Comments on: The machine learning effect: Magic boxes and computational thinking 2.0 https://www.raspberrypi.org/blog/machine-learning-education-school-computational-thinking-2-0-research-seminar/ Teach, learn and make with Raspberry Pi Wed, 13 Jul 2022 13:29:43 +0000 hourly 1 https://wordpress.org/?v=6.2.2 By: Jane Waite https://www.raspberrypi.org/blog/machine-learning-education-school-computational-thinking-2-0-research-seminar/#comment-1565807 Thu, 02 Dec 2021 15:57:05 +0000 https://www.raspberrypi.org/?p=77173#comment-1565807 In reply to Stuart Andrew Jones.

Many thanks for your comments about the blog post.

I entirely agree with your points.

I agree that CT1.0 will continue to be the mainstay, with CT2.0 as an addition. Maybe it should have been called CT1.0plus.

It will be fascinating to see how CT2.0 pans out practically in terms of teacher professional development, resources and student learning.

I also agree that there is much work to be done to figure out both what we teach and how on AI/ML and data science. It’s an exciting time – lots of collaboration and hard thinking to be done.

]]> By: Stuart Andrew Jones https://www.raspberrypi.org/blog/machine-learning-education-school-computational-thinking-2-0-research-seminar/#comment-1565434 Mon, 22 Nov 2021 16:13:06 +0000 https://www.raspberrypi.org/?p=77173#comment-1565434 It is hardly surprising that teaching students about machine learning is a work in progress, because the entire field of AI/ML is itself rapidly evolving, as is our understanding of the risks and ethical dilemmas posed by the rapid (perhaps too rapid) application of this technology in society.
I believe that it is essential that CT 1.0 be taught first, if only because the programs that perform AI/ML are constructed using the toolsets of CT 1.0.
If we wish to educate learners of all ages about CT 2.0, we will need some carefully curated datasets for learners to practice with (including some that illustrate biases that turn Artificial Intelligence into Artificial Stupidity–it has been my experience that novices learn as much from failure as from success in applying computer technology).

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