Monday, 12 October 2015

CPD - Mindset - 12/10/15

Aim: To outline a few pedagogical implications of mindset theory and routes towards nurturing growth mindsets

Key points



  • Key phrase from kids: "I'm not smart". Response: "Become smarter through learning".
  • What individuals believe about concept of ability is more important than 'ability' itself
  • Meaningful success requires effort
  • (perfect) practice makes perfect --> OR practice until you cannot get it wrong!!
  • Motivating students.... Intrinsic: doing something for the thing itself - a focus on process
  • Keywords: drive and curiosity 
  • Praise... Good EFFORT rather than good WORK
  • Students to self-monitor their own work --> they have to do the work = most effective feedback
To do

  • Reinforce students seeking challenges... Create worksheets to challenge pupils (as extension tasks?)
  • Look into mindset stickers
  • Trying out meta starters/mains/desserts:

Links

ICT department Google Doc HERE

Monday, 5 October 2015

Subject Specialism Training - Introduction 5/10/15

Key issues

Time to learn
'winging it'
Keeping one step ahead
Dry subject - trying to 'pimp' up the resources/lessons
Programming - not comfortable 'modelling' it in front of the class
Hard to motivate students to WANT to learn

Impact on pupils

Attitudinal surveys - Finding out if their subject knowledge has improved, they are the feeling more motivated, etc

Admin

Alison Annetts and Nicky Henry - admin
mslc@soton.ac.uk

Support in school

Tig to teach 11m7!!

Computing with Tig - Intro

Definition of Computing: Solving real world problems using computers
History of Booting - boot-strapping - use as a starter task
History of Spam - spamming a thread using the Monty Python SPAM clip - use as a starter task
Computational thinking starters e.g. chicken crossing the road solution
GIF images have 256 colours (128, 64, 32, 16, 8, 4, 2, 1)
Abstraction (London tube map) --> what we turn it into
Decomposition --> breaking it down into manageable chunks
Systems analysis --> a problem solving technique that decomposes a system into its component pieces