My research focuses on a) data-intensive approaches to understanding students’ motivation and engagement in science, b) the design of learning environments that support data modeling, and c) teachers’ development of innovative practices.

Data-intensive approaches to understanding students’ motivation and engagement in science

  • Using the Experience Sampling Method and a person-oriented approach to understand engagement in science

  • Using log trace data to understand student engagement in a flipped undergraduate class

  • Student motivation in online science classes

  • Computational approaches to assessing engagement in scientific and engineering practices

Design of learning environments that support data modeling

  • Creating and analyzing data from simulations

Teachers’ development of innovative practices

  • Using a network influence model of teachers’ interactions on Twitter

  • Teachers’ synchronous and asynchronous uses of the same Twitter hashtag

  • Teachers’ development of scientific modeling pedagogical practice over a long period of time