Familiarity and Usage of Social Media Technology: An Exploratory Study of Teachers in Ghana
Yeboah Solomon Tawiah,
Horsu Emmanuel Nondzor
Issue:
Volume 3, Issue 2, April 2015
Pages:
50-59
Received:
27 January 2015
Accepted:
9 February 2015
Published:
15 February 2015
Abstract: The growth of social media sites has been a phenomenon in the last few years. However, not much is known about how teachers have embraced the technology as the phenomenon is virtually unexplored in the extant literature in Ghana. The research therefore explored this issue by examining familiarity and usage of social media technology among teachers in Ghana. Teachers in Ghana were randomly selected from ten schools and pretested questionnaires were randomly administered to them. The empirical evidence suggested that majority of the teachers were familiar with social media technology and are using one or more of these social media sites. They access the social media sites through their smart phone as a preferred mode of internet device. The most familiar social media sites which emerged were Facebook [99%], Wiki [99%], followed by YouTube [98.5], Instagram [91.4%], Web-blogs [87.8%], Slideshare [84%] and LinkedIn [76.1%]. However, Facebook and YouTube are the most used media sites among the teachers with 96.4% and 93.9% respectively. They spend over 22hours a week on the sites for several purposes including personal and professional development. In spite of the increasing usage, over 76% of the teachers have not integrated it for instructional purpose in the classroom although few of them occasionally share academic and useful information to their students. Some of the reasons which were given for not using the tools for instructional purpose include, fear of privacy violation, not part of curriculum, cyber abuse, distraction of students’ studies and infrastructural problems among others.
Abstract: The growth of social media sites has been a phenomenon in the last few years. However, not much is known about how teachers have embraced the technology as the phenomenon is virtually unexplored in the extant literature in Ghana. The research therefore explored this issue by examining familiarity and usage of social media technology among teachers ...
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Study on Order Batching Model Design Based on Hopfield Neural Network
Hong Zhang,
Jie Zhu,
Li Zhou
Issue:
Volume 3, Issue 2, April 2015
Pages:
60-64
Received:
11 April 2015
Accepted:
18 April 2015
Published:
4 May 2015
Abstract: With the rapid development of e-commerce and the global economy, order picking mode of multiple batches and small quantities becoming more and more, which makes artificial picking system occupy a larger proportion in a variety of ways. The optimization study of the artificial person picking system has a crucial role to enhance the efficiency of batch picking, then increasing customer satisfaction. For order batching problem, according to scholars in the study of this problem, including taking the picking equipment capacity and load restrictions into account rarely. In the paper, Hopfield Neural Network algorithm for sorting equipment were chosen to establish a capacity constraint order batching model which taking shortest path of all orders as the objective function and maximum equipment utilization order batching model.
Abstract: With the rapid development of e-commerce and the global economy, order picking mode of multiple batches and small quantities becoming more and more, which makes artificial picking system occupy a larger proportion in a variety of ways. The optimization study of the artificial person picking system has a crucial role to enhance the efficiency of bat...
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