Cultural differences in the contents of Web sites among students

Download Report

Transcript Cultural differences in the contents of Web sites among students

Cultural differences in the contents of Web sites
among students from Finland and Mexico
Miguel Santiago
Key words: Internet, web site, use of Internet (students), cultural
differences (develop and underdeveloped countries).
Introduction

The Internet plays a very important role in our societies. Through Internet
we can be in communication with other users and systems around the
world, and even buy anything with a simple click.

The Internet has changed completely the habits of many people, with this
technology we can obtain a huge amount of information with different
contents. However, the information can sometimes be incorrect, of low
quality or having malicious purposes for the users.

Several studies have evaluated the positive and negative effects that the
Internet has in the everyday life. But few studies have evaluated the quality
of the information that the people consult in the Web sites and the type of
information that is published on Internet.
Aim and questions

My area of interest is focused on basic research that
examines the cultural differences in the use of Internet
as process of learning in students, with a special interest
in technology-based environments

My objective is:
To know and evaluate the cultural differences in the use
of Internet among students of a developing country as
Finland and an underdeveloped country as Mexico.
Aim and questions (2)
My research questions are:
1) Which are the most Web sites visited in the two countries?
2) What characteristics do these Web sites have?
3) What for do these students use the Internet (e.g., homework, play games,
chat online)?
4) Which is the influence of the use of Internet in these students?
In addition, if there is one Web site of the same company, but with different
content, i.e., different quality and quantity of information.
5) Which are the differences in the content between Web sites, for example;
yahoo.com.mx and yahoo.com.fi?
Methods

The idea is to realize quantitative and qualitative
analyses to develop this research project.

I will use quantitative analyses for known if there are
differences between the countries, through the data
collection using questionnaires.

Questionnaires will be realized face to face or using
different tools on Internet (Facebook, Skype etc.). The
questionnaires will be written in Finnish, English and
Spanish languages.
Methods (2)

Aimed at students aged 15 to 24 years (50 to 100 students per
country, in secondary, high school and university).

To analyze the information obtained from students in both
countries, I will use statistical environments (R and IBM SPSS
Statistics).

In the case of the qualitative analyses; these analyses will be used
to understand, analyze and interpret the data such as social
characteristics, human experiences, sharing a common social
experience in students (for example, quality of information in Web
sides)
Results and implications

Compare the differences in the use of Internet between
the students in both countries, which differ in social,
politic aspects, religion, educational factors etc., allow
me to understand the function of this tool, the present
and future of this technology.

With this research, I will guide and support students of
different levels (secondary, high school and university)
to use in a positive way Internet as a tool that will help
them in all areas of their life, for example in their
learning skills.
References















Amichai-Hamburger Y, Furnham A. (2007). The Positive Net. Compt Hum Behav 23:1033-1045
Buckingham A, Saunders P. (2004). The Survey methods workbook: from design to analysis. Polity Press Ltd,
UK
Child health and nutrition research initiative. (2013). Quantitative and Qualitative
Research. Available from http://www.chnri.org/quantative.php.
Accessed 20.02.2013
Huang CY, Chang SS. (2009). Commonality of Web site visiting among countries. J Am Soc Inf Sci Technol
60:1168-1177
Meyen M, Pfaff-Rüdiger S, Dudenhöffer K, Huss J. (2010). The Internet in everyday life: a typology of Internet
users. Media Cult Soc 32:873-882
R Development Core Team. (2011). R: a language and environment for statistical computing. R Foundation for
Statistical Computing, Austria.
Available from http://www.R-project.org. Accessed 20.02.2013
Savolainen R. (2011). Judging the quality and credibility of information in Internet discussion forums. J Am
Soc Inf Sci Technol 62:1243-1256
SPSS. (2010) IBM SPSS Statistics 19 Core System User’s Guide. SPSS Inc.
Stepanikova I, Nie NH, He X. (2010). Time on the Internet at home, loneliness, and life satisfaction: Evidence
from panel time-diary data. Compt Hum Behav 26:329-338
Waller V. (2011). The search queries that took Australian Internet users to Wikipedia. Inform Res 16:476
Weinstein A, Lejoyeux M. 2010. Internet Addiction or Excessive Internet Use. Am J Drug Alcohol Ab 36:277283
Wong K. (2005). Wireless Internet Telecommunications. Artech House, Inc. USA