Abstract: A methodology for application of several linear methods of prediction of correct, missing, and wrong knowledge using a postprocessor tool is presented.

Keywords: teacher, learner, moving average methods, error of prediction, methodology, prediction skill, sessionscript

ACM Classification Keywords: Computer and Information Science Education, Knowledge Representation

Link:

PREDICTION OF EDUCATIONAL DATA MINING BY MEANS OF A POSTPROCESSOR TOOL

Oktay Kir, Irina Zheliazkova

http://foibg.com/ijitk/ijitk-vol05/ijitk05-2-p10.pdf