The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…

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…

Discusses the various problems encountered when scheduling examination timetables and a means for overcoming them using a computer-based examination management system to provide the registrar with an analysis and feedback to eliminate conflicts. The system uses color-coding to produce blocks of nonconflicting examinations. (EAO)

Compares traditional mathematical models with computer simulations. Shows the strengths and flexibility of algorithmic computational simulations through a program designed to investigate and extend understanding in one of the most enduring questions in social choice research. Discusses solutions to this problem from each approach--analytic and…

Presents methodological considerations in developing an automatic cheap algorithm for computerized path diagraming, gives some plotted results, and describes a program which produces the plots from an input matrix of path coefficients on a standard line printer. The program accommodates unidirectional and reciprocal causation and represents…

Describes NEGOTIATE, an interactive computer model that synthesizes bargaining theories into algorithmic functions capable of simulating complex labor relations. The models employed in the simulation, the instructional dimension of NEGOTIATE, and various applications of the game are discussed. A seven-item reference list is included. (Author/JL)

Proposes a problem-oriented, man-machine modelling process which combines algorithms and software to assist decision makers and planners in dealing with complex socio-economic issues. Includes the specific parts in each of the system's three basic elements: a library, special units, and system control units. (Author/DC)

This bibliography lists 86 references, most of which are annotated, to papers and journal articles on computer assisted learning (CAL) in the Soviet Union. Topics dealt with include problem solving models, decision strategies, programmed instruction, algorithms, simulation, educational games, databases, and testing. The references have been…

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…