DRAFT — under teacher review.

Explaining vs Describing Your Data Collection

The Hamilton and Alexandra College · Year 12 · 2026

The jump from 7–8 to 9–10 on Indicator 1 (Data Collection) comes down to a single word in the rubric: "explains" instead of "describes". Every year, students hit 7–8 and can't understand why — it is almost always this.

Tip

Read your data-collection-plan.md and circle every sentence that contains the word "because". If there are fewer than three, you are describing, not explaining — and you will cap at 7–8 regardless of how thorough the plan is.


The rubric in plain language

Band What the rubric actually says What that means in practice
7–8 Describes how the data collected will be used to determine user characteristics and the technical environment You say what the data is for. "I used interviews to find out what features users want."
9–10 Explains the use of the selected data collection methods You say why this method was the right choice for this kind of data. "I chose interviews over surveys because I needed qualitative insight into workflows that users couldn't easily articulate in a questionnaire."

The word "explains" requires a reason — not just a statement.


Side-by-side: same plan, two different bands

The scenario: a student whose project is a school assignment tracker. They used interviews and a survey.

7–8 version (describing)

I used an interview with my client to find out what features they wanted in the assignment tracker. I also used a survey to ask students which subjects gave them the most homework. These helped me determine the requirements for the system.

What's missing: There is no reason given for why an interview was chosen over, say, a survey. There is no reason given for why a survey was used for students rather than interviewing them. The student is describing what happened, not explaining the decision.

9–10 version (explaining)

I chose an interview for my initial data collection because my client — a teacher — needed to articulate complex workflow preferences that a survey's fixed-choice responses couldn't capture. A face-to-face conversation allowed me to follow up on unexpected answers in real time. I then chose a survey for the broader student group because I needed countable data — specifically, which subjects generated the highest homework load — and a survey's closed-ended questions give me numbers I can rank. Interviewing 30 students would have been impractical in the available time, and quantitative data served the purpose better here.

What's there: Each method has a reason tied to the type of data needed and the practical constraints. The student is not just listing methods — they are justifying each one against the alternatives they did not choose.


The formula for an "explaining" sentence




See also


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