This is a session of Topic 9: Technology and multimedia in statistics education
Session 9I (Wednesday 11th, 11:00-12:30, Level 2 - AV Study Room)
Gathering and modeling data
Organizer
- Santiago Inzunza (Mexico) : Session chair
Abstract
Having students gather their own data, and develop models for interpreting the patterns they see, is a valuable approach for deepening engagement and improving statistical understanding. This is particularly relevant in a time where personal data is easily available from many sources, including activity trackers such as Fitbits, providing contexts with which students can easily identify. Virtual environments can also be used to engage students in study design and data collection, again providing ownership of the data and its context. Software such as TinkerPlots gives students direct control over the simulation process, combined with statistical tools so that they can appreciate modelling from beginning to end. In this session the presenters will share their experiences with these different approaches to gathering and modelling data, and provide insights into the implications for teaching and learning statistics.
Papers
Paper | Title | Presenter / Co-author(s) |
9I1 | Using Personal Activity Data in an Undergraduate Statistics Course | Kady Schneiter (United States) Lacy Christensen (United States) Victor R. Lee (United States) |
9I2 | Students' statistical modeling activities using TinkerPlots | Jennifer Noll (United States) Dana Kirin (United States) Jason Mark Dolor (United States) Kit Clement (United States) Matthew Petersen () |
9I3 | Virtual Environments for Teaching Qualitative Research Methods | Michael Bulmer (Australia) Katelyn Doyle (Australia) |