New Post for XENX009

I’ve updated my blog in page XENX009, please check it there.:)

Aside

All the goals are for my master degree thesis.

1. Research process knowledge

2. Writing process knowledge

3. Language knowledge

Rubric

101 rubric

Team Work with Yu

In order to improve the “student’s command of English”(Sowden, 2004, 22 ), oral presentations can be used with plagiarism at first but not in the critical written work. With the development of English skills, the “proportion of the oral presentations and progress tests”(Sowden, 2004,) should decrease until the last year. Finally, there is only written work existed in the coursework. By using this method, student will avoid the pagiarism step by step.

Reflection

My research is concentrate on the effect of mobile devices especially the smart phone on the development of group cohesion in a mobile community. Nowadays more and more reaserachers pay more attention  to the combination of mobile technology and social network.  Like the annotated bibliographies mentioned  some researchers have already known there is a positive effect of smart phone on the development of group cohesion on a mobile community and the preference between men and women are different. In this research, I will use the qualitative method to do the research. what I would like to know more is about the  qualitative methods, how to design g a questionnaire. ,the hardest part of this proposal is  searching the critical information and come up with a  project. In my opinion, what I have done well as a student are frist try to find the critical information  and summarize the opinions of the papers and use the information that I have found.

Annotated Bibliographies

Rich, L.,& Gitte, S. (2010) Mobile Communities: Are We Talking About a Village, a Clan, or a Small Group? American Behavioral Scientist, 53(8), 1133-1147. doi:10.1177/0002764209356245

In this paper, Rich and Gitte attempted to figure out the degree of adoption and use of information and communication technology to affect the development of social cohesion in a small group. They conducted 2 surveys in 2 different ways–web-based survey and traditional telephone interviews. The sample of the surveys is random and includes approximately 1,800 Danes. According to the 2 surveys, the data shows that more than half of the danes surveyed are 15- to 24-year-old: one from 2004 (343 respondents) and one from 2006 (629 respondents). Based on the research, Rich and Gitte indicated that in a close network tie like friends and family, the mobile phones have a positive effect on development of social cohesion.  

Tasuku, I., Jiro, T., & Toshikazu,Y. (2005) Gender differences in social network development via mobile phone text messages: A longitudinal study. Journal of Social and Personal Relationships, 22(5), 691-713. doi:10.1177/0265407505056492

Tasuku, Jiro and toshikazu analyzed 3 aspects in this paper. To begin with, they explained the development of face-to-face (FTF) social networks and mobile/cell phone text message (MPTM)-mediated social networks. Then they pointed out the gender differences in the social network structure by conducting a survey. The sample of this survey includes 64 male and 68 female first-year undergraduate students in Nagoya University in Japan. The results indicated that females preferred MPTM social networks more than males. The outcomes agreed the Matsuda’s (2000) selective interpersonal relationship theory.

Ronald, E. R., & James, E. K. (2003) Comparing internet and
mobile phone usage: digital divides of usage, adoption, and dropouts. Telecommunications Policy, 27(8-9), 597-623. doi:10.1016/S0308-5961(03)00068-5

This paper mainly compares the usage differences between internet and mobile phone. Internet and mobile phone usage was very similar. In terms of both of them, there are several digital divides as well. “The study identifies and analyzes three kinds of digital divides for both the Internet and mobile phones—users/nonuser, veteran/recent, and continuing/dropout—and similarities and differences among those digital divides based on demographic variables.” The authors don not only analyzed the three kinds of digital divides in both internet and mobile phone usage separately but also analyzed the cross-categorization of Internet and mobile phone usage. Finally, the study shows that the users overlap will not lead to equivalent populations even though the usage of internet and mobile phone was at the same level in 2000.

Giovanni, V. (2004) Mobile Agents: Ten Reasons for Failure. 2004 IEEE International Conference on Mobile Data Management (MDM’04). mdm, 298

 “Mobile agents are an intriguing concept that appeared to be a viable solution to the problem of distributing computations in a very dynamic networked environment.” But there still some problems. At the same condition, other forms of code mobility can provide similar advantages without making more problems. This paper analyzes the problems associated with mobile agents and gives ten reasons for failure. Finally, the author advocated that mobile agents can be replaced by some other forms of mobility in the particular conditions.