Tuesday, July 20, 2021

Evaluation As91032(1.7) Trigonometry

 













This is the second internal assessment. In this internally assessed 91032 Trigonometry standard, 19 learners have gained 3 credits and four of their work is under progress as they have missed too many lessons. I am pleased with six Merits compared to the first internal. Learners really enjoyed this as this a practical-oriented and less contextual-based question.

Here is the learners' voice:





Sunday, July 11, 2021

Matariki and 9TPt

 We celebrated Matariki week by making Maori cultural design art using google drawing and drawing by hand. Here are the designs made by 9TPt (this is a shared class between Ms. Karen Fergoson and I.)
The research shows that it is important to remind ourselves why diversity and cultural awareness is so crucial in the classroom and the benefits it can have on students now and in the long-term. These culturally responsive teaching strategies will help you to promote diversity in the classroom.























Saturday, July 10, 2021

PEEL Strategy

  Last week my learners have been working on Analysis. I used PEEL, a literacy strategy to write Analysis.

What is PEEL's strategy?
P
- Point
E
-Explain/ Elaborate
E
-Evidence/Example
L
- Link it to the population
At level one we focus on PEE only.


Step1-I gave them a frame with writing languages.
Here is the generic frame.

Point

What you see

In my sample I noticed….    (comparison statement)

Evidence

Give values  (statistics)

The evidence for this is….    (give the values to back it up)

Explanation

Explain what it means

This means that        (what it means more generally)

Link

(This part should be in the conclusion)

Link back to the population and context

Back in the population I would have expected

This confirms my initial about the population that….

This is surprising because back in the population….                    

 

Explanations sought to explain what has been identified features

Be specific about what you mean as the population

 

 

Centre

Median (or mean) comparison

·         Are they similar are different?

 

P: statement comparison position of medians in context

E: Median values and the difference to support previous statement

E: explain what it means about the situation. if one is significantly higher than the other then that group tends to have a greater...  

Spread

 

Size of the Middle 50% (Inter-quartile range)

 

P: do the groups have a similar or different spread (wider range) of the middle 50%

E: IQR of each group and the difference is the size of these

E: what does it mean about the groups

  If similar= similar variation of the central cluster.

  Boxes are small then more consistency in values

  Boxes are large then greater variation in values

  If different one group more consistent and less varied in middle 50%

Shift/Overlap

 

 

 

 

 

 

 

 

 

Relative positions of the middle 50% (boxes)

·         One group is shifted further up/down the scale than other group.

·         The boxes do / do not overlap

·         The overlap is small / large

 

P: is there relatively large (small shift) or small (large shift) overlap between the boxes?                If there is a big overlap we can say the 2 data sets are quite similar

E: show and describe, with values, the shift: 50% vs 75%

E: Describe what it means, large overlap = similar measurements and central tendency

  Small overlap = one group tends to have higher/larger measurements than the other

Step2I did a close activity to write statements as my learners found it very challenging.
http://www.jake4maths.com/grapher/imagetemp/CpwTt5gl1F.png

male

Female

Difference

Min




LQ




Median




UQ




Max




Range =Max - Min





Inter quartile range= UQ-Lq





Analysis:

CENTRE:
I notice that the median ------- of the female/male sample is slightly higher/significantly higher /similar that the male/female ------ sample median.
This means that there is only a small/huge/no difference between the median ---------- for this sample. 
The median ---------------- for the female/males is ------ which is only -------- higher than the female/male  -------- median of --------kg.
SPREAD:
IQR (Interquartile range)= upper quartile - lower quartile
I notice that the middle 50% of the -------- for each of the sample distributions have a slightly higher/significantly higher /similar spread.
The IQR for the male sample is ------ and the IQR for the female sample is --------which is only -------- higher than--------.
.
SHIFT/OVERLAP:
I notice that there is significant/slight/ no overlap between the male and female middle 50% of weight in this sample distribution. The LQ, median, UQ of the male sample is only slightly ---------------- than the female sample.
This indicates that there is not much/ huge difference between the ------------------------- of male and female students in this sample.
The male sample LQ has shifted -------- up the scale, the median has shifted --------------- up the scale and the UQ has shifted ---------------- up the scale.

Here is the learners' example- Link1Link 2 & Link3.


SOLO AS91035(1.10) Multivariate data

I found the SOLO taxonomy very useful to differentiate between Achievement, Merit, and Excellence.

Here is the breakdown.

Achievement

Merit

Excellence

Pose a question using 2 qualitative variables and one quantitative variable.

 

 

Create 2 graphs

Box and Whisker

Dot Plot

 

 

Provide summary statistics

 

 

Analysis

State at least 2 features comparing the two variables

 

2 different features discussed in context stating figures from statistics.

3 different features discussed in context giving reasons and meaning to the comments.

Centre

Spread

Shape of Distribution

Answer the question OR make an informal reference to the population

Answers the question with evidence to justify.

Gives a statement about the medians in making a call or states it is too close to call with evidence.

 


Refers back to population

Makes a call citing comparison of medians OR mid 50%

Must refer back to Population

 

No Contradictions

 

3 comments showing abstract thinking

eg  Variability

      Expected results

      Contextual knowledge

Other contributing Factors

 

Open day activitics