Roulette Wheel Selection Algorithm and Reinforcement Learning

Name: Roulette Wheel Selection Algorithm and Reinforcement Learning
Brand: LAP Lambert Academic Publishing
SKU: 9783659829567
Price: 827 CZK
Availability: InStock

Autor: Melvin Ballera

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

827 Kč

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

Informace o knize

Autor

Melvin Ballera

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2016

Stránek

184

EAN

9783659829567

Enbook ID

02947454

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

262

Rozměry

150 x 220 x 11

Kompletní popis

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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