To this end, the app provides both a "Problem Solver," wherein students can check answers to practice problems they were given, and a "Problem Generator," which randomly generates both practice problems and their solutions.
At Duke University, instructors of the introductory genetics course use the Problem Generator feature to create exercises implemented in assessments a professor can generate a list of any number of random numeric recombination fraction problems and solutions (we often use 100) and then select among them for which to deliver to students in proctored tests.
The Problem Generator also allows teachers to easily create printable quizzes with multiple-choice tests.
The extensions in the paper are the "problem generator (RPS generator)" and the "practice proposing unit (PPU)" in Fig. 2.
Today, the Wolfram Alpha team is launching a new service for learners, the Wolfram Problem Generator, that turns the "computational knowledge engine" on its head.
Based on the problem generator, computational results and analysis are made and illustrated for the scheduling of multiple ground stations.
The Problem Generator – which is available to all Wolfram Alpha Pro subscribers now – creates random practice questions for students, and Wolfram Alpha then helps them find the answers step-by-step.
In this way, a new benchmark problem generator is proposed here based on the analysis performed, allowing to produce DOPs with six types of fitness landscape transformations, including those similar to the problems investigated in this paper.
At the most basic level, the Problem Solver and Problem Generator features will work with tests for fit of population genotype numbers to expectations under Hardy-Weinberg assumptions.
Table 1 Operation description and related parameter in GA cycle Operation Description Related Parameters Parameter description Population GA starts with choice of some individuals (potential answers for the problem) generated using a random generator.
