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We need to understand the potential of AI and the potential harm.

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They can’t understand the feeling of the human.

We must be more human than ever now that we have so many smart machines that are living with us.

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You write something and this software suggests your mood. Could be used in class as an icebreaking activity as it stimulates a lot of discussion amongst the participants - some agreeing and some not.

http://www.depechemood.eu/?fbclid=IwAR0BbPwlDPJJja72MKIvDAEyFxCKaz6jtnkTwUXYmPC-v9yfWJy18bMo3HA

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Neural networks has 3 parts.  The first layer is the input layer where data enters the network through very different sizes and shapes, categorised, labelled and tagged etc. and then this is where the magic happens.  The hidden layer is the place where we think about something – the algorithms just process the data taken from the input, defines the rules and then the output layer we get the conclusion or decision.

Neural network are also called artificial narrow intelligence. Designed for a specific task like google translate. But here in the deep one that is more sophisticated, the data int

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Deep learning – the main aim of machine learning is to develop machines to be independent at solving problems and interpret data. Try to reproduce the way we learn. Takes the problem bit by bit, find lower levels step by step towards higher levels.  Used to analyse huge amounts of complex data.

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Chat bots:  Machines simulating more or less by human conversation

Used in medical health, fuel station,

They can’t find answers on their own.

Virtual assistance – like Alexa;  Google assistant;   Microsoft something. . .  act like personal assistants – managing our emails, music, but they are still machines.

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• Connect with others to learn together even if you don’t know each other personally
• It could mean personalised learning network
• Network = group of people, in order to learn from each other
• We all need help from time to time, even if for support and to share experiences
• Use social media and technology to communicate and collaborate
• PLN is a mindset

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1. record of your thoughts and reflections and
2. save links to resources and information suggested by the course experts and other participants.
3. show that you have reflected on the questions introduced on the course
4. engaged with the ideas of others on the course

1. Your answers to the questions posed during the modules (usually underneath the videos).
2. Comments, ideas, resources from the course materials and shared by other course participants that you have found interesting or relevant for your own situation.

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1.      Find source and read

2.      Check deadlines

3.      Key-items – course materials, discussions, assignments and grade centre

4.      Plan use mobile and laptop

5.      Build relationship with classmates

6.      Time management – don’t leave for last minute

Be engaged;  read syllabus;  explore web-pages; build calendar;  time management;

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1.      Setting the goal

2.      Time management

3.      Self-evaluation

4.      Using appropriate task management (do you need to draw a plan / mind map)

5.      Elaboration strategies – you try to link the content of the work to the profession of the practice)

6.      Help seeking – if learners search for help they are less likely to achieve their goals.

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A screenshot from the first video clip about how to keep myself motivated to follow this AI course