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We present our experience of adapting a rubric for peer feedback in our data visualization course and exploring the utilization of that rubric by students across two semesters. We first discuss the results of an automatable quantitative analysis of the rubric responses, and then compare those results to a qualitative analysis of summative survey responses from students regarding the rubric and peer-feedback process. We conclude with lessons learned about the visualization rubric we used, as well as what we learned more broadly about using quantitative analysis to explore this type of data. These lessons may be useful for other educators wanting to utilize the same data visualization rubric, or wanting to explore the utilization of rubrics already deployed for peer feedback.

BACKGROUND AND OBJECTIVE:To assess repeatability and speed of a line-scan ophthalmoscope (LSO) image-based tracking system and compare to the point-scanning approach.PATIENTS AND METHODS:Thirty-five eyes with retinal diseases underwent volume scans using two spectral-domain optical coherence tomography (OCT) devices: a line-scan tracking Cirrus HD-OCT (Carl Zeiss Meditec; Dublin, CA) and point-scan tracking Spectralis HRA+OCT (Heidelberg Engineering, Heidelberg, Germany). Eyes were also imaged on the Cirrus HD-OCT with tracking disabled.RESULTS:Mean difference in central subfield thickness (CST) between consecutive scans was 2.6 µm for the Cirrus without tracking, 1.7 µm with tracking, and 3.6 µm for the Spectralis. The repeatability standard deviation was 3.0 µm for the Cirrus without tracking, 1.5 µm with tracking, and 4.0 µm for the Spectralis. Coefficient of variation for the CST was 1.1% for the Cirrus without tracking, 0.5% with tracking, and 1.4% for the Spectralis. Mean scan acquisition time was 12.3 ± 6.2 seconds for the Spectralis, 7.8 ± 6.7 for the Cirrus with tracking, and 4.3 ± 0.6 for the Cirrus without tracking.CONCLUSION:Real-time LSO image-based retinal tracking appears to improve repeatability of OCT retinal thickness measurements.[[Ophthalmic Surg Lasers Imaging Retina. 2015;46:310–314.]