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Gabriella Colajanni; Alessandro Gobbi; Marinella Picchi; Alice Raffaele; Eugenia Taranto – INFORMS Transactions on Education, 2024
In this paper, we continue describing the project and the experimentation of "Ricerca Operativa Applicazioni Reali" (ROAR; in English, Real Applications of Operations Research), a three-year project for higher secondary schools, introduced. ROAR is composed of three teaching units, addressed to Grades 10, 11, and 12, respectively, having…
Descriptors: Foreign Countries, Grade 11, Operations Research, High School Students
Lonneke Boels; Enrique Garcia Moreno-Esteva; Arthur Bakker; Paul Drijvers – International Journal of Artificial Intelligence in Education, 2024
As a first step toward automatic feedback based on students' strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students' gazes. A previous study showed how students' task-specific strategies can be inferred from their gazes. The research question addressed in the present article is how data…
Descriptors: Eye Movements, Learning Strategies, Problem Solving, Automation
Peabody, Michael R. – Measurement: Interdisciplinary Research and Perspectives, 2023
Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical…
Descriptors: Programming Languages, Algorithms, Heuristics, Mathematical Models
Gabriella Colajanni; Alessandro Gobbi; Marinella Picchi; Alice Raffaele; Eugenia Taranto – INFORMS Transactions on Education, 2023
We introduce "Ricerca Operativa Applicazioni Reali" (ROAR; in English, "Real Applications of Operations Research"), a three-year project for higher secondary schools. Its main aim is to improve students' interest, motivation, and skills related to Science, Technology, Engineering, and Mathematics disciplines by integrating…
Descriptors: Operations Research, High School Students, Grade 10, Foreign Countries
Didactic Strategies for the Understanding of the Kalman Filter in Industrial Instrumentation Systems
Flórez C., Oscar D.; Camargo L., Julián R.; Hurtado, Orlando García – Journal of Language and Linguistic Studies, 2022
This paper presents an application of the Kalman filter in signal processing in instrumentation systems when the conditions of the environment generate a large amount of interference for the acquisition of signals from measurement systems. The unwanted interferences make important use of the instrumentation system resources and do not represent…
Descriptors: Measurement, Accuracy, Simulation, Computer Software

Hoc, Hoang Hai – Management Science, 1973
Provides a solution method for the problem of finding an optimal traffic network in its simplest form where there are no congestion costs. (Author)
Descriptors: Algorithms, Computational Linguistics, Computer Programs, Mathematical Logic

Buckley, Fred – College Mathematics Journal, 1987
Mathematical models that are used to solve facility location problems are presented. All involve minimizing some distance function. (MNS)
Descriptors: Algorithms, College Mathematics, Functions (Mathematics), Higher Education

Cronk, Jeff; And Others – College Mathematics Journal, 1987
Algorithms to determine the optimal locations of emergency service centers in a given city are presented, with theorems and proofs. (MNS)
Descriptors: Algorithms, College Mathematics, Higher Education, Mathematical Models

Staib, John – Mathematics Teacher, 1982
An approach to using the method of least squares, a scheme for computing the best-fitting line directly from a set of points, is detailed. The material first looks at fitting a numerical value to a set of numbers. This provides tools for solving the line-fitting problem. (MP)
Descriptors: Algebra, Algorithms, Mathematical Applications, Mathematical Models
Board, Raymond Acton – 1990
This thesis addresses problems from two areas of theoretical computer science. The first area is that of computational learning theory, which is the study of the phenomenon of concept learning using formal mathematical models. The goal of computational learning theory is to investigate learning in a rigorous manner through the use of techniques…
Descriptors: Algorithms, Computer Science, Computer Science Education, Higher Education

Kail, Robert; And Others – Intelligence, 1984
Sex differences in speed of solving mental rotation problems were replicated but college men and women were alike in frequency of use of algorithms to solve problems. The most frequent algorithm involved encoding stimuli in working memory, mental rotation of one to orientation of the other, comparison, and response. (Author/RD)
Descriptors: Algorithms, Cognitive Processes, Higher Education, Mathematical Models

Wilcox, Rand R. – Journal of Experimental Education, 1983
A latent class model for handling the items in Birenbaum and Tatsuoka's study is described. A method to derive the optimal scoring rule when multiple choice test items are used is illustrated. Remedial training begins after a determination is made as to which of several erroneous algorithms is being used. (Author/DWH)
Descriptors: Achievement Tests, Algorithms, Diagnostic Tests, Latent Trait Theory

Yeshurun, Shraga – International Journal of Mathematical Education in Science and Technology, 1980
The cognitive method, an algorithmic method for transforming verbal word problems into equations, equation systems, inequalities, etc., is presented and discussed. The psychological and mathematical aspects of the cognitive method are also reviewed. (MP)
Descriptors: Algorithms, Cognitive Processes, Educational Psychology, Learning Theories

Armstrong, Ronald D.; Jones, Douglas H. – Applied Psychological Measurement, 1992
Polynomial algorithms are presented that are used to solve selected problems in test theory, and computational results from sample problems with several hundred decision variables are provided that demonstrate the benefits of these algorithms. The algorithms are based on optimization theory in networks (graphs). (SLD)
Descriptors: Algorithms, Decision Making, Equations (Mathematics), Mathematical Models

Swanson, Len; Stocking, Martha L. – Applied Psychological Measurement, 1993
A model for solving very large item selection problems is presented. The model builds on binary programming applied to test construction. A heuristic for selecting items that satisfy the constraints in the model is also presented, and various problems are solved using the model and heuristic. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Heuristics, Item Response Theory
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