STEM is an acronym for the fields of science, technology, engineering and math and it has a push within United States, however there is a big factor is not taken into consideration yet by the masses in the world of Education, and that is the best use of Big Data. This is a lacking factor, as we are still exploring Big Data and its utilization at a novice level by our selves. Education by itself is a huge and vast field to conduct the research, by have an exploration within the research world of Education, and it has journals, conferences, books, curriculum and more available in either or the print and electronic archives of the research work in terms of thesis, dissertations, white papers, research articles and more.
Once the embedding of Big Data researchers and Education researchers, this marriage will generate results, which will actually be considered as the golden needle found from the hay stack of Big Data. A child, who does not know how to write or read is smarter enough to use a computer/mouse/iPad etc, without any instruction set provided. This is learning by watching someone, in this case an adult's behavior of utilizing the smart device. In case, if an eigth grader give a visual programming task of a lego robot, it is easy for this 8th grader to arrange the command set of the graphical user interface of a programming tool to write a code to program the brick of lego robot with a processor attached to make this lego robot to maneuver on its own within a specified domain by this 8th grader.
The Set theory applies to Biology, Chemistry, Mathematics and rest all subjects that we teach our children in our traditional school system. This theory is clear about the use of UNION, in general life a marriage is considered a union a combining of two life partners, and this is part of the Set theory, This article is not to introduce Set theory it is utilized to exemplify that we use in our daily life numbers and more, which is based on some form of Mathematics,
It will be great for someone to take leadership and start to create a curriculum after reading this article, that combines the research of STEM in education and the proper use of Big Data to assist this research work by getting embedded and produce or find the golden needle in the most important field of a combined education for all to benefit from.
Comment
Kirk, Atif,
During the development of my project, I had built some kind of Google Correlate findings database intended to be used as introductory examples of Big Data.
There is a lot of material yet to be included but you can have an idea of it by inspecting the site:
http://www.searchcorrelations.com
Feedback is most welcome.
Thanks Louis, Statistics is the main running partner in Big Data....
Atif, interesting concept, and one I support. I think that it requires a knowledge of statistics to handle Big Data. I have seen proposals that statistics be required and stressed at the high school level rather than calculus. Of course, those that are interested in calculus will take it. If you are going into science or engineering, you will need calculus. My older son took both AP Statistics and AP Calculus (as well as multivariate calculus).
If you think about it in terms of practical skills and wide application, statistics is more important in most fields. Even in manufacturing, many companies teach statistics to their industrial workers so that they can participate in quality control efforts. This was pioneered by the Japanese. Statistics is also used in areas like social sciences and economics more than calculus. More and more often these areas will be affected by Big Data concepts.
Interesting resources, Kirk.
I'll explore these sites.
Thank you for sharing.
As I see it, Big Data is not a mere buzzword, not mere sales pitch, not even a new word for data mining or other previously existent techniques.
To my understanding, emergence is the key word to really understand Big Data, quite a "Fourth Paradigm," as Jim Gray put it. As we know, philosopher G. H. Lewes coined the word more than a century ago, saying "The emergent is unlike its components insofar as these are incommensurable, and it cannot be reduced to their sum or their difference." That is, it's the (big) volume of data that provides the complexity needed for the emergence of data correlations that were unpredictable at small scale, even from samples (subsets) from the big one. And that's why we are talking about it now and not before: it's because now we have the volumes and the tools to see and to analyze these emergent correlations.
As a researcher in Education, I'm involved with Big Data because I believe that we need new STEM curricula that prepare our students not only to handle big databases and all those tools such as Hadoop and MapReduce, but to be able to find the scientific rationale (if existent) behind the found correlations and to handle the ethic challenges Big Data poses in our daily life.
What do you think about the importance of emergence in the characterization of Big Data?
Thank you, Kirk. I'll keep all of you informed.
I don't know what it means to be part of your project, but please keep me informed, since this is one area where I am devoting myself completely.
Dear Renato, count me in.
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