Analysing data is an important aspect of teaching as it allows us a better picture of strengths and things that need improvements. During our second RPI session we learnt how to analyse our PAT data. We received some interesting results and were able to see where we needed to improve.
My mentor helped both my co-teacher and I, analyse our data from PATs and easTTle. We use graphs to show where pour learners are and analyse our graphs to find our strengths and gaps within our data. We then focus on the gaps in order to inform our teaching.
Below is the analysis of our PAT reading data.
I was very impressed to see all (7/7) year 4 students achieved "at" or "above" the expectation. This was unexpected as this was their first year completing a PAT test online. 3/7 year 4 students were above their expectation.
82% of year 5 learners were "at" or "above" expectation which was great to see.
Below are our stanine reports for year 4, 5 and 6.
- 57% of Y4 students were stanine 5-6.
- 43% of Y4 students were stanine 7-8.
- 100% of Y4 learners were “at” or “above” expectation.
- 82% of Y5 learners were “at” or “above” expectation
- 50% of Y6 learners were “at” or “above” expectation.
- Retrieval questions show learners were able to find and use information to answer questions.
No comments:
Post a Comment