The Cohort Academic Growth Analysis dashboard provides curriculum leaders, year level coordinators, and leadership team members with insights into cohort performance and growth.
The dashboard is designed to be used for high-level analysis of a cohort at first glance, categorising students by their average performance and growth scores into four quadrants.
Student display modes
Depending on your requirements, you can display students in a neutral mode on the chart, or split students depending on groupings. The dashboard supports the following types of display split:
- Gender: female, fluid, male, other or unknown;
- House: as defined by your institute;
- Sex: female, male, other or unknown.
Note: Intellischool considers the gender of a student to be that which they identify as, regardless of their biological sex. A student's sex can only be female or male, or in exceptional cases 'other' where there is a biological reasoning for labelling them as such. Your institution may choose to track one or both of these fields.
If using the Gender display mode and no gender data is available, the dashboard will fall back to the student's sex.
Students are plotted on the dashboard into four possible quadrants. By default, these are:
- Most improved: top left, students that have improved over time (high growth) but have poor results;
- High achievers: top right, students that have improved over time and have good results;
- Coasters: bottom right, students that have good results, but aren't showing much growth or have negative growth; and
- Strugglers: bottom left, students that have poor results and either aren't improving much or have negative growth.
Your institution may rename these quadrants depending on requirements.
To view more information on an individual student, including the results used to calculate their performance and growth scores, click or tap on the student in the plot.
The dashboard will display all of the results available from the selected sources and within the selected domains.
A student's performance score is calculated by averaging individual scores from the domains and sources selected in the dashboard.
Numeric scores (such as percentages, or point scales) are converted to a value between 0 and 100.
Where a score is non-numeric, the dashboard uses the grade scales defined by your institution. These may be defined in your Learning Management System (if Analytics data is being synchronised from there) or configured directly in Albitros.
Once all scores have been assigned a numeric value between 0 and 100, they are averaged and output as the performance score.
A student's growth score is calculated by measuring growth across both standardised test results and teacher judgements / institute-assessed tasks.
When using standardised results (such as NAPLAN or ACER PAT results in Australia), growth is calculated based on student progression through result bands.
A growth rate percentage (either positive or negative) is calculated by measuring the student's most recent test result band against their previous test result in the same domain.
Growth rates also consider tests that imply a minimum level of progression. For example, a NAPLAN result for a student in Year 3 specifies Band 2 as a minimum standard, whereas in Year 5 the minimum is Band 4. If a student in Year 3 achieves a band result of 2, and then receives a band result of 4 in Year 5, the growth score will be close to zero as the student has not achieved growth beyond the minimum.
Note: Standardised test results ignore the time frame drop-down as standardised tests are taken at significantly wider intervals than teacher judgements / institute-assessed tasks.
Teacher judgements / institute-assessed tasks
The dashboard uses the time frame drop-down to stipulate which institute-assessed tasks should be included for analysis.
Tasks that fall within the selected time frame are averaged per learning domain, and a growth score is calculated across the time period selected (i.e: measuring whether a student's average assessment score improved or declined during the selected time frame).