Educational Data Mining

It targets to deliver the education zone, which yields the biggest volumes of records each day, within the data mining region so that this large quantity of data can be pre-processed to retrieve genuine, beneficial & actionable data. While a whole lot of people make contributions to educational content, their authenticity is at stake. This content can be labeled as data & not actual information. So that in order to retrieve data, an expert has to parse through all information, using his very own set of abilities, after which its personal authenticity is confirmed. Data mining strategies can explore data; however, they continually need the professional recommendation to make very last decisions, particularly when the line between data & information is the blur.
  • Analysis & visualization of data
  • Student modeling
  • Developing concept maps
  • Constructing courseware
  • Distillation of data for human judgment