This paper is from Session 9H: Teaching Statistics Online
which comes under Topic 9: Technology and multimedia in statistics education
Paper 9H1 (Monday 9th, 11:00-12:30)
Design and Evaluation of a Hypothetical Learning Trajectory to Confidence Intervals based on Simulation and Real Data
Presenter
- Santiago Inzunza (University Autonomous of Sinaloa, Mexico)
Abstract
This article discusses the design an evaluation of a learning trajectory to introduce confidence intervals in an introductory university course from an informal perspective based on sampling simulation and real data. The trajectory was evaluated as part of a first improvement cycle with a group of 11 students (19-21 years) of International Studies in a Mexican university. The results show that it is possible to reason adequately with complex concepts that underlie confidence intervals, using data with real contexts and dynamic and interactive computer tools that allow real time visualization of the sampling. The survey context seems appropriate to introduce social science students to the study of confidence intervals, since they involve concepts that can be discussed in context with meaning for students.