Results The prelearning performance was comparable in both groups. In the CL group, postlearning accuracy (78.66 ± 14.53) was higher than prelearning accuracy (75.86 ± 11.36) with no significant difference (p = .264). The AIL group showed remarkable improvement. The WithAI score (88.87 ± 5.51) was significantly higher than the prelearning score (75.73 ± 10.58, p < 0.01). Moreover, the postlearning score (84.93 ± 14.53) was better than the prelearning score (p < 0.01). The increase in accuracy was significantly higher in the AIL group than in the CL group. Conclusion The study demonstrated the viability of AI for augmenting medical education. Integrating AI into medical education requires dynamic collaboration from research, clinical, and educational perspectives.

scholarly journals Towards Using an E-learning Hybrid model of IS Success and Open Innovation Through an International Innovative Collaboration Environment in Iraqi Universities

2018 ◽  
Vol 4 (2) ◽  
pp. 11-17
Author(s):  
Mohamed Ali Mahmod ◽  
Asma Md. Ali
Keyword(s):  
Online Education ◽  
Learning Process ◽  
Open Innovation ◽  
Learning Tools ◽  
Is Success ◽  
Electronic Learning ◽  
Collaboration Environment ◽  
Innovation Model ◽  
E Learning ◽  
Innovative Culture

Electronic Learning (e-learning) is an inventive approach to offer education using electronic means of learning contents. e-learning is an online education or distance education, which means that it can deliver education to everyone around the world online through the electronic means such as the internet from different distant countries. The success of E-learning process in universities needs some factors that should be fit with the revolution of technology and enhance the learner’s knowledge. In order to adapt to the rapid growth of technology, Universities in Iraq needs to collaborate with other international universities and industries to develop e-learning tools and methods. In addition to that, Iraqi universities have to adopt collaboration culture with other universities and industries and adhocracy culture to follow the innovation in e-learning process. This paper suggests a framework that could contribute to enhancing and success e-learning in Baghdad. The IS success model of DeLone and McLean and the open innovation model will be essential in our developed e-learning framework. The developed framework relies on adopting a collaborative and innovative culture among universities to promote the e-learning process in universities in Baghdad and Iraq.

scholarly journals Application of 4D BIM in Construction Industry: Challenges and Suggestions

2021 ◽  
Vol 9 (8) ◽  
pp. 3070-3073
Author(s):  
Sagar V. Mundhokar
Keyword(s):  
Work Environment ◽  
Construction Industry ◽  
Information Technologies ◽  
Building Information Modeling ◽  
Collaborative Work ◽  
Information Modeling ◽  
Delivery Performance ◽  
Collaboration Environment ◽  
Building Information

Abstract: Construction industry is believed to be one of the most criticized industries worldwide. During the last two decades, this criticism has denoted a lot of problems. Without disregarding any of the industry problems, it seems that the most criticized problems are low delivery performance, lack of innovation, lack of collaboration and fragmented nature of the industry. To overcome these problems, a collaborative work environment is needed. During the last few years, the use of advanced information technologies in construction hasincreased to support the industry requirement of collaboration environment. Keywords: Building Information Modeling BIM, BIMimplementation, BIM Barriers

Sign in / Sign up

Export Citation Format

Share Document