Addendum C: Grading Scale and Point Distribution

This addendum provides the complete grading structure for CAI1001C: AI Thinking for Educators. The course spans eight chapters, each contributing equally to a total of 240 points.

1Per-Chapter Point Breakdown¶

Each of the eight chapters contains four graded components totaling 30 points per chapter.

Component	Points per Chapter
Case Study & Discussion Board	2
10-Question Knowledge Check	8
Hands-On Lab	10
In-Class Assignment	10
Chapter Total	30

1.1Full Point Summary — All 8 Chapters¶

Chapter	Discussion Board	Knowledge Check	Hands-On Lab	In-Class Assignment	Chapter Total
Chapter 1	2	8	10	10	30
Chapter 2	2	8	10	10	30
Chapter 3	2	8	10	10	30
Chapter 4	2	8	10	10	30
Chapter 5	2	8	10	10	30
Chapter 6	2	8	10	10	30
Chapter 7	2	8	10	10	30
Chapter 8	2	8	10	10	30
Totals	16	64	80	80	240

2Letter Grade Scale¶

Final letter grades are assigned based on total points earned out of 240.

Letter Grade	Points Earned	Percentage
A	216 – 240	90 – 100%
B	192 – 215	80 – 89%
C	168 – 191	70 – 79%
D	144 – 167	60 – 69%
F	Below 144	Below 60%

3Component Weight Across the Course¶

The table below shows how each assignment type contributes to the overall 240-point total.

Component Type	Chapters	Points Each	Total Points	% of Final Grade
Case Study & Discussion Board	8	2	16	6.7%
10-Question Knowledge Check	8	8	64	26.7%
Hands-On Lab	8	10	80	33.3%
In-Class Assignment	8	10	80	33.3%
Course Total			240	100%

4Final Grade Computation¶

Students are encouraged to track their cumulative points throughout the semester using the per-chapter breakdown in this addendum.

5Late Work Policy¶

This grading scale applies to CAI1001C as structured in this edition of AI Thinking for Educators. Instructors adapting this course for their institution should adjust point totals and grade thresholds to align with local grading policies.