Charoula Angeli|Sarah Howard|Jun Ma|Jie Yang|Paul A. Kirschner
Data mining in educational technology classroom research: Can it make a contribution?
University of Cyprus|University of Wollongong|University of Wollongong|University of Wollongong|Open University in the Netherlands|University of Oulu
paper addresses explains key questions use data mining educational technology classroom research two examples use data mining techniques namely association rules mining fuzzy representations presented study conducted europe another australia studies examine student learning behaviors experiences within computersupported classroom activities first study technique association rules mining used understand better learners different cognitive types interacted simulation solve problem association rules mining found useful method obtaining reliable data learners use simulation performance study illustrates data mining used advance educational software evaluation practices field educational technology second study technique fuzzy representations employed inductively explore questionnaire data study provides good example educational technologists use data mining guiding monitoring schoolbased technology integration efforts based outcomes implications study discussed terms need develop educational data mining tools display results information explanations comments recommendations meaningful ways nonexpert users data mining lastly issues related data privacy addressed