Abstract: The paper deals with the correlation analysis as educational data technique that is easy to interpret and simple to implement. Two datasets respectively from environment for knowledge testing and for exercise tasks modelling testing are gathered. Programming of tasks for test parameters relationships, test reliability, cheat recognition, and test validation in a specialized postprocessor tool is discussed .

Keywords: data mining, correlation analysis, dataset, test reliability, test validity, cheap recognition, postprocessor tool

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

Link:

CORRELATION ANALYSIS OF EDUCATIONAL DATA MINING BY MEANS A POSTPROCESSOR’S TOOL

Georgi Teodorov, Oktay Kir, Irina Zheliazkova

http://www.foibg.com/ijita/vol18/ijita18-3-p10.pdf