Assessment and Use of Evidence of Student Learning
What this domain asks you to know
Assessment questions test your ability to gather valid evidence of understanding, interpret it accurately, and act on it instructionally.
Concepts to master
- Formative vs. summative purposes: assessment for learning versus of learning.
- Validity and reliability: does the item measure the intended construct, and is scoring consistent?
- Item design: aligning items to cognitive demand, using distractors that reveal misconceptions, and avoiding construct-irrelevant difficulty (e.g., reading load).
- Rubrics and exemplars: analytic rubrics tied to the reasoning, not just the answer.
- Data use: item analysis, looking at patterns across students, and distinguishing a whole-class misunderstanding from individual gaps.
- Feedback: specific, timely, and forward-looking rather than a score alone.
Traps to watch for
Distractors treat a single score as a full picture of understanding, or "reteach everything" when data show a targeted gap. Another trap: an item that is technically correct but measures computation when the objective is reasoning. Also watch for grading participation or effort as if it were evidence of mathematics.
Rule of thumb
Before acting on assessment data, ask: Is this a whole-class pattern, a small-group pattern, or an individual pattern? Match the intervention to the pattern.
Worked example
On a quiz, most students solve 2x + 5 = 13 but miss 5 − 2x = 13. The pattern is not computation; it is handling a negative coefficient. The instructional response is a targeted comparison of solution structures, not a full reteach.