Data mining is the process used to explore and analyze large amounts of data. The researcher looks for patterns, relationships, and findings within the data. This can then be a predictor for future knowledge and inquiry. As stated in Statsoft, data mining "can guide decisions in conditions of limited certainty."
Data mining can occur in different forms. A few are:
My study will benefit from data mining because I will be able to use it as a predictor for future use. It will help me see patterns in the use of Seesaw. Was it effective? If so, with what demographics? If not, what pattern was consistent that may show the failures? I hope that data mining will do more than just show patterns, but will offer reasons for the why parts of the study happened the way they did. I hope to find answers within the data that can improve the experience for students next time it is used. Berson, A., Smith, S., and Thearling, K. An Overview of Data Mining Techniques. Retrieved from http://www.thearling.com/text/dmtechniques/dmtechniques.htm StatSoft. 2017. What is Data Mining? (Predictive Analytics, Big Data). Retrieved from http://www.statsoft.com/Textbook/Data-Mining-Techniques
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Author2nd Grade teacher at Keet Gooshi Heen in Sitka, Alaska Archives
December 2017
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