TAVR: Temporal-aural-visual Representation for Representing Imperceptible Spatial Information

摘要

Designing a technology tool to support learners better conceptualize the imperceptible scale has been a challenging research topic for learning technology researchers. Because of the limits in human visual sense and cognitive capacity, visual representations have not been successful in representing such scales. To address this issue, I designed a computer-based simulation that incorporates a multimodal (temporal-aural-visual) representation (TAVR). In my dissertation I assess the successfulness of TAVR and potential design options.