SAUM Additional Online Case Studies & Appendices

Assessing Allegheny College’s introductory
calculus and precalculus courses
Appendix A

Ronald Harrell and Tamara Lakins
Allegheny College
December 30, 2003

Appendix A:  Details of student performance in Math A, Math 155/156, and subsequent courses, as of academic year 2001-2002.

Data on the effectiveness of Math A.  The distribution of grades received by students enrolled in Math A during the fall semesters from 1997 through 2000 is given in Table 1 below.  Only students in the Fall 1997 through Fall 2000 cohorts, respectively, are considered.   Grades of C or higher are considered successful grades, while grades at the level of C- or lower are considered unsuccessful.

Table 1.  Grades in Math A

 

Fall 97

Fall 98

Fall 99

Fall 00

Total number

82

86

102

89

Number with grade ≥ C

59 (72%)

60 (69.8%)

64 (62.7%)

63 (70.8%)


Tables 2-5 give the distribution of grades received by students who went on to take introductory chemistry (Chem 101), introductory computer science (CS 101), Math 155, or the research design and statistics course in the psychology department (Psych 206) at some point after passing Math A with a grade of C or higher during one of the fall semesters listed above.  Only the first attempt for each such course was considered; i.e., the grades of those students retaking any of these courses were eliminated from consideration. 

Table 2. Students from each fall cohort who later took Chem 101

Students with ≥ C in Math A

Fall 97

Fall 98

Fall 99

Fall 00

Total number later taking Chem 101

30 of 59

29 of 60

27 of 64

26 of 63

Number ≥ C in Chem 101

15 (50%)

16 (55.2%)

20 (74.1%)

23 (88.5%)

Table 3.  Students from each fall cohort who later took CS 101

Students with ≥ C in Math A

Fall 97

Fall 98

Fall 99

Fall 00

Total number later taking CS 101

7 of 59

11 of 60

7 of 64

4 of 63

Number ≥ C in CS 101

3 (42.9%)

5 (45.5%)

5 (71.4%)

3 (75%)

Table 4. Students from each fall cohort who later took Math 155

Students with ≥ C in Math A

Fall 97

Fall 98

Fall 99

Fall 00

Total number later taking Math 155

39 of 59

47 of 60

55 of 64

42 of 63

Number ≥ C in Math 155

22 (56.4%)

28 (59.6%)

35 (63.6%)

26 (61.9%)

Table 5. Students from each fall cohort who later took Psych 206

Students with ≥ C in Math A

Fall 97

Fall 98

Fall 99

Fall 00

Total number later taking Psych 206

18 of 59

9 of 60

17 of 64

10 of 63

Number ≥ C in Psych 206

14 (77.8%)

9 (100%)

14 (82.4%)

9 (90%)

 

Tables 6-9 compare the distribution of grades for students taking Chem 101, CS 101, Math 155, and Psych 206 with respect to whether they placed in Math A or below and took Math A or Math 155 before taking the course, or placed in Math A and did not take Math A before taking the course.  The Fall 1997 through Spring 01 semesters are considered, and the sample consists only of students in the Fall 1997, 1998, 1999, 2000 cohorts.  Only the first attempt for each such course is considered; i.e., the grades of those students retaking any of these courses were eliminated from consideration.

Table 6. Students taking Chem 101
 

Place ≤ Math A
Took Math A or 155

Place ≤ Math A
Did not take Math A

F97 Total number taking Chem 101

 

15

Number ≥ C in Chem 101

 

10 (66.7%)

S98 Total number taking Chem 101

28

 

Number ≥ C in Chem 101

12 (42.9%)

 

F98 Total number taking Chem 101

9

12

Number ≥ C in Chem 101

5 (55.5%)

6 (50%)

S99 Total number taking Chem 101

34

2

Number ≥ C in Chem 101

17 (50%)

0 (0%)

F99 Total number taking Chem 101

5

22

Number ≥ C in Chem 101

1 (20%)

16 (72.7%)

S00 Total number taking Chem 101

32

1

Number ≥ C in Chem 101

21 (65.6%)

1 (100%)

F00 Total number taking Chem 101

7

21

Number ≥ C in Chem 101

6 (85.7%)

15 (71.4%)

S01 Total number taking Chem 101

26

1

Number ≥ C in Chem 101

23 (88.5%)

1 (100%)

Table 7. Students taking CS 101
 

Place ≤ Math A
Took Math A or 155

Place ≤ Math A
Did not take Math A

F97 Total number taking CS 101

 

6

Number ≥ C in CS 101

 

5 (83.3%)

S98 Total number taking CS 101

2

2

Number ≥ C in CS 101

1 (50%)

1 (50%)

F98 Total number taking CS 101

5

3

Number ≥ C in CS 101

2 (40%)

1 (33.3%)

S99 Total number taking CS 101

12

 

Number ≥ C in CS 101

2 (16.7%)

 

F99 Total number taking CS 101

4

6

Number ≥ C in CS 101

2 (50%)

3 (50%)

S00 Total number taking CS 101

12

3

Number ≥ C in CS 101

6 (50%)

0 (0%)

F00 Total number taking CS 101

4

7

Number ≥ C in CS 101

2 (50%)

6 (85.7%)

S01 Total number taking CS 101

6

3

Number ≥ C in CS 101

4 (66.7%)

1 (33.3%)

Table 8. Students taking Math 155
 

Place ≤ Math A
Took Math A

Place ≤ Math A
Did not take Math A

F97 Total number taking Math 155

 

18

Number ≥ C in Math 155

 

12 (66.7%)

S98 Total number taking Math 155

40

2

Number ≥ C in Math 155

22 (55%)

0 (0%)

F98 Total number taking Math 155

3

22

Number ≥ C in Math 155

1 (33.3%)

12 (54.5%)

S99 Total number taking Math 155

55

5

Number ≥ C in Math 155

28 (50.9%)

3 (60%)

F99 Total number taking Math 155

10

30

Number ≥ C in Math 155

3 (30%)

18 (60%)

S00 Total number taking Math 155

63

2

Number ≥ C in Math 155

38 (60.3%)

2 (100%)

F00 Total number taking Math 155

16

22

Number ≥ C in Math 155

7 (43.8%)

15 (69.2%)

S01 Total number taking Math 155

44

6

Number ≥ C in Math 155

25 (56.9%)

5 (83.3%)

Table 9. Students taking Psych 206
 

Place ≤ Math A
Took Math A or Math 155

Place ≤ Math A
Did not take Math A

F97 Total number taking Psych 206

 

1

Number ≥ C in Psych 206

 

1 (100%)

S98 Total number taking Psych 206

3

 

Number ≥ C in Psych 206

0 (0%)

 

F98 Total number taking Psych 206

13

3

Number ≥ C in Psych 206

12 (92.3%)

2 (66.7%)

S99 Total number taking Psych 206

15

5

Number ≥ C in Psych 206

10 (66.7%)

3 (60%)

F99 Total number taking Psych 206

15

4

Number ≥ C in Psych 206

23 (80%)

3 (75%)

S00 Total number taking Psych 206

14

1

Number ≥ C in Psych 206

11 (78.6%)

1 (100%)

F00 Total number taking Psych 206

27

1

Number ≥ C in Psych 206

23 (85.2%)

0 (0%)

S01 Total number taking Psych 206

21

2

Number ≥ C in Psych 206

16 (76.2%)

2 (100%)


Data on the effectiveness of Math 155/156.Table 10 indicates the number of students taking Math 155 or Math 160 during the fall semesters from 1997 to 1999, who later went on to take Math 170 (Calculus II), either at Allegheny College or elsewhere.  Only students in the Fall 1997 through Fall 1999 cohorts, respectively, are considered.  Since students in the Fall 1998 and Fall 1999 cohorts were still attending Allegheny College when the data were examined, and because the last semester included in the data is the Spring 2001 semester, the numbers for these cohorts could be incomplete.

Table 10. Students going on to later take Calculus II at Allegheny College or elsewhere
 

Fall 97

Fall 98

Fall 99

Number enrolled in Math 155

23 of 99

18 of 107

11 of 104

Number enrolled in Math 160

79 of 141

91 of 152

78 of 153


The last table compares the grades of students who went on to take Math 170 at Allegheny College at some point after passing Math 155 or Math 160 with a grade of C or higher during one of the fall semesters listed above.  Only the first attempt for Math 170 was considered, and only those students in the respective cohorts were considered.

Table 11. Grades in Math 170 among students with = C in Math 155 or Math 160
 

Fall 97

Fall 98

Fall 99

Number starting in Math 155 with ≥ C in Math 170

10 of 22 (45.5%)

11 of 16 (68.8%)

8 of 9 (88.9%)

Number starting in Math 160 with ≥ C in Math 170

53 of 75 (70.7%)

61 of 85 (71.8%)

54 of 64 (84.4%)


Appendix B:  Detailed course descriptions and learning goals.

Math 110 (Elementary Mathematical Models) is an algebra-based elementary modeling course intended for students who need a mathematics course but who do not need calculus.  Linear, polynomial, exponential, and logarithmic functions are studied.  The emphasis is on real-world problems and models, and rates of change.  Algebra is reviewed as needed.  Upon completing the course, the student will be able to

  • work with functions and data represented graphically, numerically, analytically, and verbally;
  • use technology appropriately in mathematical problem solving, and recognize its limitations;
  • accurately perform algebraic manipulations; work with formulas;
  • communicate mathematical information in written form;
  • choose, implement, refine, and interpret appropriate mathematical models for various real-world problems.

Math 150 (Precalculus) is a traditional precalculus course intended solely for students who need extra preparation before attempting Math 160, the first course in the regular calculus sequence.  The mathematical concepts that are a prerequisite to the study of calculus (functions, domains, ranges, graphs, equations, and inequalities) are covered. Upon completing the course, the student will be able to

  • manipulate algebraic expressions easily;
  • work with polynomial and rational functions, including finding their values, graphing them, understanding their basic properties, and solving equations and inequalities;
  • work with trigonometric functions, including finding their values, graphing them, using trigonometric identities, understanding their basic properties, solving equations, and solving problems in triangle trigonometry;
  • work with exponential and logarithmic functions, including finding their values, graphing them, understanding their basic properties, and solving equations;
  • communicate mathematical information in written form.

The courses Math 157/158 (Calculus I and II for Social/Life Sciences) form a two-semester terminal calculus sequence that gives primarily a conceptual treatment of calculus and is less theoretical than the regular calculus sequence.  The intended audience is economics, biology, and environmental science students. 

Math 157 (Calculus I for Social/Life Sciences) is an introduction to the differential calculus of algebraic, logarithmic, and exponential functions.  The emphasis is on the concept of the derivative and its applications of calculus to the life and social sciences.  Precalculus topics are covered as needed.  Upon completing the course, the student will be able to

  • work with functions and data represented graphically, numerically, analytically, and verbally;
  • demonstrate an understanding of the concept of the limit of a function and the rules for showing the existence of and finding limits; 
  • demonstrate an understanding of the concept of the derivative of a function: the definition, as well its connection to the slope of  tangent lines and instantaneous rates;
  • accurately perform the algebraic and calculus computations associated with algebraic, logarithmic, and exponential functions;
  • communicate mathematical information in written form;
  • choose, implement, refine, and interpret appropriate mathematical models for various real-world problems.

Math 158 (Calculus II for Social/Life Sciences) is a continuation of the differential calculus begun in Math 157, and an introduction to integral calculus of one variable and the differential calculus of multivariable functions involving algebraic, logarithmic, and exponential expressions. Applications of these topics in the life and social sciences are considered.  Upon completing the course, the student will be able to

  • demonstrate how the derivative can be used to determine monotonicity, concavity, points of inflection, and maximums and minimums of functions;
  • demonstrate an understanding of the definite integral as representing area and accumulated change, antiderivatives, and the Fundamental Theorem of Calculus;
  • demonstrate familiarity with functions of several variables, partial differentiation and the information partial derivatives reveal about functions;
  • accurately perform the algebraic and calculus computations with functions of several variables that involve algebraic, logarithmic, and exponential expressions;
  • communicate mathematical information in written form;
  • choose, implement, refine, and interpret appropriate mathematical models for various real-world problems.