@Cathpot I agree with what you said about data analysis in science upthread. I think this is a really important skill, and it's worth teaching to students, and given enough time most students can grasp it. The problem is, as you say, it's teaching data analysis + other maths skills + science skills alongside a really content heavy curriculum, and there isn't enough time to do everything well (in my opinion).
I inherited a middle set Y11 class this year, who are lovely and mostly really hard working. Due to the amount of content, they have really had to rush through everything and there are lots of areas they just feel really shaky on, because they aren't secure in the knowledge- and that throws them when they are given a question about something unfamiliar- because they aren't sure whether they are meant to know about x,y,z or not.
We did a revision lesson on the heart/circulatory system not long before school shut. They have to know about 10 parts of the heart/named blood vessels, the 3 types of blood vessel, 4 components of the blood- that's 17 pieces of information before you even get into the structure/function/adaptations. And that might get them only one mark in a gcse paper (or none at all), but it might get them 10 marks, so they need to know it!
Higher science papers are testing comprehension, data analysis, application to new situations, evaluation skills and knowledge recall all on one paper, and it's a lot! I wonder if it would be better if paper 1 was all knowledge recall and then paper 2 was all skills based?
The really bright kids fly through without necessarily memorising all the facts, because they can do the skills based questions really well. But for the middle ability, hard working kids, these questions are more challenging, so they spend a lot of time struggling to learn masses and masses of content.