103 Laboratory ten marking rubric

1. [d] Data tables content [max 15]
+1	per row reflection data (per coordinate pair)
+1	per row refraction data (per coordinate pair)
2. [t] Reflection table format and layout
3	Clear, concise, well thought out, informative
2	Missing borders or other minor format inconsistencies
1	Incomplete, runs off edges of page, lacks minimal margins
3. [g] Reflection graph format
3	xy scattergraph, correct axis labels
2	Missing a label, units, or other element
1	wrong graph type or multiple missing elements
4. [t] Refraction table format and layout
3	Clear, concise, well thought out, informative
2	Missing borders or other minor format inconsistencies
1	Incomplete, runs off edges of page, lacks minimal margins
5. [g] Refraction graph format
3	xy scattergraph, correct axis labels
2	Missing a label, units, or other element
1	wrong graph type or multiple missing elements
6. [a] Data analysis: mathematical and/or statistical analysis. [8, but more typically 6]
+1	reflection slope calculated
+1	reflection intercept calculated
+1	reflection percentage difference from 1.00 calculated
+1	reflection slope interpreted and explained
+1	refraction slope calculated
+1	refraction intercept calculated
+1	refraction percentage difference from 1.33 calculated
+1	refraction slope interpreted and explained

The following are also marked. Refer to the generic rubric for details.

7. [c] Conclusions – Content

8. [f] Format

[G] Grammar and Syntax [-2 if conclusion too short to judge grammar properly]

[V] Vocabulary [-2 if conclusion too short - taken as evidence of vocabulary limitations]

[O] Organization

[C] Cohesion [0 if conclusion too short to judge cohesion]

Instructional note: Groups of two to three are recommended and work well for this laboratory. At this point in the term some students become overly reliant on one person gathering the data and then copying the data from that one person, even tossing out their own measurements in favor of those from another group. If this issue develops, then one can assign uniqueness of data points as appropriate. The refraction data is useful for detecting this sort of activity - the position of the image as seen by different observers is often different for each observer. An example is provided below.

1. [u] Uniqueness [max 5, typically 3]
5	Only one person reported the refraction data
4	Two people reported the same refraction data
3	Three people reported the same refraction data
2	Four people reported the same refraction data
1	Five or more people reported the same refraction data