Algorithmic Variations and Measurements of the Webma: Online Algebra System‪.‬

Abstract This article reports results of the implementation of the online algebra system, WebMA [see WebMA], into an undergraduate course that prepared pre-service teachers for their high school mathematics teaching. WebMA is a web-based system with a complete mathematical engine and algorithmic random generators that can be used to access student learning outcomes. Instructors can utilize it to diagnose students' prior knowledge and to evaluate student work during the course with various different types of assessment as well as provide immediate feedback throughout the course period. These features present numerous extraordinary benefits for instructors who are interested in using online systems to assess learning outcomes and increase student engagement. The experience that we learned based on student feedback will be conveyed.