An Efficient Approach for Analyzing User Behaviors in a Web-Based Training Environment

2003 ◽  
Vol 1 (4) ◽  
pp. 55-71 ◽  
Author(s):  
Show-Jane Yen
2016 ◽  
Vol 64 (3) ◽  
pp. 786-790
Author(s):  
Blair Gonsenhauser ◽  
Rose Hallarn ◽  
Daniel Carpenter ◽  
Michael F Para ◽  
Carson R Reider

Participant accrual into research studies is critical to advancing clinical and translational research to clinical care. Without sufficient recruitment, the purpose of any research study cannot be realized; yet, low recruitment and enrollment of participants persist. StudySearch is a web-based application designed to provide an easily readable, publicly accessible, and searchable listing of IRB-approved protocols that are accruing study participants. The Regulatory, Recruitment and Biomedical Informatics Cores of the Center for Clinical and Translational Science (CCTS) at The Ohio State University developed this research study posting platform. Postings include basic descriptive information: study title, purpose of the study, eligibility criteria and study personnel contact information. Language concerning benefits and/or inducements is not included; therefore, while IRB approval for a study to be listed on StudySearch is required, IRB approval of the posted language is not. Studies are listed by one of two methods; one automated and one manual: (1). Studies registered on ClinicalTrials.gov are automatically downloaded once a month; or (2). Studies are submitted directly by researchers to the CCTS Regulatory Core staff. In either case, final language is a result of an iterative process between researchers and CCTS staff. Deployed in January 2011 at OSU, this application has grown to approximately 200 studies currently posted and 1500 unique visitors per month. Locally, StudySearch is part of the CCTS recruitment toolkit. Features continue to be modified to better accommodate user behaviors. Nationally, this open source application is available for use.


2005 ◽  
Vol 119 (5) ◽  
pp. 356-361 ◽  
Author(s):  
Christos Georgalas ◽  
Edward Hadjihannas ◽  
Khalid Ghufoor ◽  
Paul Pracy ◽  
Michael Papesch

Objective: To assess the current status of operative training for otolaryngology specialist registrars in the United Kingdom.Design: Web-based questionnaire survey.Participants: All otolaryngology specialist registrars in the United Kingdom.Main outcome measures: The overall satisfaction with operative training was assessed as wellas the number of operations performed and level of competency in stage-specific procedures, as defined by the Joint Committee for Higher Specialist Training.Results: Otolaryngology specialist registrars are generally satisfied with the quality of their operative training. The most important predictive factor of satisfaction with operative training was the number of theatre sessions per week. The vast majority of registrars (92 per centby the end of year one, 73 per cent at the end of years two to four) appear to attain all the stage-appropriate surgical competencies during the first four years. However, with respect to the last two years of registrar training, only 26 per cent can perform all the designated (complex) procedures. There are no significant differences between deaneries or geographic regions in the overall satisfaction rates, number of operative sessions, number of operations performedor operative competencies attained.Conclusion: It appears that the Specialist Advisory Committee (SAC) is generally successful in maintaining common operative training standards and providing a homogenous training environment. During the first four years registrars attain an appropriate level of general training while the last two years are mainly devoted to subspecialty interests.


Author(s):  
Dongha Lee ◽  
Chanyoung Park ◽  
Hyunjun Ju ◽  
Junyoung Hwang ◽  
Hwanjo Yu

Users' behaviors observed in many web-based applications are usually heterogeneous, so modeling their behaviors considering the interplay among multiple types of actions is important. However, recent collaborative filtering (CF) methods based on a metric learning approach cannot learn multiple types of user actions, because they are developed for only a single type of user actions. This paper proposes a novel metric learning method, called METAS, to jointly model heterogeneous user behaviors. Specifically, it learns two distinct spaces: 1) action space which captures the relations among all observed and unobserved actions, and 2) entity space which captures high-level similarities among users and among items. Each action vector in the action space is computed using a non-linear function and its corresponding entity vectors in the entity space. In addition, METAS adopts an efficient triplet mining algorithm to effectively speed up the convergence of metric learning. Experimental results show that METAS outperforms the state-of-the-art methods in predicting users' heterogeneous actions, and its entity space represents the user-user and item-item similarities more clearly than the space trained by the other methods.


2008 ◽  
Vol 5 (4) ◽  
Author(s):  
Basil J. Janavaras ◽  
Emanuel Gomes ◽  
Richard Young

This paper seeks to confirm whether students using the Global Market Potential System Online (GMPSO) web based software, (http://globalmarketpotential.com), for their class project enhanced their knowledge and understanding of international business.  The challenge most business instructors and practitioners face is to determine how to bring the real world of business into a classroom or training environment.  Experts claim that the answer lies in the Project-Based Learning (PBL) method and web based interactive software widely used at universities and businesses around the world.  The findings indicate that the GMPSO enhanced the students’ understanding of international business and improved their team working, research and critical thinking skills.


2008 ◽  
Vol 24 (4) ◽  
pp. 385-409 ◽  
Author(s):  
Melanie Kellar ◽  
Kirstie Hawkey ◽  
Kori M. Inkpen ◽  
Carolyn Watters
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