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Week 5 19 April 2017

Week 5 - 19 April 2017
Digital - Computational Thinking
Computational Thinking Means...
  • Solving problems
  • Applying abstraction and decomposition
  • Thinking algorithmically - what’s the process?
  • Thinking conceptually - what’s the model?
  • Understanding how things repeat and scale
  • Dealing with errors
    ...among other things (depends who you read)
Computational thinking is a way humans solve problems; it is not trying to get humans to think like computers.
Computational thinking is taakin an approach to solve problems
Computational thinking means...
Decomposition - breaking down data, processes or problems into smaller manageable parts
Pattern recognition - observing patterns, trends 
Abstraction - Identifying the general principle
Algorithm Design- Developing the step by step instructions to solve this and similar problems
Apply recipe(algorhythm) to solve problems.  Strategies solve problems

Coding is the universal language of this generation.
Using Scratch to make basic geometrical shapes in collaborative groups - great extension idea for maths 







Leadership - Developing a Growth mindset
The Backwards Brain Bicycle you tube clip is a great way of decsribing how we can learn new things and unlearn new skills.  Neuroplasticity. 
Mindsets
Mindsets are beliefs; how you think about yourself, your intelligence and talents, what it is you can and cannot do. Ultimately, this affects how you perceive other people and their abilities, talents and capabilities, what they are and are not capable of.
Dweck's Theory of intelligence  Dweck (2006) descried two different views of intelligence. The previous view is that there is a fixed intelligence that can be measured using an IQ Test. No matter how much you learn, or how hard you work, your intelligence stays the same. Her view of intelligence is that  the brain is malleable: it is like a muscle that can get stronger and work better as you learn and stretch yourself. Over time, you can get smarter. This leads to two contrasting views of mindset, fixed and growth:
Fixed Mindset People with a Fixed Mindset believe that the abilities and capabilities they have are fixed traits. Their intelligence is set, they are talented at certain things and not others. They believe that it is whether or not someone is talented at something is what allows them to be successful at something or not.  Intelligence is fixed and can be measured.
Growth Mindset  People with a Growth Mindset believe that their intelligence, and abilities can be developed and grow. Through hard work, dedication and time, people can learn new talents, learn new things and become more intelligent. Teaching a growth mindset encourages learning, develops relationships and self efficacy. The brain is malleable, it can grow, stretch and expand. The harder you work, the more you can learn.
Ways to Develop a Growth Mindset
By changing the language we use. The power of 'not yet' in the classroom. "I have not learnt this yet" shows a growth mindset, rather than saying "I can't do this", or "I failed" which shows a fixed mindset. Changing the way we talk in the classroom, 'What we are learning' rather than 'Here is the work to do'. What is it that we value? Do we value the end product or the learning process? (Dweck, 2006)
Critiquing Growth Mindset


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