Applications of Machine Learning and Artificial Intelligence in Education

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.