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Using Educational Robots to Enhance Learning : An Analysis of 100 Academic Articles / / by Dejian Liu, Ronghuai Huang, Ying Chen, Michael Agyemang Adarkwah, Xiangling Zhang, Xin Li, Junjie Zhang, Ting Da



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Autore: Liu Dejian Visualizza persona
Titolo: Using Educational Robots to Enhance Learning : An Analysis of 100 Academic Articles / / by Dejian Liu, Ronghuai Huang, Ying Chen, Michael Agyemang Adarkwah, Xiangling Zhang, Xin Li, Junjie Zhang, Ting Da Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Edizione: 1st ed. 2024.
Descrizione fisica: 1 online resource (266 pages)
Disciplina: 371.33
Soggetto topico: Educational technology
Education - Data processing
Inclusive education
Digital Education and Educational Technology
Computers and Education
Inclusive Education
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Preface -- Reading Guidelines of This Handbook -- Background material necessary for the effective use of this book -- Topic 1 Personalized Tutoring through Conversational Agents -- Topic 2 Robotics in STEM Education -- Topic 3 Robotics-Oriented Programming -- Topic 4 Language Learning with Social Robots -- Topic 5 Teaching with Robotics in Classrooms -- Topic 6 Robot-assisted Special Education -- Topic 7 Robot-Based Cognitive Training for the Senior People with Special Needs -- Postscript.
Sommario/riassunto: This book presents advances in the research of educational robotics and showcases how they can be used to facilitate learning. It summarizes popular and relevant terms and theories in educational robotics via analyzing one hundred influential journal articles in this field, to provide readers background knowledge on the subject matter. This book also guides readers in understanding how different types of robotics are utilized to promote learning among different types of students, in different contexts, and in different disciplines of study.
Titolo autorizzato: Using Educational Robots to Enhance Learning  Visualizza cluster
ISBN: 9789819758265
9819758262
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910890189903321
Lo trovi qui: Univ. Federico II
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Serie: Smart Computing and Intelligence, . 2522-0896