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Cognitive computing systems employing machine learning approaches to discover patterns of user behavior are essentially ‘social sensing’

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detecting socially meaningful events and phenomena amongst social media content

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a combination of human and machine aspect

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The social machine is the sum total of interactional and processual possibilities limited by the purpose of ‘learning’ and related socialisations

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forum activities exhibit social phenomena based around question answering processes, and can be ‘sensed’

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knowledge acquisition is indeed a common purpose of social machines.

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-the design of hardware and software implementation of neural processors

-algorithms and frameworks supporting the replication of human-like analysis of data

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-exhibit rich human-machine configurations
-involving adaptive devices in pervasive contexts working with messy unstructured data.

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a modern paradigm for computation with a nascent vision for the future of the human machine relationship.

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personify human actors such as virtual assistants

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not only to theinteractional possibilities of, and between, a collection of human and technological entities, but actual instances of such interaction

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It understands the web as heterogeneous, inter-connected system of heterogeneous entities

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human agent disappears
effects the way students take risks and the way they develop their relationship with teachers

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-generate a learning event in the midst of the student being engaged in other activities
-collaborative aspect

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-students
-teachers
-content providers and institutions
-professional associations
-education boards

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The technology is not only helpful for learning, but also committed to the cognitive process that supports learning

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E-learning is a method of linking people, technology and services together in order to achieve educational goals.

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As cognitive computing seeks to exhibit human-level abstractions of computational processes, it works to add human-level meanings to the web of sociotechnical phenomena

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E-learning theorists employ cognitive models of learning, and cognitive computing applications use machine learning techniques to understand student behaviour.

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Researchers seek to find socially meaningful patterns amongst socially generated data such as on twitter and facebook, patterns denoting social phenomena that are not immediately obvious from the data

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important sociotechnical phenomenon, referring not only to learning management systems of universities and similar institutions, but the pervasive activity of technology-mediated learning

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inspired by cognitive science and neuroscience, and based on machine learning, seeks to augment human experience by creating human computer usage contexts at amore human level of abstraction than the technical level of computer science

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relatively new discipline that employs traditional ideas of observation and analysis found in the natural sciences to sociotechnical phenomena and to engineering /creating solutions