The major challenge of most basic schools is inadequate educational resources despite a conscious effort to constantly provide. This is a result of inaccurate data management leading to inappropriate predictions for effective planning. The actual efficiency of a system is determined by its ability to predict real-life data with speed and accuracy.…

At present, the traditional education quality evaluation system has some problems, such as insufficient data processing ability and poor real-time performance, which is difficult to meet the needs of teaching quality improvement in rapidly developing higher vocational colleges. In order to solve such problems, this paper designs an intelligent…

Presents a model for resource allocation of state-prevention funds based on the relative need for prevention services measured in terms of composite risk-factor index scores computed for each county. Suggests that funding be based on the resource-allocation algorithms rather than the suggested amount of funding computed for each county.…

Discusses the development of an algorithm for an equitable distribution of state prevention funds to its substate jurisdiction based on the need for prevention services. Suggests that the final decision on the level of funding must be based on the selection of the schedule for resource allocation rather than the suggested amount or level of…

The first of three articles that develop a framework for county-based prevention-resource-allocation algorithms based on the aggravated need for substance-abuse-prevention services estimated at the county level. Algorithm development is based on (1) statewide student drug survey, and (2) a set of social indicators routinely published by agencies…

Examines notion of algorithms and describes variety of roles they take in educational endeavors. Problems in their development and application are explored, and implications for future use and research are presented. References are included. (BK)

Describes the development and use of a policy model and algorithm for allocating continuing education (CE) resources in a large national health system. The algorithm uses a two-factor model, basing facility CE allocations on the amount of CE need and price differences in accessing CE sources. (Author/JOW)