Roulette Wheel Selection Algorithm and Reinforcement Learning

Name: Roulette Wheel Selection Algorithm and Reinforcement Learning
Brand: LAP Lambert Academic Publishing
SKU: 9783659829567
Price: 38.47 EUR
Availability: InStock

Автор: Melvin Ballera

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Външен склад

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38.47 € 75.25 лв

Various mechanisms to improve the learning process with the main objective of maximizing learning an...

Информация за книгата

Автор

Melvin Ballera

Език

Английски език

Корици

Книга - С меки корици

Издадена

2016

страници

184

EAN

9783659829567

Enbook ID

02947454

Издател

LAP Lambert Academic Publishing

Теглоt

262

Размери

150 x 220 x 11

Пълно описание

Various mechanisms to improve the learning process with the main objective of maximizing learning and dynamically selecting the best teaching operation to achieve learning goals have been done in the field of personalized learning. Despite recommending a personalized learning sequence, e-learning instructional strategists have failed to perform or address the necessary corrective measures to remediate immediately learning misconceptions or difficulties. As e-learning materials continue to evolve, it is necessary that an alternative, dynamic, and real time multi-performance be developed and implemented in e-learning systems. Two major contributions in the field of e-learning have been asserted by this study: it personalizes the learning sequence using reversed roulette wheel selection algorithm blended with linear ranking based on real time, dynamic multi-based performance matrix; and implements the reinforcement and mastery learning to motivate students and improve their learning output. Based on experiments, personalized learning sequence (PLS) were dynamic and heuristic but simultaneously considers the curriculum difficulty level.

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Roulette Wheel Selection Algorithm and Reinforcement Learning

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