This paper is from Session 9G: Educational software for helping students learn statistics

which comes under Topic 9: Technology in statistics education

An early look at rich learning analytics: statistics students playing “Markov”

Presenter

• Tim Erickson (Epistemological Engineering Oakland, United States)

Co-author

• Mariel Triggs (Lick-Wilmerding High School, United States)

Abstract

In this paper we look at student work in a Data Game called “Markov,” designed to give students experience with conditional probability. The online game records all student moves and strategy-making. We look at these “rich learning analytics” to see what patterns of student behavior we can see and what types of conclusions we might draw. We will see that these data are an intriguing window into student thinking and behavior, with implications for both instruction and research.