LITI: Learning with Interactive Time Series Information
Myles Lewis, Amanda K. Holloman, Feiya Luo, André R. Denham, Chris S. Crawford · 2023
Educational sensor-based visual programming environments (VPEs) tend to focus on directly connecting input and output sources. However, limited educational tools are designed to expose novice programmers to basic preprocessing techniques often needed to convert raw sensor data into interpretable commands. This paper presents our preliminary design process for LITI, a VPE designed to expose students to basic processing techniques used for time-series data analysis. We leveraged an iterative design process that began with focus group sessions involving local high school teachers and students. Based on educators' and students' feedback, LITI was designed to reinforce graphing and data processing concepts used in physiological computing. Afterward, we conducted usability studies with high school students in grades 10 - 12. Results from our initial user studies suggest that LITI may increase students' physiological computing self-efficacy.