Since near the very beginning of electronic computing, Monte Carlo particle transport has been a fundamental approach for solving computational physics problems. Due to the high computational demands and inherently parallel nature of these applications, Monte Carlo transport applications are often performed in the supercomputing environment. That…

In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…

Presents a simple matrix that is used for budgeting the machine time, people, and equipment necessary to maintain and enhance administrative systems as well as to develop new systems in an organized fashion. (Author)

Nearly 150 papers presented at this conference, sponsored by the International Federation for Information Processing, are included in this volume which surveys the state of the art of computer education. Nine papers provide an overview on such topics as computer science and mathematics, computer education in the 1970's, computers and the…

The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…

Identifies design variables directly related to the development of computer-based instruction (CBI) and shows how those variables can be applied in the actual development of a course. The design is for a computer literacy course concerned with both content and student attitudes about that content. (Author)

Provides a brief description of the University of Iowa (including the computing setting) and lessons learned while implementing an information technology plan. Such implementation considerations as sponsorship of effort, community involvement, and strategic choices are discussed. Refinements of the initial strategy are also considered. (JN)

In order to devise an aid for the teaching of formal languages and automata theory, a system was developed which allows a student to design, test, and change automata in an interactive manner. This process permits the user to observe the step-by-step operation of a defined automaton and to correct or alter its operation. Thus, the need for lengthy…

This article describes a model for implementing a microcomputer education program and identifies its common benefits. It identifies and defines key program elements: enlistment of community support, needs assessment, identification of goals and objectives, selection of appropriate materials, preparation for implementation, implementation,…

Intelligent relationships with people are among the goals for tomorrow's computers. Knowledge-based systems used and being developed to achieve these goals are discussed. Automatic learning, producing inferences, parallelism, program languages, friendly machines, computer vision, and biomodels are among the topics considered. (JN)

A broad range of well-structured problems--embracing forms of diagnosis, catalog selection, and skeletal planning--are solved in expert computer systems by the method of heuristic classification. These programs have a characteristic inference structure that systematically relates data to a pre-enumerated set of solutions by abstraction, heuristic…

The use of computers to build diagnostic inferences is presented in two contexts: (1) closed world, exemplified by the space shuttle launch monitoring system; and (2) open world, represented by computerized diagnostic testing of reading comprehension. The analysis shows that the closed world provides a substantially cleaner environment within…

To minimize training time, an adaptive training model for optimizing path sequencing in computer aided instruction was developed. The model reduced a course to logical components or quanta, then plotted the material for possible sequences and evaluated each component quanta as to importance to subject assimilation. For implementation and testing,…

The problem of structuring sequences of instructional stimuli such that learning is optimized is modelled as a sequential decision problem with an imbedded mathematical model of learning providing a criterion function. Three types of optimization methods for such a representation are investigated for the specific case of paired-associate learning…