The results of an experiment in the use of statistical techniques for extracting a technical vocabulary from document texts are presented and discussed.

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We are designing a number of programming projects which utilize input/output devices, such as joysticks or a homebrewed board we call a MIPPET (Module for Input/Output Programming Projects Enhancing Teaching). These projects have been used or will be used in the closed labs of our CSl course (taught in C++). The goal of these projects is to enhance student comprehension (by teaching objects with "real" objects) and student motivation (by providing "fun' projects). This paper focuses on an early project, where the student's program provides support for a human solving a maze.

The approach to program visualization in computer science instruction discussed here has two components: the graphic display of algorithms and the graphic display of their execution. Both types of display are based on the same hierarchical representation of an algorithm (in terms of Scandura FLOWforms, an enhancement and generalization of Nassi-Shneiderman diagrams). The execution display is obtained by the addition of explicit display commands to the basic algorithm, but the execution display details can be largely suppressed when the algorithm itself is being displayed. Two major characteristics of this approach are the modularity and the easy modifiability of demonstration procedures. The hardware required is an IBM PC or AT or compatible.

We are designing a number of programming projects which utilize input/output devices, such as joysticks or a homebrewed board we call a MIPPET (Module for Input/Output Programming Projects Enhancing Teaching). These projects have been used or will be used in the closed labs of our CSl course (taught in C++). The goal of these projects is to enhance student comprehension (by teaching objects with "real" objects) and student motivation (by providing "fun' projects). This paper focuses on an early project, where the student's program provides support for a human solving a maze.