A Determinant of Optimal and Inhibited Mobile Language Learning Activity Quiz Level Length

Abstract

Learner analytic exploratory research, concerned with mobile app learner survivability, was conducted. An app was developed to indicate productivity of quiz app usage for global mobile assisted language learning (MALL). The research focused on inhibiting and optimising effects of level length on total questions answered. Specifically, it aimed to answer the question: how many questions per level leads to the highest total unique questions being answered? The research was conducted within nine-day cohort timeframes and included three phases: a small-scale pilot study to establish parameters, an exploratory stage undertaken within the parameters and finally the use of a quadratic regression predictive model. The data was collected using Google Analytics and Google Firebase. The null hypothesis (H0) was rejected. A one-way analysis of variance found a statistically significant difference in the mean productivity of the lengths. Results of a Tukey post hoc test (p