Learning analytics explained Niall Sclater
Por: Sclater, Niall.
Tipo de material: LibroEditor: New York Routledge 2017Descripción: 278 p. gráf.ISBN: 9781138931732 (pbk); 9781138931725 (hbk); 9781315679563 (ebk).Tema(s): ANALISIS | APRENDISAJE | INFORMATICA | ANALYTICS | LEARNING | COMPUTINGResumen: Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field.Tipo de ítem | Ubicación actual | Biblioteca de origen | Colección | Signatura | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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Libros | Biblioteca Silvina Ocampo (Junín) | Biblioteca Silvina Ocampo (Junín) | GENERAL | 004.85 S419 J05434 (1) (Navegar estantería) | Disponible | J05434 |
Navegando Biblioteca Silvina Ocampo (Junín) Estantes , Código de colección: GENERAL Cerrar el navegador de estanterías
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004.81:159.953.5 P349 J05433 (1) Learning analytics: fundaments, applications, and trends | 004.82 K791 J03778 Self-Organizing Maps | 004.85 A654 J03733 (1) Aprendizaje automático | 004.85 S419 J05434 (1) Learning analytics explained | 004.91 B287 J04963 Fractals everywhere / | 004.91 G464 J04990 Principles of digital image synthesis / | 004.91 G464 J05009 (2) Principles of digital image synthesis / |
Index, abbreviations
Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics. Educational institutions increasingly collect data on students and their learning experiences, a practice that helps enhance courses, identify learners who require support, and provide a more personalized learning experience. There is, however, a corresponding need for guidance on how to carry out institutional projects, intervene effectively with students, and assess legal and ethical issues. This book provides that guidance while also covering the evolving technical architectures, standards, and products within the field.
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