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History indicates learning machines are likely to fail.......The development of teaching machines is traced from the patented educational devices of the 19th century through the initial teaching machines of Sidney Pressey in the 1920s to the machines invented by B. F. Skinner in the 1950s. The obscurity of Pressey's pioneering work in this field contrasted with the fame achieved by Skinner is discussed in a historical context. The final sections discuss the short-lived success and eventual failure of classroom teaching machines in the 1950s and 1960s. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

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History indicates learning machines are likely to fail.......The development of teaching machines is traced from the patented educational devices of the 19th century through the initial teaching machines of Sidney Pressey in the 1920s to the machines invented by B. F. Skinner in the 1950s. The obscurity of Pressey's pioneering work in this field contrasted with the fame achieved by Skinner is discussed in a historical context. The final sections discuss the short-lived success and eventual failure of classroom teaching machines in the 1950s and 1960s. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

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Teaching in a specialist area such as music or art. Could a robot be programmed with enough intelligence to see nuances in music or art? If a student is performing a technically accurate piece of music, but without emotional content, a robot would have to be very advanced to pick up on this and improve the interpretation of it. Art also....lighting within a creative work...next step etc

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Teaching in a specialist area such as music or art. Could a robot be programmed with enough intelligence to see nuances in music or art? If a student is performing a technically accurate piece of music, but without emotional content, a robot would have to be very advanced to pick up on this and improve the interpretation of it. Art also....lighting within a creative work...next step etc

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This has some interesting comments as to 'Yes' to robot teachers 

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This has some interesting comments as to 'Yes' to robot teachers 

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eg - teach children regardless of background/finance
http://www.online-sciences.com/robotics/robot-teachers-uses-advantages-and-disadvantages/

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Teachers model the curriculum area and the culture of learning.

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Teachers model the curriculum area and the culture of learning.

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Robots are unlikely to replicate human musical performance.
The instrumental musician shows the students the validity of the teachers current practise in real time.
"I play therefore they can play."  The student has the cultural context of the classroom mini-concert within which they continue to learn.
This article is about

Situated Cognition and the Culture of Learning

http://journals.sagepub.com/doi/abs/10.3102/0013189x018001032

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How can a robot check for understanding?

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How can a robot check for understanding?

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knowledge isn't the same as understanding...

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Primary and nursery education teaching professionals

Likelihood of automation?It's quite unlikely (9%)
BBC n

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http://link.springer.com/article/10.1007/s10676-016-9387-z
There are also concerns about the ability, and use of robots to control or make decisions about children’s behaviour in the classroom. It is concluded that there are good reasons not to welcome fully fledged robot teachers (s1), and that robot companions (s2 and 3) should be given a cautious welcome at best. The limited circumstances in which robots could be used in the classroom to improve the human condition by offering otherwise unavailable educational experiences are discussed.

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how likely? try this link - it shows it's 9% likely for primary teachers at this stage! I think I'm safe in my career for a while longer....

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Oxford University academics Michael Osborne and Carl Frey calculated how susceptible to automation each job is based on nine key skills required to perform it; social perceptiveness, negotiation, persuasion, assisting and caring for others, originality, fine arts, finger dexterity, manual dexterity and the need to work in a cramped work space.

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Oxford University academics Michael Osborne and Carl Frey calculated how susceptible to automation each job is based on nine key skills required to perform it; social perceptiveness, negotiation, persuasion, assisting and caring for others, originality, fine arts, finger dexterity, manual dexterity and the need to work in a cramped work space.

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With the right balance of human and machine interaction, it could be a net positive for education around the world. Bernard Marr 

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With the right balance of human and machine interaction, it could be a net positive for education around the world. Bernard Marr 

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What areas could robots / AIs reduce T workload in?

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What areas could robots / AIs reduce T workload in?

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Roll taking - morning notices... marking, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/511256/Eliminating-unnecessary-workload-around-marking.pdf

interesting as this article relates to GPs http://fortune.com/2012/12/04/technology-will-replace-80-of-what-doctors-do/

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"People are social animals," Koller said. "They like to learn in groups and they like to learn from people."
http://www.recode.net/2016/6/22/11985726/robot-teachers-artificial-intelligence-coursera-daphne-koller

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Robots are limited in emotional response

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Robots are limited in emotional response

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Teaching and learning is primarily relational. "Students learn best from teachers they like." We like people who show they care about us by remembering about me ie my "non-school" life.

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- AI can easily provide explicit teaching / create specific assessment gathering and collation for individual students / can adjust to students needs and provide instant lesson plan for students
- Real life teacher will ensure relationships are formed/ be the motivator and the facilitator for values and high expectations

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A coggle prepared by another mindlab group!

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A coggle prepared by another mindlab group!

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where will this robot/AI think lead?

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Will robots/AI reduce the need for human teachers?

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A Coggle Diagram about Acquire (asking questions, Acquiring information and validating it, using our key words to find resources- books, ejournals, You Tube..., experiences, Survey other people for their opinions, Robots are taking over - Youtube, examples of AI in education and Tec for Tots - Link Title), Use (create an AI learning experience, debate with others, experiment/ test out theories, compare theories, collaborate and review), Evaluate (Have I got a whole new set of questions?, Did you find any answers?, Did we manage to prove a point?, Ultimately are you convinced or have you convinced others about your P.O.V.