Computational Thinking - Success for All

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100% of survey complete.
This survey aims to explore the question, “Does every pupil show proficiency in programming when it is first introduced in class?”  For validity, the questionnaire will be issued to around 100 practitioners.  The ten questions should take around 5 minutes to complete.  There will be an opportunity at the end of the questionnaire for any additional comments or burning issues you feel worth consideration in relation to any aspect of computational thinking.  Findings will underpin the creation of a short series of activities for primary age children. There is also an opportunity to indicate an interest in continuing to be involved in this project.

Background

Computational Thinking (CT) has been hailed as valuable to everyone in the population, and if so, it should be taught to all.  In addition, The Commission for Developing Scotland’s Young workforce (DYW) (2014) made recommendations to improve the employment prospects for Scotland’s young people.   With the increasing value of computational thinking from governments and industries, including non-digital, there is a need for high quality learning and teaching in the area.

A typical reaction to this need is to equate computational thinking skills with programming skills and introduce programming from very early in the school curriculum.  Given the difficulty that both schools and universities have faced for decades in enabling all learners to succeed at programming, we are questioning the value of this approach.  In particular, are there pre-requisite skills to programming / computational thinking? 

As a starting point, we want to ascertain whether novices who are introduced to programming via one of the new wave of educational programming environments (e.g. Scratch, Alice, Kodu, Bee-Bots etc.) are broadly universally successful in picking up the ideas and skills.

If all novices are successful, then a curriculum with exposure to programming at the early stages is sound.  But if they are not, then we need to explore why some novices succeed where others don't.  The difference could be innate, but our hypothesis is that it is more likely to be to do with attitudes to learning, kinds of toys played with, parental and sibling role models.  We begin to gather data on this at the end of the questionnaire.

This research is part of a PhD study exploring worthwhile computational thinking skills irrespective of a child or young person’s chosen career. 

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* 1. Have you directly taught programming to children

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* 2. Was it their first experience of programming in formal education?

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* 3. Which programming environment did you use?  (Please tick all that apply)

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* 4. what age were the pupils taught?  (Please tick all that apply)

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* 5. Which teaching approach was used? Please tick all that apply.

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* 6. Which concepts were taught? (Please write don't know if unsure)

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* 7. How many pupils were taught at the same time? (Please tick all that apply)

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* 8. Levels of success

  <25% 26-50% 51%-75% 76%-100% Dont know
How many pupils (approx) achieved immediate success (no or minimal instruction and completed the task independently)?
How many pupils (approx) achieved some success (Pupils who required some support, worked steadily through the activity seeking assistance from peers or adults)?
How many pupils (approx) required high levels of support (pupils who did not complete the activity, were distracted or spent long periods of time on one aspect)?
How many pupils were highly motivated before and during the task?
How many pupils showed increased levels of motivation as the task continued?
How many (if any) pupils show unexpected levels of motivation in relation to their motivation in other aspects of their learning?
After the initial introduction how many pupils continued to develop their skills at home or in their own time?
How many pupils knew that developing their skills at home or out of school was an option? (EG: downloading programming environments to their own devices etc)

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* 9. Please leave blank if unsure or answer not known

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* 10. Thank you very much for completing this questionnaire.  Updates on the research will be available on Twitter @ECM2016.  Please email ecm2016@gmail.com for any questions or queries relating to the project.  

If you are interested in continuing to be involved please include your email details or Twitter account below. (Optional)

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