Dynamic Collaboration: The Effects of External Rules and Collaboration Scope on Interlocal Collaboration

2020 ◽  
Vol 37 (6) ◽  
pp. 823-841
Author(s):  
Jisun Youm ◽  
Jessica Terman
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Chi-Tung Cheng ◽  
Chih-Chi Chen ◽  
Chih-Yuan Fu ◽  
Chung-Hsien Chaou ◽  
Yu-Tung Wu ◽  
...  

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.


2013 ◽  
Vol 42 (4) ◽  
pp. 2235-2244 ◽  
Author(s):  
Jan O. Haerter ◽  
Cecilia Lövkvist ◽  
Ian B. Dodd ◽  
Kim Sneppen

Abstract Inheritance of 5-methyl cytosine modification of CpG (CG/CG) DNA sequences is needed to maintain early developmental decisions in vertebrates. The standard inheritance model treats CpGs as independent, with methylated CpGs maintained by efficient methylation of hemimethylated CpGs produced after DNA replication, and unmethylated CpGs maintained by an absence of de novo methylation. By stochastic simulations of CpG islands over multiple cell cycles and systematic sampling of reaction parameters, we show that the standard model is inconsistent with many experimental observations. In contrast, dynamic collaboration between CpGs can provide strong error-tolerant somatic inheritance of both hypermethylated and hypomethylated states of a cluster of CpGs, reproducing observed stable bimodal methylation patterns. Known recruitment of methylating enzymes by methylated CpGs could provide the necessary collaboration, but we predict that recruitment of demethylating enzymes by unmethylated CpGs strengthens inheritance and allows CpG islands to remain hypomethylated within a sea of hypermethylation.


Author(s):  
Osama Mansour ◽  
Dave Randall ◽  
Linda Askenäs

The widespread adoption and use of social media in almost every aspect of our daily lives may outpace existing empirical understandings. In organizations, social media are increasingly used by professional individuals and communities to support dynamic collaboration and knowledge sharing. While there is a growing amount of research on this subject, still little is known on how people use different kinds of social media in practice. That is, there is a need for an empirical understanding that addresses actual use practices of social media within the formal boundaries of organizations. To this end, we report on results from a qualitative comparative study of the use of wikis at two global organizations. Our aim is to develop an empirical understanding of the enactment of structures and the ways by which people structure and organize their wiki use practices by drawing on Orlikowski's (2000) practice lens. The findings from the authors analysis suggest a number of enacted structures that reflect diverse wiki use practices. The main contribution centers on developing three key mechanisms that provide means for understanding the structuring of the use of technology.


2021 ◽  
Author(s):  
Raja Oloan Tumanggor

This study analyzes the extent to which the influence of the classroom climate on academic resilience,Mastery Goal Orientation (MGO) and learning achievement. Classroom climate is a psychosocial atmosphere created through the interaction between lecturers and students during the learning process in the classroom. Goodclassroom climate is created through dynamic collaboration through social interaction between faculty and students.While academic resilience is someone toughness in the face of a variety of academic tasks in the educational environment. A student whose academic resiliens will not be easy to despair in the face of academic difficulties. WhileMGO is a part of the motivation that encourages a student to master the course material, so that he was able tocomplete the task with good lectures. The results of a student learning achievement called learning achievement. Bea reflection of the learning achievement of learning outcomes in a given period of time. From a study of 90 studentsof a private university in Jakarta, the results showed that the first, classroom climate has a significant influence onacademic resilience and MGO. Secondly, there is the effect of MGO on academic resilience. Third, classroom climate,academic resilience, and MGO did not have a significant effect on learning achievement.


Sign in / Sign up

Export Citation Format

Share Document