Week 13: Leadership- Teacher Inquiry into Student Learning

This week we had to select a teacher inquiry model that we liked, from a Google slide presentation of different teacher inquiries models. We chose to explore the model below because it provides an opportunity for children to explore the 'discovery' phase first, before developing wondering questions. The question we had posed was, "Will (ro)bots reduce the need for human teachers?" Here were our thoughts below, based upon the different aspects of the inquiry model we selected.

Ignite:

• Will (ro)bots reduce the need for human teachers?
• We hope to find out that our jobs are safe from (ro)bots in the future, or that we won’t be redundant.

Ask: (guiding questions, record everything you already know…)

• Already a mixture of online and face to face classes- not AI but not in class
• Flipped learning - banks of resources - a robot could be playing videos
• Teacher as facilitators
• Do robots need constant power and wifi? Who would programme it?
• Could a robot be a mentor?
• What would be the robot to student ratio?
• How can robot teachers encourage creative and innovative thinking for students - imitation…
• Would this change accents around the world
• Will children learn empathy qualities?
• A robot teachers assistant would be great!
• More control of emotions

Find: Organising resources: where do you get information? Bibliography?

http://www.smithsonianmag.com/history/the-jetsons-get-schooled-robot-teachers-in-the-21st-century-classroom-11797516/

http://ieeexplore.ieee.org/abstract/document/976257/?reload=true

http://link.springer.com/article/10.1007/s10676-016-9387-z

http://link.springer.com/article/10.1007/s12369-011-0116-9

http://www.livescience.com/5576-robots-replace-teachers.html

In the future, robots will only be used to teach certain skills, such as acquiring a foreign or new language, possibly in playgroups with children or to individual adults. But robot teachers can be cost-effective compared to the expense of paying a human teacher, Meltzoff told LiveScience.

"If we can capture the magic of social interaction and pedagogy, what makes social interaction so effective as a vehicle for learning, we may be able to embody some of those tricks in machines, including computer agents, automatic tutors, and robots," he said.