Student Daily Practices Identification Algorithm for Mobile Learning Application

Abstract

The purpose of this study is to introduce a daily student practice identification algorithm that is capable of discovering if a quiz is good for the student as daily practice so the student can practice what he/she is not good enough and sharpen his or her skill and knowledge. The psychometric parameters of each question are studied in terms of item difficulty, item discrimination and distract or analysis. In order to customize student practice, the system is able to suggest the daily practice according to his/her test knowledge level and proposed goals. The algorithm is designed to be used by Mathtoons Media's mobile application Practi to help students improve their school performance.