| John Zelle | My current interests are mainly in the languages and environments used in computer science education. I am an advocate of extensive programming as a foundation of the CS curriculum. I am convinced that students learn better starting with very high-level, dynamically-typed, interactive language environments. At Wartburg, we use Python in our introductory (CS 1) course. If you're interested, check out my Teaching with Python page.
Recently, I have been working with undergraduates on research in the area of virtual reality. Working with Dr. Charles Figura in Physics, we are developing a VR lab (called SVEN) "on a shoe-string." We currently have projects in stereoscopic projection, position tracking, and remote viewing robotics. You can find out more on the SVEN page.
In a former life, I was an AI researcher. My work focused on combining explanation-based learning (EBL) and inductive logic programming (ILP) to learn search-control heuristics for knowledge-based systems expressed as definite-clause logic programs. Two specific applications of this framework are: dynamic optimization of Prolog programs (improving efficiency) and natural language acquisition (improving accuracy). For an in-depth look, see my machine learning publications. |
