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Direct linkShacham, Mordechai; Brauner, Neima; Ashurst, W. Robert; Cutlip, Michael B. – Chemical Engineering Education, 2008
Mathematical software packages such as Polymath, MATLAB, and Mathcad are currently widely used for engineering problem solving. Applications of several of these packages to typical chemical engineering problems have been demonstrated by Cutlip, et al. The main characteristic of these packages is that they provide a "problem-solving environment…
Descriptors: Mathematical Models, Computer Software, Problem Solving, Chemical Engineering
Wachsmuth, Ipke; Lorenz, Jens-Holger – Focus on Learning Problems in Mathematics, 1987
Analysis of errors children make is modeled both with and without computers. Patterns of thinking are traced for a fifth grader, with the discussion focused on getting clues for remedial instruction by analyzing the dialog. (MNS)
Descriptors: Case Studies, Cognitive Processes, Computer Simulation, Diagnostic Teaching
Download full textAdvanced Technology, Inc., Reston, VA. – 1984
The development of the error prone model (EPM) for the 1984-1985 student financial aid validation criteria for Pell Grant recipient selection is discussed, based on a comparison of the 1983-1984 EPM criteria and a newly estimated EPM. Procedures/assumptions on which the new EPM was based include: a sample of 1982-1983 Pell Grant recipients…
Descriptors: Comparative Analysis, Dependents, Error Patterns, Evaluation Criteria
Advanced Technology, Inc., Reston, VA. – 1982
The development of a number of error-prone models to select Pell Grant recipients for validation is discussed. The 1983-1984 Pell Grant validation strategy consists of a two-stage approach: selection using Pre-Established Criteria (PEC) followed by selection using Error Prone Modeling (EPM). The database used for model development consists of a…
Descriptors: Comparative Analysis, Cost Effectiveness, Dependents, Error Patterns
