Evaluation of EzyStats 3Q Model App for Statistical Analysis Learning in Higher Education

Statistics may be viewed as an intimidating subject for students in universities and a stumbling block for researchers to complete their research projects. Nevertheless, researchers at Harvard University view statisticians as one of the most promising jobs for the next ten years. Henceforth, statistics should be seen as a chance for a better future. According to Calson, Keith and Winquist (2011), “what students do and how they think about what they did determine whether a given active learning approach will be successful” (p. 3). Therefore, a product referred to as the EzyStat3Q Model which is a hands-on guide developed by the writers of this paper to lead university students and researchers to learn the tricks of statistics quickly through a multi modal approach is evaluated. EzyStat3Q Model is a quick and interactive learning model which comprises MOOCs, Mobile App, Interactive Multimedia PowerPoint, e-Book, and Quick Learning Print Module. This creative statistical learning model is expected to lead university students and researchers to learn the tricks of statistics quickly. This model utilizes the concept of multimodality and built-in quick references to trigger active learning through a constructivist approach among students and lecturers in the learning and teaching of statistics. In order to obtain feedback from users, a descriptive research was conducted with two intact groups of 45 masters students at the Faculty of Education of a public university in Malaysia. The data collected via questionnaires were analysed descriptively to identify mean and standard deviation for each item. Besides that, qualitative data from the interviews with five students were used to support the quantitative data collected from questionnaires. The findings indicated the EzyStats3Q Model App has acquired certain levels of quality in terms of ease of use, user interface, audience appeal, effectiveness, presentation, program content, and documentation. The paper has identified some important implications and recommendations for the improvement of this product at a higher level.