Vetria L. Byrd, PhD
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Project
Gesture-Manipulated 3D Network Maps for Tracking, Assessment, and Reflection Opportunities in Digital Non-Linear Adaptive Learning Systems
Funding Source
GRC Visionary Grant
Description
The dissemination of digital non-linear adaptive learning systems is becoming prevalent in education offering content delivery that is personalized, multi-layered, and integrated. These systems measure a student's performance and tailor lesson content and assessment types to meet his/her educational needs. While inherent in non-linear delivery is discovery-based learning and pursuit of multi-directional pathway, these systems often do not provide the student with an ability to visualize and reflect on content learned, add new concept connections, and which lesson components remain untouched under specific learning objectives. Furthermore, they often contain pre-determined static connections between nodes, limit the user's ability to dynamically add new meaningful visual inputs in real-time, and are 2D, limiting depth-perception. The aims of this project are: (1) to lay the groundwork and begin the process of building an interactive gesture-controlled dynamic network map that scales and layers in 3D space, and (2) to visualize connections of content covered in a lesson while also providing an opportunity for visual reflection and new inputs.
Collaborators: Kim Moss, MFA (Department of Art & Visual Culture, Iowa State University)