Stream Processors Texture Generation Model for 3D Virtual Worlds: Learning Tools in vAcademia

Abstract

In this paper, we address the challenges of applying three-dimensional virtual worlds for learning. Despite the numerous positive conclusions, this technology is far from becoming mainstream in education. The most common problems with applying it in everyday teaching and learning are steep learning curve and demand for computational and network resources. In order to address these problems, we developed a stream processors texture generation model for displaying educational content in 3D virtual worlds. The model suggests conducting image-processing tasks on stream processors in order to reduce the load on CPU. It allows designing convenient and sophisticated tools for collaborative work with graphics inside a 3D environment. Such tools simplify the use of a 3D virtual environment, and therefore, improve the negative learning curve effect. We present the methods of generating images based on the suggested model, the design and implementation of a set of tools for collaborative work with 2D graphical content in vAcademia virtual world. In addition, we provide the evaluation of the suggested model based on a series of tests which we applied to the whole system and specific algorithms. We also present the initial result of user evaluation.