The first article discusses data mining and how it is still
a field of study that has a lot of room for development. One tool that is
talked about is a called Syllabus Finder that can be used to find information
about over 600,000 courses that have been taught. This is a very useful tool if
you are trying to learn a lot about a specific subject. Essentially digitizing
written material is the essential prerequisite to having an effective
data-mining medium. I believe we should make an effort to digitize as much
written material as we can because if it were available online then those works
would be available to many more people.
The second article explains what the steps in setting up the
data mining process should be. It talks about how a large number of texts are
needed and how they need to be properly categorized. It is useful to do much of
what the article suggests because organization is necessary in setting up a
proper data mining entity. I believe that the use of charts and graphs to
properly categorize data is also a useful way to go because they help add a
visual component to people doing research on a particular subject. There are
numerous possibilities with how information can be displayed using data mining
technologies and the number of these technologies grows everyday. These
technologies should be a high priority in the future of academia.
The third article helps to give credence to my argument that
visualization is a useful tool in teaching. The applications of a picture are
numerous because they can help explain difficult concepts in a single image
that could take pages of a book to do. It is much more interesting to many
people to look at data in a chart or graph form because we live in a digitized
society. On the whole increasing digitization of texts and sometimes converting
the information in them into graph form is an excellent set of developments
that I hope will continue well into the future.