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Cognitive tutorcustom-tailored pedagogical approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cognitive tutorby Ninni Singh, Vinit Kumar Gunjan, Jacek M. Zurada.
其他題名:	custom-tailored pedagogical approach /
作者:	Singh, Ninni.
其他作者:	Gunjan, Vinit Kumar.
出版者:	Singapore :Springer Nature Singapore :2022.
面頁冊數:	x, 180 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Intelligent tutoring systems.
電子資源:	https://doi.org/10.1007/978-981-19-5197-8
ISBN:	9789811951978$q(electronic bk.)

Cognitive tutorcustom-tailored pedagogical approach /
Singh, Ninni.

Cognitive tutorcustom-tailored pedagogical approach /[electronic resource] :by Ninni Singh, Vinit Kumar Gunjan, Jacek M. Zurada. - Singapore :Springer Nature Singapore :2022. - x, 180 p. :ill. (some col.), digital ;24 cm. - Advanced technologies and societal change,2191-6861. - Advanced technologies and societal change..

Introduction -- Domain Modeling -- Pedagogy Modeling -- Building SeisTutor Intelligent Tutoring System for Experimental Learning Domain -- Pedagogy Modeling for Building SeisTutor Intelligent Tutoring System -- Execution of developed Intelligent Tutoring System -- Performance Metrics: Intelligent Tutoring System -- Analysis of Performance Metrics.

This book illustrates the design, development, and evaluation of personalized intelligent tutoring systems that emulate human cognitive intelligence by incorporating artificial intelligence. Artificial intelligence is an advanced field of research. It is particularly used in the field of education to increase the effectiveness of teaching and learning techniques. With the advancement of internet technology, there is a rapid growth in web based distance learning modality. This mode of learning is better known as the e-learning system. These systems present low intelligence because they offer a pre-identified learning frame to their learners. The advantage of these systems is to offer to learn anytime and anyplace without putting emphasis on a learner's needs, competency level, and previous knowledge. Every learner has different grasping levels, previous knowledge, and preferred mode of learning, and hence, the learning process of one individual may significantly vary from other individuals. This book provides a complete reference for students, researchers, and industry practitioners interested in keeping abreast of recent advancements in this field. It encompasses cognitive intelligence and artificial intelligence which are very important for deriving a roadmap for future research on intelligent systems.

ISBN: 9789811951978$q(electronic bk.)

Standard No.: 10.1007/978-981-19-5197-8doiSubjects--Topical Terms:

203569
Intelligent tutoring systems.

LC Class. No.: LB1028.73 / .S55 2022

Dewey Class. No.: 371.334

Cognitive tutorcustom-tailored pedagogical approach /
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520 $a This book illustrates the design, development, and evaluation of personalized intelligent tutoring systems that emulate human cognitive intelligence by incorporating artificial intelligence. Artificial intelligence is an advanced field of research. It is particularly used in the field of education to increase the effectiveness of teaching and learning techniques. With the advancement of internet technology, there is a rapid growth in web based distance learning modality. This mode of learning is better known as the e-learning system. These systems present low intelligence because they offer a pre-identified learning frame to their learners. The advantage of these systems is to offer to learn anytime and anyplace without putting emphasis on a learner's needs, competency level, and previous knowledge. Every learner has different grasping levels, previous knowledge, and preferred mode of learning, and hence, the learning process of one individual may significantly vary from other individuals. This book provides a complete reference for students, researchers, and industry practitioners interested in keeping abreast of recent advancements in this field. It encompasses cognitive intelligence and artificial intelligence which are very important for deriving a roadmap for future research on intelligent systems.
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