AN EXPOSURE TOWARDS CONSIDERATION OF IMPORTANT FEATURES OF ONLINE TESTS BY DATA VISUALIZATION

Ravikumar Thallapalli

Abstract


Previously years, database community has committed particular efforts towards extraction of understanding from data. Probably the most important methods for understanding extraction is data mining, which apply automatic calculations to differentiate designs within assortment of huge data. Within our work we concentrate on discovery of behavioural designs of learners in addition to conceptual associations between test products. We describe a technique for discover understanding linked to student activities throughout online tests, that are utilized by tutors to create novel test methods. A manuscript symbolic approach of information visualization was introduced, which is often used inside a Understanding discovery tactic to graphically highlight behavioural designs along with other earlier unknown features connected towards the learners’ activity within online tests.


Keywords


Previously years, database community has committed particular efforts towards extraction of understanding from data. Probably the most important methods for understanding extraction is data mining, which apply automatic calculations to differentiate desig

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