SITT 2023: Using technology to facilitate learning abstract concepts by Paul Martin
From Mark Wilson
Engineering undergraduate students are trained in objective analysis based on prescribed values and closed-ended solutions. It is crucial for reliable predictive analysis to apply calculations and real-world applications. However, in some cases, an acceptable variance to the actual outcomes may depend on subjective considerations. In such instances, open-ended and subjective analysis is likely required. The challenge in teaching certain forms of analysis lies in the student's ability to visualize in a multi-dimensional state. Additionally, demonstrating and teaching subjective and open-ended solutions is difficult, as most models used for demonstration are typically 2D interaction with a 3D state.
We will discuss modality and student internalization methods using volumetric interactive tools, visualization of 3D state from 2D source, subjective vs objective ratio analysis, closed loop and opened loop problem solving.