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Of course when we include the ability of instructors to excuse an individual student from an individual item, we discover that P can vary on a student-by-student basis, as shown below:

Fig. 1

Student

Item 1

Item 2

Item 3

Item 4

Extra Credit Item

S

E

P

% score

Joe

20

20

20

excused

10

60

10

75

(60+10)/75 = 93.33%

Melody

20

20

20

20

10

80

10

100

(80+10)/100 = 90.00%

...

So under this case, we have the same basic calculation as above, but if we add a student who only completed the extra credit item, we get another non-intuitive case:

Fig. 2

Student

Item 1

Item 2

Item 3

Item 4

Extra Credit Item

S

E

P

% score

Joe

20

20

20

excused

10

60

10

75

(60+10)/75 = 93.33%

Melody

20

20

20

20

10

80

10

100

(80+10)/100 = 90.00%

Francis

-

-

-

-

10

0

10

0

-

...

Note
Alternative Points-Based Extra Credit Calculation

One way that we could conceivably implement the extra credit calculation would be to revise the calculation above by introducing an additional variable

Q = sum of all non-extra credit points possible for scored and unscored items

We would then revise the equation as follows:

% score = S/P + E/Q

In this case, our example above would look like this:

Fig 3.

Student

Item 1

Item 2

Item 3

Item 4

Extra Credit Item

S

E

P

Q

% score

Joe

20

20

20

excused

10

60

10

75

100

60/75 + 10/100 = 90.00%

Melody

20

20

20

20

10

80

10

100

100

80/100 + 10/100 = 90.00%

Francis

-

-

-

-

10

0

10

0

100

0/0 + 10/100 = 10.00%

Dela

10

-

-

-

10

10

10

20

100

10/20 + 10/100 = 60.00%

The obvious disadvantage of this strategy is that instructors would not see extra credit points being awarded in the most straightforward common-sense way for students with excused items... so in Dela's case, even though she has been given 10 extra points, giving her 20 out of 20 points for the gradebook, she only receives a 60%, rather than a 100%.

...

So in the table below, the hyphen indicates unscored items, and otherwise a weight is provided to indicate the course grade weight that item will contribute:

Fig. 4

Student

Item 1.1

Item 1.2

Item 1.3

Item 1.4

Extra Credit Item

Item 2.1

Item 2.2

Item 2.3

Joe

15%

15%

15%

15%

6%

16%

12%

12%

Melody

20%

20%

20%

-

6%

-

20%

20%

Francis

60%

-

-

-

6%

40%

-

-

Roderick

100%

-

-

-

6%

-

-

-

...

So, if we were to calculate the "Category 1" grade for Joe, we first need to examine the desired category weights for each item, as in the table below:

Fig. 5

 

Item 1.1

Item 1.2

Item 1.3

Item 1.4

Extra Credit Item

Percent of Category

25%

25%

25%

25%

10%

...