dataviz, education

Beginning of the Year: Grade Level Demographics Data

What do teachers need at the start of the year?

As teachers start out the school year, one of the first things on their mind is what type of class they will get.

How are the students?

Will they be high flyers?

Will they need learning support?

How many students will be new to the school?

How many boys will I have compared to girls?

Will I have any students coming in with known academic issues?

Educational institutions, especially international schools, are able to answer these questions pretty easily if they want to. We collect data on all this information. However, it is accessible to the people that want it or need it? What can we do to visualize this information so it is easily communicated at the right time to the right audience?

As a former classroom teacher, I would have loved to have this information available to me. After moving into the role of a technology coach and data specialist, I decided to make this one of my first priorities. I wanted to build a one-page “grade level at a glance” document for administrators and teachers to use to access information about the incoming cohort of students.

You don't know until you know

At the beginning of the school year, this report was presented to the administration. They were able to get a quick glance at each grade level and do a simple comparison to get an idea of the overall make up of each grade level cohort. The administration agreed that this would be an ideal document to share with grade-level leaders.

At our grade level leader meeting, teachers were excited to see the data. Right away, teachers were able to start having discussions about incoming students compared to last year’s students. They were quickly able to see what some potential needs would be with remediation and extension. Although they didn’t have the breakdown for their own specific class, as grade-level leaders, they could get a pulse of the entire grade level very quickly.

If this is something you would like to set up, there are a few things to keep in mind. The first thing is planning it out. Start analog with sketching. List the items that you want to report on and start sketching variations of what this might look like.

Beginning of the Year: Grade Level Demographics Data

Next, consider the layout. You’ll have to go through several iterations once you start building charts. This is is why you have done some sketching. Try to be consistent with colors and fonts in order to keep the overall look of your report consistent.

Once you have your sketches, you can then begin to clean and organize your data source. When trying to produce explanatory, static data, pivot tables come in handy for this type of work. For most data, you are likely looking at the beginning of the year compared to the end of the year. You might also be looking specifically at growth. If you have your data set up correctly you can easily find the growth of an area by subtracting the end score from the beginning score. This can be done on a point scale or converted to a percentage, depending on the data.

After your charts are built, try to do a few variations and get feedback from others on your charts. Feedback is critical. You want to make sure you get this from another person or a small group of people before sending it out to the wider audience. Remember that you know the data well, so you already know what the message is, your audience might not understand what you are trying to say. Getting feedback from others will help you clarify your message, making it stronger in the long run.

When you have your final charts chosen, you could have a one-page example that explains each section. Ideally, you want to be able to give your audience the charts and not have to explain what they mean. This is the ideal use of data visualization.

Chris

Chris Smith is an academic data analyst in the international education field. Throughout his 25 years in education, he noticed schools and educators collecting data but struggling with being overwhelmed or not knowing what to do with the data. So, he began coaching, training, and consulting schools and educators to learn how to discover what data they actually need and how they can turn it into information that leads to insights and informed decision-making.

All Posts