When designing cluster-randomized trials (CRTs), one important consideration is determining the proper sample sizes across levels and treatment conditions to cost-efficiently achieve adequate statistical power. This consideration is usually addressed in an optimal design framework by leveraging the cost structures of sampling and optimizing the…

Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…

Systematic classroom observation is often used in evaluating and enhancing the quality of classroom instruction. However, classroom observation can potentially suffer from human bias. In addition, the traditional classroom observation is too expensive for resource-constrained environments (e.g., Sub-Saharan Africa, South and Central Asia). A…

This article seeks to explore different combinations of human and Artificial Intelligence (AI) decision-making in the context of distributed learning. Distributed learning institutions face specific challenges such as high levels of student attrition and ensuring quality, cost-effective student support at scale using a range of technologies, such…

The Chameleon Educational Policy Reforms' (CEPR) 25th anniversary was celebrated at the Global General Assembly with the 2075 Decennial Analysis of Schooling (DecAS) announcement of the attainment of a benefit-cost ratio of >1.0. The attainment of a global positive net value of education is directly linked to the educational reforms established…

Reviews the use of signatures to improve the performance of text searching and considers the use of signature trees to further accelerate text searching. Based on the analysis of experimental results, it is concluded that the improvement in text searching performance using signature trees outweighs the increase in required storage. (12 references)…

Introduces two distribution schemes that partition documents over multiple processors and the corresponding multiprocessor retrieval algorithms that match relevant documents to user queries. The suggested framework is based on a general purpose hypercube multicomputer architecture with a dedicated disk for each node. A timing analysis for the…

The benefits of utilizing text compression for CAI are evaluated, and an analysis of core storage, decoding, and CPU time are presented for the PDP-10 system. (RAO)

Considers problem of optimal scheduling of Boolean expression (each Boolean variable represents binary outcome of program module) on single-processor system. Optimization discussed consists of finding operand arrangement that minimizes average execution costs representing consumption of resources (elapsed time, main memory, number of…

Presents an algorithm for integrating evaluative concerns of cost effectiveness, equity, quality, and sustainability in program evaluation and offers suggestions for refining the system of measurement and analysis. (SLD)

Discusses difficulties of producing computer assisted learning (CAL) software economically. Proposed as a solution, modular programing is illustrated by describing production of a matrix algebra package. Use of special CAL modules and facilities provided by subroutine libraries are cited, and development of a package to teach matrix theory is…

The article is concerned with developing the Whitehead and Eldars algorithm for problems on more than one floor and an algorithm for the definition of circulation routes in computer-developed building plan arrangements. (Author)

Discusses the role of algorithmic processes as a supplementary method for producing cost-effective and efficient instructional materials. Examines three approaches to problem solving in the context of developing training materials for the Naval Training Command: application of algorithms, quasi-algorithms, and heuristics. (EAO)

Investigates the value of applying principles derived from simulated annealing to clustering tuples in database design, and compares this technique with a graph-collapsing clustering method. It is concluded that, while the new method does give superior results, the expense involved in algorithm run time is prohibitive. (24 references) (CLB)

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)