STEM vs. Non-STEM Course Performance During COVID Remote Learning in Higher Education Kelly Smith and Amanda Goodrick Slippery Rock University INTRODUCTION Objectives • Investigate how student performance was affected during the stages of COVID remote learning. • Determine if the effects were similar for STEM courses and Non-STEM courses at the 300 level Data • Fall 2019 – Spring 2021 • 300 level classes from various departments (see methodology for full list) • 4000 rows of data • 531 Different Courses • Variables o Semester o Course ID o Course Subject o Course Number o Final Grade o Student Count o Instruction Method o Instructional Method Description Assumptions • Courses unchanged over time except for instructional mode • Grades BLANK, F, I, IN, NC, WL, X. • means unsuccessful completion of the course • Outcomes were unaffected by o Course instructor o Class size METHODOLOGY Political Science Homeland Security Psychology Computer Science Cognitive Science & Leadership Communication Interdisciplinary Programs Safety Management Cybersecurity Criminology & Criminal Justice Japanese Secondary Education/Foundations of Education Environmental Geoscience Corporate Security Management Spanish Dance Marketing Special Education Economics Military Science Sport Management English Music Theatre Finance Philanthropy, Nonprofit, Leadership & Public Administration Engineering Exercise Science & Rehabilitation Science Geography/Environmental Science Health Care Administration & Management Managemen t Information Systems Nursing Parks & Conservatio n Physics Petroleum/N atural Gas Engineering Recreationa l Therapy Social Work 0.60 0.50 0.40 0.30 0.20 0.10 0.00 Percent Chemistry Mathematic s Percent Biology A B P C D P and 𝑛1 + 𝑛2 + 1 C D F Mean Std.Dev. 0.60 0.50 0.40 0.30 0.20 0.10 0.00 F A B P C A B Letter Grade P C D F Letter Grade D F Spring 2020 STEM Spring 2020 Non-STEM Statistics 0.60 0.50 0.40 0.30 0.20 0.10 0.00 Percent Business History Philosophy B Fall 2019 STEM A B Health Science/Public Health P C D Mean Std. Dev. 0.60 0.50 0.40 0.30 0.20 0.10 0.00 B P C D F A Letter Grade Letter Grade B • Data cleaning o Grades coded as 0 due to unsuccessful course completion: BLANK, F, I, IN, NC, WL, X. o Coded grades • P = 2.1 to be coded uniquely since passing grade is at least a C. There was not enough information to say this grade was anything higher than a C. Fall 2020 STEM Fall 2020 Non-STEM 0.60 0.50 0.40 0.30 0.20 0.10 0.00 A B P C D F C D F Mean Std.Dev. A 4 B 3 P 2.1 C 2 D 1 F 0 • Removed variables after classification into STEM and NonSTEM: o Course ID o Course Subject o Course Number o Instruction Method o Instructional Method Description • Restructured data o Separated data by semester o Created a count variable which was the total number of each letter grade over each semester broken into STEM and Non-STEM o Computed relative frequency variable for each semester for STEM and Non-STEM o New data set contained letter grades, counts for each semester broken into STEM and Non-STEM, and Relative Frequencies for each grade for each semester broken into STEM and Non-STEM. Increase Increase B Decrease Decrease Decrease P Increase Decrease Decrease C Decrease Decrease Equal D Decrease Equal Equal F Increase Increase Increase Spring 2020 Fall 2020 Spring 2021 A Equal Equal Increase B Decrease Equal Decrease P Increase N/A N/A C Decrease Equal Decrease Fall 2019 Fall 2019 Non-STEM STEM Reject? p-value n=6430 n=2454 52.29% 55.09% Yes 0.0088 3362 1352 28.26% 27.18% No 0.3114 1817 667 2.21% 0% Yes 0 142 0 10.68% 9.90% No 0.2816 687 243 2.53% 2.61% No 0.8454 163 64 4.03% 5.22% Yes 0.0071 259 128 Two Sample t-test equal variances 𝑯𝟎 : 𝝁𝟏 = 𝝁𝟐 3.22 3.24 No 0.4511 1.03 1.08 D Decrease Equal Equal Spring 2020 Spring 2020 Non-STEM STEM Reject? p-value n=6104 n=2651 58.85% 56.92% No 0.7764 3529 1509 22.80% 22.41% No 0.4087 1392 594 5.55% 3.62% Yes 0 339 96 7.40% 6.26% No 0.0550 452 166 0.39% 0.34% No 0.7064 24 9 6.03% 10.45% Yes 0 368 277 Two Sample t-test equal variances 𝑯𝟎 : 𝝁𝟏 = 𝝁𝟐 3.27 3.15 Yes 0 1.09 1.26 Conclusion NS < S Equal NS > S Equal Equal NS < S Equal Average Equal proportions of B, C, and D. STEM had more A and F while Non-STEM had more P. STEM and NonSTEM have Equal average grades in Fall 2019. F Increase Equal Increase In Spring 2020, STEM students earned more P and F, fewer B, C, and D, and equal portion of A than in Fall 2019. In Fall 2020, STEM students earned equal portions of A, B, C, D, and F as in Fall 2019. In Spring 2021, STEM students earned more A and F, fewer B and C than Fall 2019. Students earned equal portion of D. No P grades were earned in Stem courses in the Spring 2021 academic semester. All statistical conclusions were significant. LIMITATIONS Conclusion Equal Equal NS > S Equal Equal NS < S Equal proportions of A, B, C, and D. STEM had more F and NonSTEM had more P. STEM and Non-STEM have unequal average grades in Spring 2020. • Data was letter grades – more analysis could have been completed with quantitative percent grades, which are not accessible. • Unable to incorporate other confounding factors that may have influenced course grades such as student health and student circumstances. • Number of semesters available in data Unequal Average CONCLUSION B P C D Fall 2020 Fall 2020 Non-STEM STEM Reject? p-value n=6464 n=2285 55.45% 54.40% No 0.3869 3584 1243 25.05% 26.61% No 0.1407 1619 608 1.71% 0% Yes 0 111 0 9.53% 9.45% No 0.9144 616 216 2.48% 3.15% Yes 0.04199 160 72 5.79% 6.39% No 0.2942 374 146 Two Sample t-test equal variances 𝑯𝟎 : 𝝁𝟏 = 𝝁𝟐 3.22 3.19 No 0.3423 1.11 1.14 Conclusion Equal Equal NS > S Equal NS < S Equal Equal proportions of A, B, C, and F. STEM has more D. Non-STEM has more P. STEM and Non-STEM have Equal average grades in Fall 2020. average grades of 300-level STEM and Non-STEM courses are equal for Fall 2019, Fall 2020, and Spring 2021. This indicates that student grades in STEM courses were equivalent to student grades in Non-STEM courses in 300-level courses each of those three semesters, regardless of the modality of instruction. Additionally, the average grade was higher in NonSTEM courses than STEM courses during the Spring 2020 semester, Equal Average indicating that STEM students were impacted more than Non-STEM F Letter Grade Spring 2021 STEM Spring 2021 Non-STEM 0.60 0.50 0.40 0.30 0.20 0.10 0.00 Percent A Increase students during the semester that instruction switched from in-person to Percent Numerical Grade P 0.60 0.50 0.40 0.30 0.20 0.10 0.00 Letter Grade Letter Grade A The results of the two sample mean t-test for equal variances show that the A F Percent Art Hospitality and Tourism Management 𝑠𝑝 1ൗ𝑛1 +1ൗ𝑛2 where 𝑠𝑝 = Spring 2021 STEM with Fall 2019 as control A 𝑛1−1 𝑆12 + 𝑛2−1 𝑠22 𝑛1 +𝑛2 +1 Fall 2019 Non-STEM Percent Arabic STEM Physical & Health Education French o Test statistic 𝑡 = Fall 2020 𝑛1 +𝑛2 + 𝑛 𝑛1 2 • Two Sample t-test for means with equal variances assumed o 𝐻0: 𝜇1 = 𝜇2 with 𝛼 = 0.05 𝐻𝑎: 𝜇1 ≠ 𝜇2 𝑥ҧ 1−𝑥ҧ 2 Spring 2020 In Spring 2020, Non-STEM students earned more A, P, and F and fewer B, C, D than Fall 2019. In Fall 2020, Non-STEM students earned more A and F and fewer B, P and C than Fall 2019. In Spring 2021, Non-STEM students earned more A and F, fewer B and P than Fall 2019. Students earned equal portion of C and D. All statistical conclusions were significant. o Compare STEM and Non-STEM each semester o Compare STEM and compare Non-STEM across all semesters with Fall 2019 as control o Compare STEM and Non-STEM overall for all four semesters Percent Accounting 𝑝ො𝑝 1−𝑝ො𝑝 RESULTS AND DISCUSSION Industrial & Systems Engineering Non-STEM with Fall 2019 as control • Inferences for Two Population Proportions 𝐻0: 𝑝Ƹ1 = 𝑝Ƹ 2 o 𝐻𝑎 : 𝑝Ƹ1 ≠ 𝑝Ƹ 2 if 𝐻0 rejected, 𝐻𝑎: 𝑝Ƹ1 < 𝑝Ƹ 2 or 𝐻𝑎: 𝑝Ƹ 1 > 𝑝Ƹ 2 based on direction of sample proportions 𝑝ො1−𝑝ො2 (𝑥1+𝑥2) o Test statistic 𝑧 = , where 𝑝 Ƹ = with 𝛼 = 0.05 𝑝 1 1 df o Test for equal average grade for all STEM and Non-STEM comparisons • This project was IRB approved o Data was organized into STEM and Non-STEM courses based on Slippery Rock program guide. Non-STEM • Descriptive Analysis o Frequencies • Initial Frequencies per letter grade for each semester (STEM and NonSTEM) were investigated o Graphs • Bar graphs of each semester’s relative frequencies for STEM and NonSTEM o Cluster Graphs • Non-STEM and STEM each semester • Non-STEM courses by semester • STEM courses by semester. A B P C Letter Grade D F 0.60 0.50 0.40 0.30 0.20 0.10 0.00 A B P A B P C Letter Grade D F C D F Mean Std. Dev. Spring 2021 Spring 2021 Non-STEM STEM Reject? p-value n=6135 n=3032 55.40% 57.85% Yes 0.0132 3399 1754 24.50% 22.69% No 0.0562 1503 688 1.14% 0% Yes 0 70 0 10.17% 8.01% Yes 0 624 243 2.87% 2.51% No 0.3184 176 76 5.92% 8.94% Yes 0 363 271 Two Sample t-test equal variances 𝑯𝟎 : 𝝁𝟏 = 𝝁𝟐 3.21 3.18 No 0.2947 1.13 1.24 online. In general, students in both STEM and Non-STEM courses earned Conclusion NS < S Equal NS > S NS > S Equal NS < S Equal proportions of B and D. STEM has more A and F while Non-STEM has more P and C. STEM and Non-STEM have Equal average grades for Spring 2021. more A and F grades throughout online learning and fewer average grades than the last in-person semester of Fall 2019. Prior to COVID-remote learning and during the fully online learning, STEM and Non-STEM student grades were not significantly impacted in comparison to one another each semester. Overall, remote learning did not significantly impact the average grade distribution for STEM and Non-STEM courses except during the Equal Average semester of transitioning to online learning, where STEM grades were Fall 2019-Spring Fall 2019-Spring 2021 2021 Non-STEM STEM Reject? n=25133 n=10422 A 55.20% 56.21% No 13874 5858 B 25.19% 24.53% No 6331 2557 P 2.63% 0.92% Yes 662 96 C 9.47% 8.33% Yes 2379 868 D 2.08% 2.12% No 523 221 F 5.43% 7.89% Yes 1364 822 Two Sample t-test equal variances 𝑯𝟎 : 𝝁𝟏 = 𝝁𝟐 Mean 3.23 3.19 Yes Std.Dev. 1.09 1.19 p-value Conclusio n 0.0824 Equal 0.1939 Equal 0 NS > S 0 NS > S 0.8124 Equal 0 NS < S 0.0038 Unequal Average Overall, from Fall 2019 through Spring 2021, STEM students and Non-STEM students earned equal proportions of A, B, and D. Non-STEM students earned more P and C, and STEM students earned more F. Unequal average grades. more negatively impacted. FUTURE WORKS • • • • Compare pre-COVID online to during and post COVID online Same study comparing departments Investigate 100 and 200 level courses Investigate Graduate level courses