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      Applications of Machine Learning and Artificial Intelligence in Education

      2 in stock

      Firm sale: non returnable item
      SKU 9781799877769 Categories ,
      Focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Topics covered include data coding and social networking technology.
      Modes and models of learning and instruction have shown a signifi...

      £213.00

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      Description

      Product ID:9781799877769
      Product Form:Hardback
      Country of Manufacture:GB
      Title:Applications of Machine Learning and Artificial Intelligence in Education
      Authors:Author: Seda Khadimally
      Page Count:330
      Subjects:Educational equipment and technology, computer-aided learning (CAL), Educational equipment & technology, computer-aided learning (CAL)
      Description:Focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Topics covered include data coding and social networking technology.
      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.
      Imprint Name:Business Science Reference
      Publisher Name:IGI Global
      Country of Publication:GB
      Publishing Date:2022-02-28

      Additional information

      Weight1004 g
      Dimensions225 × 290 × 24 mm