Name: Applications of Machine Learning and Artificial Intelligence in Education (en Inglés)
SKU: 56687073
Price: 157.26 USD
Availability: InStock
Author: Khadimally, Seda

portada Applications of Machine Learning and Artificial Intelligence in Education (en Inglés)

Applications of Machine Learning and Artificial Intelligence in Education (en Inglés)

Formato

Libro Físico

Editorial

Information Science Reference

Autor

Khadimally, Seda

Idioma

Inglés

N° páginas

300

Encuadernación

Tapa Blanda

Dimensiones

27.9x21.6x1.6 cm

Peso

0.70 kg.

ISBN13

9781799877776

Categorías

Técnicas y habilidades de enseñanza
Equipamiento y tecnología educativas, aprendizaje asistido por ordenador (cal)
Inteligencia artificial

Applications of Machine Learning and Artificial Intelligence in Education (en Inglés)

Khadimally, Seda (Autor) · Information Science Reference · Tapa Blanda

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Reseña del libro "Applications of Machine Learning and Artificial Intelligence in Education (en Inglés)"

Modes and models of learning and instruction have shown a significant shift from yesterday's conventional learning and teaching given this era's current educational and social contexts. Learners are no longer learning and communicating with human-generated, computed, and mediated-or traditional-learning and instructional practices, paving the way for machine-facilitated communication, learning, and teaching tools. Learning and instruction, communication and information exchange, as well as gathering, coding, analyzing, and synthesizing data have proven to be in need of even more innovative technology-moderated tools. Applications of Machine Learning and Artificial Intelligence in Education focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Covering topics such as data coding and social networking technology, it is ideal for learners with an interest in the deep learning discipline, educators, educational technologists, instructional designers, and data evaluators, as well as special interest groups (SGIs) in the discipline.