Review Assessment Report

Part 1: Contact & Program Identification

Report Year and Contact Information
Academic YearModified ByDate Modified
2020-2021[email protected]2021-11-11T21:53:17.413Z
SchoolName of ProgramCourses
MSEMathematical Sciences AS DegreePHYS 1320,PHYS 1310,CHEM 1215,CHEM 1215L,MATH 2530,MATH 1520,MATH 1510

Part 2: Program Summary

Provide a high level review of the program to include highlights, successes, challenges, significant changes, and significant resources needed to support the program
The Mathematical Sciences Degree continues to have good numbers of declared majors, meeting or exceeding 140 for AY2020/21 and the preceding two academic years. Annual average class retention rates were strong, exceeding 75%. The average class fill rate for AY2020/21 of 66% was good, but showed a drop of 11% from the previous year. The C-pass rate was over our target of 60% for all three years, with a slight increase in AY2019/20. The impacts of COVID are still affecting student learning, most reflected in a decrease in average class retention rates (-5%) and average class fill rates (-11%) from AY2019/20 to AY2020/21. Assessment of MATH 2530 – Calculus III yielded encouraging results, suggesting student strength in the degree’s Graduate Learning Outcome Demonstrate competency in the core concepts of multivariable and vector calculus which includes level curves and surfaces, partial derivatives, gradients, tangent planes, directional derivatives, multiple integrals, and cylindrical and spherical coordinates.

Part 3: Data Review

2018-20192019-20202020-2021
Annual number of graduate awards is greater than 10766544
Number of declared majors145149142
Average Class Size28.327.122.3
Annual Average Class withdrawal rate is 30% or below (SAGE 35%)20%23%25%
Annual C-Pass rate for coursework is 60% or above59%60%59%
Average class fill rate at 60% or above capacity within a term or over a year88%86%77%
Graduate Transfer to 4-year Schools47%48%n/a
Full-time Faculty Coverage by Section70%67%65%
Summarize how your program met or did not meet the target measures based on the data above
For the current (AY2020/21) and last two academic years, our annual number of graduate awards far exceeded the target of 10 (44 for AY2020/21) while the number of declared Mathematical Sciences Degree majors was approximately 145 each year. Average class size was 19 for AY 2020/21 (there was a decline of about 4 students per class when compared to the previous two years – presumably due to COVID). The annual average class retention rate exceeded 75% for the current and last two academic years and the average class fill rate was 65% or better during the same time period. While the annual C-pass rate for AY2019/20 was 67%, for the current academic year and AY2018/19 the C-pass rate was 63%, just meeting the target of 60%. The increase in the C-pass rate for AY2019/20 may have been the result of classes being pushed suddenly online in the spring of 2020 due to COVID without proctoring software available across the board for the final exam.

Part 4: Program Learning Outcome Analysis

Learning OutcomePopulation or Course(s) AssessedDescriptionSummary of Assessment Results
Demonstrate Competency in the core concepts of multivariable and vector calculus which includes level curves and surfaces, partial derivatives, gradients, tangent planes, directional derivatives, multiple integrals, and cylindrical and spherical coordinates.
MATH 2710
    Interpretation of Assessment findings
    MATH 2530 – Calculus III was assessed during AY2020/21 through the use of three assessment questions embedded in the final exam. Each question was scored on the scale {0, 1, 2, 3} with rubric 0 = “Not answered or non-mathematical ‘attempt’”; 1 = “Mathematical attempt but major conceptual or calculational error”; 2 = “Mathematical attempt with minor conceptual or calculational error”; 3 = “correctly answered”. All three assessment questions had mean rubric scores exceeding the target of 2.00, indicating student success in the following MATH 2530 course-level student learning outcomes: determine the dot product of two given vectors (mean 2.68), compute the double integral of a function bounded between two curves (mean 2.12), and compute the gradient vector of a given function (mean 2.65). Student success in these learning outcomes is strong supporting evidence of achievement in the Mathematical Sciences Degree Graduate Learning Outcome.

    Part 5: Additional Action Plan in Support of Student Learning (If Appropriate)

    Upcoming YearChanges Planned for the upcoming yearData Motivating this change
    2021-2022
    Assessment of MATH 1510 – Calculus I will be a combination of proctored work from courses taught face-to-face and online. Our rubric scale {0, 1, 2, 3} considers the correctness of the mathematical steps taken to reach an answer and not just the final answer. Currently, online sections of Math 1510 are using Respondus Lockdown Browser + Respondus Monitor as their proctoring software with student work submitted electronically. It is believed that scores across face-to-face and online sections will be comparable given that written work is still collected for online courses. However, the formats for exam delivery may need to be taken into consideration when reviewing assessment results for Math 1510.
    New implementation of Respondus Lockdown Browser + Respondus Monitor in higher level math courses that had not been extensively offered online in the past.
    2021-2022
    2021-2022
    Please select all of the following that characterize the types of changes described in the above action plan
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