This paper is from Session 8E: Theoretical frameworks in statistics education research

which comes under Topic 8: Research in statistics education

Other papers under session 8E ... 8E2: Reasoning about variation: rethinking theoretical frameworks to... 8E3: The transformation process from written curricula to students’...

(Thursday 15th, 11:00-12:30)

Quality in statistics education: applying expectancy value models to predict student outcomes in statistics education

Presenter

• Nel Verhoeven (Roosevelt Academy, The Netherlands)

Abstract

Many freshmen at University sign up for Statistics during their first year. In order to meet the requirements of the institution they attend, students of a broad spectrum of specialties must take this mandatory course. They often find the course difficult and it scares them to work with statistical software or formulas. As a result, teaching statistics requires a special didactical approach. So, teachers benefit from knowledge on how student outcomes can be modeled. The model presented here forms the starting point for a project that took place in the Netherlands and Flanders from 2005 until 2007. The application of the Expectancy Value Model discussed here predicts student achievement as a function of expectancies, motivation to be successful, previous experience, and social and cultural environment. For the aforementioned study the model was applied choosing a special position for Effort and Expectancies.

Other papers under session 8E ... 8E2: Reasoning about variation: rethinking theoretical frameworks to... 8E3: The transformation process from written curricula to students’...