Effects of problem order on accuracy, preference, and choice of multiplication assignments.

2007 ◽  
Vol 8 (3) ◽  
pp. 347-359
Author(s):  
Kathryn E. Jaspers ◽  
Christopher H. Skinner ◽  
Robert L. Williams ◽  
Lee B. Saecker
Keyword(s):  
Problem Order

scholarly journals Philosophy as Creator of Student Intellectual

2019 ◽  
Vol 1 (2) ◽  
pp. 224-230
Author(s):  
Nurfaris Elisa ◽  
Ismed Batubara
Keyword(s):  
Immanuel Kant ◽  
Middle Ages ◽  
Thomas Aquinas ◽  
Classic Period ◽  
Learning Methods ◽  
Content Learning ◽  
Problem Order ◽  
Curriculum Vitae

In this modern phase, it was thicked that in lerning the philosophy, there are two methods, namely: First, by history lerning, it has been developing since formerly period until nowadays. In this faced curriculum vitae of famed philosophers, with coming current or philosophy understanding in every problem, their ideas about logic, metaphysics, ethics and religion that talked chronologically according to each time. Second, with content learning methods, namely field learning that regulated in certain sector, such as ethica was confinnated according to ideas from classic period of Greek (Plato, Aristotle) ​​with ideas of philosophers in middle ages (Thomas Aquinas, Al Farabi) with ideas of philosophers in aufklarung period (Immanuel Kant) with ideas of philosophers in nowadays (Jasfer, Marsel) with out problem order each divisions. Presentation of this subject can lead to more progress than others, until they are clever in learning it. Eventually they become intellectual-smart

The cafeteria problem: order sequencing and picker routing in on-the-line picking systems

OR Spectrum ◽  
2019 ◽  
Vol 41 (3) ◽  
pp. 727-756 ◽  
Author(s):  
David Füßler ◽  
Stefan Fedtke ◽  
Nils Boysen
Keyword(s):  
Problem Order ◽  
Picking Systems ◽  
Order Sequencing

Design of an Order Picking Reduce Module Using Bat Algorithm

2019 ◽  
pp. 211-225
Author(s):  
Rogelio Florencia ◽  
Julia Patricia Sanchez-Solis ◽  
Ivan Carvajal ◽  
Vicente García
Keyword(s):  
Human Factor ◽  
Optimization Algorithms ◽  
Bat Algorithm ◽  
Order Picking ◽  
Discrete Problem ◽  
Metaheuristic Methods ◽  
Continuous Problems ◽  
Problem Order ◽  
Different Parts

These days the human factor is key to improving order picking processes. For example, in a line of processes to replace different parts of equipment or devices, it is necessary to find the best route in each case to minimize the time consumed. One of the tools used to search for solutions are the metaheuristic methods that use probability to find the best solution in the required time. One of them is the “bat algorithm” that has had outstanding results since its appearance in 2010. This metaheuristic is based on how bats hunt, supported by their system of echolocation. It is one of the most recent metaheuristics and has proven to be more effective than other similar optimization algorithms in different processes. However, the algorithm was initially designed for addressing continuous problems. In this chapter, the authors present an adaptation of bat algorithms to solve a discrete problem: order picking.

Problem Order Implications for Learning

2013 ◽  
Vol 23 (1-4) ◽  
pp. 71-93 ◽  
Author(s):  
Nan Li ◽  
William W. Cohen ◽  
Kenneth R. Koedinger
Keyword(s):  
Problem Order
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