Timed sky-and-data reading
The student is handed a star chart — or a real astronomical graphic like a light curve, an H–R diagram, or a spectrum — and a clock. Working against time, they orient the chart to find what’s above the horizon tonight, or read the graphic feature by feature, deciding what to check next based on what the last read showed. At the end they state the reading and justify it from the evidence in front of them. There is nothing to copy and no key to consult: the chart is real, the time is real, and the reading has to hold up.
| Criterion | Not yet | Approaching | Mastered |
|---|---|---|---|
| Systematic reading approach | Reads at random and loses track of which chart or dataset is which. | Has a rough plan but skips a step or backtracks inefficiently. | Works a logical sequence — orient first, then read feature by feature — tracking every chart or dataset without confusion. |
| Star-chart orientation | Cannot set the chart for the date and time, or find the horizon. | Orients the chart but hesitates on close calls, or loses the cardinal directions. | Sets the planisphere for the moment and locates constellations, bright stars, and visible planets confidently, allowing for what’s below the horizon. |
| Data-graphic interpretation | Cannot connect a graphic’s shape to what it means. | Reads obvious features but misapplies an axis or misreads a dip. | Reads a light curve’s period and dip, an H–R diagram’s main sequence and giants, or a spectrum’s absorption lines — and says what each one tells you. |
| Speed & accuracy under time pressure | Rushes into errors, or freezes and runs out of time. | Generally accurate but gets sloppy as the clock runs — skips a check or misreads a value. | Stays deliberate under pressure: reads carefully, checks the key values, and finishes within the limit. |
| Reading & justification | States a reading unsupported by the chart or data in front of them. | Names the reading but cites only one feature, or hedges between two. | States the reading and justifies it by chaining the features — the light curve’s period, the H–R position, the spectral lines — into a single conclusion. |
“The light curve dips on a steady 3.2-day period and the dip has a flat bottom — that’s an eclipsing binary, not a pulsating star; a Cepheid would rise and fall smoothly, not cut out sharply. I read the period straight off the time axis before I committed to the call.”
“There’s a dip, so something’s changing. I’d have to guess what kind of star without looking it up.”
This assessment is AI-proof by design: it happens with a real chart or dataset, against a real clock, in real time. No chatbot can orient a planisphere to tonight’s sky, read a dip off a live light curve, or justify a reading while the timer runs. The charts and datasets differ from student to student, so there is no answer to look up — mastery is shown by reading and justifying in person, not by submitting.