نتایج جستجو برای: participation intraining courses
تعداد نتایج: 142633 فیلتر نتایج به سال:
We review past studies on how scientists view the public, the goals of communication, the performance and impacts of the media, and the role of the public in policy decision-making. We add to these past findings by analyzing two recent large-scale surveys of scientists in the UK and US. These analyses show that scientists believe the public is uninformed about science and therefore prone to err...
Background and purpose: Oral Rehydration Therapy (ORT) is recommended in cases of mild to moderate dehydration for better treatment of acute diarrhea in children. This study aimed at assessing the knowledge and attitudes of physicians working in health centers and emergency departments in Mazandaran province about ORT in children with acute diarrhea. Materials and methods: In a cross-section...
Online discussion activities are designed for computer-mediated learning activities in face-to-face, hybrid, and totally online courses. The use of asynchronous computer-mediated communication (A-CMC) coupled with authentic workplace case studies provides students in the protected learning environment with opportunities to practice workplace decision making and communication. In this study, com...
The study explores whether the use of Twitter in Massive Open Online Courses (MOOCs) promotes the interaction among learners. The social network analysis shows that instructors still play a very central role in the social media communication and the communication network between students shrinking over time. The mere use of social media fails to promote learner-learner interaction. More researc...
Massive open online courses (MOOCs) have been integrated into higher education systems as an option for delivering professional degree and certificate programs; however, concerns about whether employed professionals actively participate in MOOCs remain unresolved. Some researchers described learners’ employment the major cause of attrition from MOOCs, but research has not addressed how learners...
Predictive models are able to predict edX student grades with an accuracy error of 0.1 (10%, about one letter grade standard deviation), based on participation data. Student background variables are not useful for predicting grades. By using a combination of segmentation, random forest regression, linear transformation and application beyond the segmented data, it is possible to determine the p...
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