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The multimedia computer is a relatively new product that is capable of presenting information through a variety of media such as text, animation, video & sound. Commercial developers, researchers and other multimedia advocates have been making claims about the potential for multimedia in promoting learning and, consequently, its beneficial uses as a learning tool within the classroom. This study investigates the conditions under which the organization and coordination of multimedia sources promotes the acquisition of knowledge. Based upon a review of the literature, five hypotheses are generated with respect to the development of instructional software as an effective learning tool. These hypotheses are then tested in a study that looks at the effects of various multimedia designs. One hundred students, half of high-ability (i.e., high-stream) and the other half of average ability (i.e., regular stream), were assigned to one of five multimedia conditions (e.g., text only (T); text with animation (TA); text with animations and captions (TAC); animations and captions (AC); refined animation and captions (RAC)). The instructional material presented information on how to find South using two sticks, some string and the Sun. The TAC and RAC groups outperformed the other three groups on scores of verbal recall, visual recall, and enactment of the main procedures. These two groups also obtained higher scores on detailed analyses of written recalls. Finally, interaction effects for stream level and computer presentation group were also obtained. The results from this study are contrasted to those of an earlier study by Breuleux et al. (1993). The implications of these results are discussed in terms of statistical support for theoretically based guidelines for the development and design of effective instructional multimedia.

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In this project, an enhanced version of Jedit is presented. Jedit is a Graph Editor developed at Ball State University by a group of students under the direction of Dr. Jay Bagga. The following paper describes the new version, named Jedit 4.0.In this version two new algorithms are implemented. These are: Planarity Testing and Planarity Drawing. The first algorithm tests a graph for planarity and the second one makes a planar embedding of the graph in a grid of size (n-2) x (n-2), where n is the order of the graph. Planar graphs have important applications in the fields of computer engineering, architecture, and many others.Jedit 4.0 also includes new features that were not available in earlier versions. The new features include: graph rotation operation, graph complement, drawing of well-known graphs, and credits window. Several modifications and additions to existing features and algorithms have also been carried out.Jedit 4.0 uses swing java technology what provides a more elegant look. Drop down menus have also been added to provide the user an easier way to use Jedit. / Department of Computer Science

This study has presented a Planning Support System (PSS) design which is an integrated collection of computer technologies, and models, organized in the form of a toolbox to enhance and improve the planning practice. Such a system combines and facilitates different technologies in one well-designed environment to solve planning problems. Theses problems could address both routine (managerial) and non-routine (forecasting, location-allocation) activities.My goal in this thesis is to conceptually design a PSS from a regional planning perspective. If a Planning Support System is designed for the most complex planning problems (which typically concern regional planning issues), it would be adaptable to the other, more managerial types of activities.The process of Planning Support System would be similar, but not identical to the flow of strategic planning. The PSS would consist of five phases and each phase would include different combination of databases and workflows supported by recent and appropriate computer technology packages. / Department of Urban Planning