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Tactile Response Experimental Analysis Toolkit (TREAT)
The volume of research (e.g Pintrich, 2000) shows that motivation influences the scope and quality of study behavior of students. To motivate students in an introductory Statistics course, using real data in context is critical in teaching and learning statistics. Students often feel disengaged with data that they do not perceive as being “real” or “authentic”, and it is important that they believe that the data they are analyzing is representative of real-world problems. We developed a mobile application that allows students to easily develop simple experiments in which the class can participate in order to accumulate data for statistical analysis. The application allows for a variety of tactile user inputs (tapping, swiping, pressing, etc.) and provides a robust analysis of user input. In this session, we will introduce TREAT with a real-time demonstration and present it with different scenarios.
Date and Time
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Additional Authors and Speakers (not including you)
Brian Harrington
University of Toronto Scarborough
Jikai Long
University of Toronto Scarborough
Jun Zheng
University of Toronto Scarborough
Language of Oral Presentation
English
Language of Visual Aids
English

Speaker

Edit Name Primary Affiliation
Sohee Kang University of Toronto Scarborough