This paper is from Session 9D: E-learning, E-teaching and E-assessment in fully online, blended and open virtual web-based courses

which comes under Topic 9: Technology in statistics education

A mobile web for enhancing statistics and mathematics education

Presenter

• Gunnar Stefansson (University of Iceland, Iceland)

Co-authors

• Anna Jonsdottir (University of Iceland, Iceland)
• David Stern (Maseno University, Kenya)
• Jamie Lentin (Shuttle Thread, Manchester, United Kingdom)
• Victoria Mokua (Maseno University, Kenya)

Abstract

A freely available educational application (a mobile website) will be presented. This provides access to educational material and drilling on selected topics within mathematics and statistics with an emphasis on tablets and mobile phones. The application adapts to the student’s performance, selecting from easy to difficult questions, or older material etc. These adaptations are based on statistical models and analyses of data from testing precursors of the system within several courses, from calculus and introductory statistics through multiple linear regression. The application can be used in both on-line and off-line modes. Results presented include analyses of how the internal algorithms relate to dropout rates, passing a course and general incremental improvement in knowledge during a semester.