Machine Learning – The smart classroom at Kareas High School.

Learning is one of the fundamental qualities of man’s intelligent behavior. The notion of learning has not been fully understood to date. Nevertheless, scientists in the field of artificial intelligence have developed systems capable of learning. Artificial Intelligence is a broad science of imitation of human abilities, machine learning is a subset of the artificial intelligence that trains a machine to learn.

Mechanical learning aims to create machines capable of learning, improving their performance in some areas through prior knowledge and experience. It is based on the idea that systems can learn from data, recognize patterns / patterns and make decisions with minimal human intervention. Mechanical learning is around us everywhere. We all use mechanical learning systems everyday, such as junk mail filters, search engines, translation services, It is expected that our mechanical learning systems will soon drive our cars and help doctors diagnose our illnesses. It is important, therefore, to know how this field and our world operate.

Therefore I decided to introduce it to my classes. I did a machine learning activity with 52 C class students, aged 14-15 years old. The students used the tool “Machine Learning for kids” (https://machinelearningforkids.co.uk/#!/about) so as to be introduced to machine learning and they trained a model for a smart classroom using the worksheet smartclassroom (https://machinelearningforkids.co.uk/#!/worksheets). The activity took place from 15/03/2019 to 02/04/2019 for one teaching hour per class. The students enjoyed this activity very much and they started thinking about other applications of artificial intelligence like digital lawyers.

Vasiliki Servou


https://repository.kallipos.gr/bitstream/11419/3382/1/02_chapter_04.pdf

https://machinelearningforkids.co.uk/#!/about

This entry was posted in 2019, Uncategorized by vasilikiservou. Bookmark the permalink.
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About vasilikiservou

I am an ICT teacher with 22 years work experience in the field I love teaching and I have the following qualifications: An honours degree in Physics from the School of Exact Sciences of Aristotle University of Thessaloniki, 1991. A Master's Degree of Science in Computer Science, University of Dundee, Department of Mathematics and Computer Sience-U.K., 1993. A master in Educational Studies (Continuing Education), Open University of Cyprus, Nicosia, Cyprus, Distance Learning Course, 2012. Certificate of Proficiency in English, University of Cambridge Local Examinations Syndicate, 1996. I am also Certified in the use and exploitation of ICT Research in educational teaching process Ministry of Education, Research and Religious Affairs, Decision of General Secretary of Ministry of Education and REligious Affairs 12690/09.11.2015

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