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Guiding Empowerment Model: Liberating Neurodiversity in Online Higher Education
In this innovative practice full paper, we address the equity gap for neurodivergent and situationally limited learners by identifying the spectrum of dynamic factors that impact learning and function.
Deep Learning in a Computational Model for Conceptual Shifts in a Co-Creative Design System
This paper presents a computational model for conceptual shifts, based on a novelty metric applied to a vector representation generated through deep learning.
Evaluating Creativity in Computational Co-Creative Systems
This paper provides a framework for evaluating creativity in co-creative systems: those that involve computer programs collaborating with human users on creative tasks.
Deep Learning for Identifying Potential Conceptual Shifts for Co-creative Drawing
We present a system for identifying conceptual shifts between visual categories, which will form the basis for a co-creative drawing system to help users draw more creative sketches.
