Roulette Wheel Selection Algorithm and Reinforcement Learning - Couverture souple

Ballera, Melvin

9783659829567: Roulette Wheel Selection Algorithm and Reinforcement Learning

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ISBN 10 : 3659829560 ISBN 13 : 9783659829567

Editeur : LAP LAMBERT Academic Publishing, 2016

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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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Biographie de l'auteur

Dr. Melvin A. Ballera is a graduate of PhD in Computer Science at Strathmore University - Kenya and Master of Science in Philippines. He holds positions including research director, academic coordinator and director for linkages. He has published numerous papers in the area of artificial intelligence, e-learning, and instructional technology.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2016
Langue: anglais
ISBN 10: 3659829560
ISBN 13: 9783659829567
Reliure: Broch�
Nombre de pages: 184
Coordonn�es du fabricant: non disponible
Personne responsable: KreGa Onlinehandel GmbH
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Roulette Wheel Selection Algorithm and Reinforcement Learning

Melvin Ballera

Edit� par LAP LAMBERT Academic Publishing, 2016

ISBN 10 : 3659829560 ISBN 13 : 9783659829567

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ballera MelvinDr. Melvin A. Ballera is a graduate of PhD in Computer Science at Strathmore University - Kenya and Master of Science in Philippines. He holds positions including research director, academic coordinator and director for. N� de r�f. du vendeur 158605899

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Roulette Wheel Selection Algorithm and Reinforcement Learning

Melvin Ballera

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783659829567

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Roulette Wheel Selection Algorithm and Reinforcement Learning

Melvin Ballera

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 184 pp. Englisch. N� de r�f. du vendeur 9783659829567

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Roulette Wheel Selection Algorithm and Reinforcement Learning

Melvin Ballera

Edit� par LAP Lambert Academic Publishing Dez 2017, 2017

ISBN 10 : 3659829560 ISBN 13 : 9783659829567

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Taschenbuch. Etat : Neu. Neuware -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.Books on Demand GmbH, �berseering 33, 22297 Hamburg 184 pp. Englisch. N� de r�f. du vendeur 9783659829567

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