Described is a Monte-Carlo method for modeling physical systems with a computer. Also discussed are ways to incorporate Monte-Carlo simulation techniques for introductory science and mathematics teaching and also for enriching computer and simulation courses. (RH)

For colleges/universities, rapid instrument development poses a dilemma, since laboratory teaching instruments rapidly become obsolete and money available for replacing them is dwindling. Discusses role of sophisticated computer simulations, nontraditional educational materials, and part-time work-study opportunities as possible solutions to the…

Computer-based simulations of scientific phenomena provide learner-centered environments within which students can explore systems, manipulate variables, and test hypotheses. Explains how simulations fit into the big picture of instruction and offers recommendations for developing a written guide for students, determining student accountability,…

Includes a list of favorably reviewed science and mathematics microcomputer software for instructional use in preschool through grade 12. Developed as an aid to educators in locating programs they may want to preview. (MVL)

Discusses producing effective instructional software using a balance of course content and technological capabilities. Describes six phases of an instructional development model: discovery, design, development, coding, documentation, and delivery. Notes that good instructional design should have learner/computer interaction, sequencing of…