Community-Based Scaffolding to Promote End-User Learning

Author(s):  
Brian Dorn
Daedalus ◽  
2011 ◽  
Vol 140 (4) ◽  
pp. 93-107 ◽  
Author(s):  
L. Jean Camp

The Internet is not the only critical infrastructure that relies on the participation of unorganized and technically inexpert end users. Transportation, health, waste management, and disaster preparedness are other areas where cooperation between unorganized citizens who lack experience with the domain has increased resiliency, reduced social costs, and helped meet shared goals. Theories of community-based production and management of the commons explain this type of cooperation, both offline and online. This essay examines these two complementary approaches to organizing the cybercitizen for cybersecurity. Cybersecurity discourse has reasonably focused on centralized parties and network operators. From domain name registrars to network service providers, solutions are sought through incentives, regulation, and even law enforcement. However great the ability of these centralized entities to implement change, the end user plays a crucial role. The Internet must remain open to enable innovation and diffusion of innovation; thus, the end user will continue to be important. What is the role of the citizen in cybersecurity? What socio-technical characteristics might enable a system that encourages and empowers users to create a secure infrastructure?


2016 ◽  
Vol 6 (6) ◽  
pp. 481-487 ◽  
Author(s):  
Monta Chayakonvikom ◽  
◽  
Parin Fuangvut ◽  
Nantika Prinyapol ◽  
◽  
...  

Author(s):  
Namrata DHANDA ◽  
Manuj DARBARİ ◽  
Neelu Jyoti AHUJA ◽  
Imran Ali SIDDIQU

The growing concern for education and innovative technologies has led to a new dimension of learning. The paper proposes a new framework NormATel using the concept of Normative Multi-Agent system, Activity Theory and e-Learning. The basic idea of the paper is to make e-learning more user specific using the concept of Web 3.0, like its ability to work on two separate modes: single user learning and community based learning. The proposed framework is verified using Deontic Logic.


2018 ◽  
Author(s):  
Abiud Cantu Gutierrez ◽  
Manuel Cantu Gutierrez ◽  
Alexander M. Rhyner ◽  
Oscar E. Ruiz ◽  
George T. Eisenhoffer ◽  
...  

ABSTRACTThe zebrafish Danio rerio is a powerful model system to study the genetics of development and disease. However, maintenance of zebrafish husbandry records is both time intensive and laborious, and a standardized way to manage and track the large amount of unique lines in a given laboratory or centralized facility has not been embraced by the field. Here we present FishNet, an intuitive, open source, relational database for managing data and information related to zebrafish husbandry and maintenance. By creating a “virtual facility”, FishNET enables users to remotely inspect the rooms, racks, tanks and lines within a given facility. Importantly, FishNET scales from one laboratory, to an entire facility with several laboratories, to multiple facilities, generating a cohesive laboratory and community-based platform. Automated data entry eliminates confusion regarding line nomenclature and streamlines maintenance of individual lines, while flexible query forms allow researchers to retrieve database records based on user-defined criteria. FishNet also links associated embryonic and adult biological samples with data, such as genotyping results or confocal images, to enable robust and efficient colony management and storage of laboratory information. A shared calendar function with email notifications and automated reminders for line turnover, automated tank counts and census reports promote communication with both end-users and administrators. The expected benefits of FishNET are improved vivaria efficiency, increased quality control for experimental numbers, and flexible data reporting and retrieval. FishNet’s easy, intuitive record management and open source, end user-modifiable architecture provides an efficient solution to real-time zebrafish colony management for users throughout a facility and institution, and in some cases across entire research hubs.


Symmetry ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 929 ◽  
Author(s):  
Jisun Park ◽  
Yong Jin ◽  
Seoungjae Cho ◽  
Yunsick Sung ◽  
Kyungeun Cho

With intelligent big data, a variety of gesture-based recognition systems have been developed to enable intuitive interaction by utilizing machine learning algorithms. Realizing a high gesture recognition accuracy is crucial, and current systems learn extensive gestures in advance to augment their recognition accuracies. However, the process of accurately recognizing gestures relies on identifying and editing numerous gestures collected from the actual end users of the system. This final end-user learning component remains troublesome for most existing gesture recognition systems. This paper proposes a method that facilitates end-user gesture learning and recognition by improving the editing process applied on intelligent big data, which is collected through end-user gestures. The proposed method realizes the recognition of more complex and precise gestures by merging gestures collected from multiple sensors and processing them as a single gesture. To evaluate the proposed method, it was used in a shadow puppet performance that could interact with on-screen animations. An average gesture recognition rate of 90% was achieved in the experimental evaluation, demonstrating the efficacy and intuitiveness of the proposed method for editing visualized learning gestures.


2002 ◽  
Vol 17 (S2) ◽  
pp. S48
Author(s):  
Robyn R. M. Gershon ◽  
Kristine A. Qureshi ◽  
Stephen S. Morse ◽  
Marissa A. Berrera ◽  
Catherine B. Dela Cruz

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