Correlation of Basic Medical Laboratory Activities Performance with Grade Point Average of First-year Medical Students: Insights from New Medical School in Bekasi

Ridwansyah Ridwansyah, Phenny Pariury, Riyan Sopiyan, Siti Munawaroh

Abstract

Introduction: The surge in medical schools in Indonesia necessitates continuous quality improvement, particularly in curriculum and assessment. This study examines the correlation between first-year medical students' performance in basic medical science laboratory activities and their Grade Point Average (GPA).

Methods: A retrospective observational study was conducted using secondary data from a new Medical School in Bekasi, Indonesia. student performance was reflected through the average final laboratory scores in the first year, while the GPA encompasses both medical and non-medical courses, totaling 21 credit hours. Data were collected from the university's information system database. Pearson's correlation test was used for normally distributed data, while Spearman's test was applied for non-normally distributed data.

Results: The study included 27 first-year medical students with complete laboratory activity scores and GPA from the first two semesters. Significant positive correlations were found between laboratory performance in all subjects and GPA: Anatomy (R = 0.789, p < 0.0001), Histology (R = 0.7810, p < 0.0001), Microbiology (R = 0.6781, p = 0.0001), and Anatomical Pathology (R = 0.7024, p < 0.0001). These results highlight a strong correlation between laboratory performance and GPA in new medical school in Bekasi.

Conclusion: This study emphasizes the importance of laboratory-based experiential learning in enhancing academic achievement among first-year medical students. Despite some limitations of this study, future research should explore the additional factors and include more medical schools to better understand the impact of laboratory performance on academic success.

Keywords

basic medical science; grade point average; laboratory; medical school; student performance

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References

  1. Schneiderhan J, Guetterman TC, Dobson ML. Curriculum development: a how to primer. Fam Med Community Health. 2019;7(2):e000046. https://doi.org/10.1136/fmch-2018-000046
  2. Quirk M, Chumley H. The adaptive medical curriculum: A model for continuous improvement. Med Teach. 2018;40(8):786-790. https://doi.org/10.1080/0142159X.2018.1484896
  3. Challa KT, Sayed A, Acharya Y. Modern techniques of teaching and learning in medical education: a descriptive literature review. MedEdPublish. 2021;10(1). https://doi.org/10.15694/mep.2021.000018.1
  4. Thomas RE. Problem‐based learning: measurable outcomes. Med Educ. 1997;31(5):320-329. https://doi.org/10.1046/j.1365-2923.1997.00671.x
  5. Satti MZ, Khan TM, Qurat-ul-ain Q ul ain, et al. Association of Physical Activity and Sleep Quality with Academic Performance Among Fourth-year MBBS Students of Rawalpindi Medical University. Cureus. Published online July 6, 2019. https://doi.org/10.7759/cureus.5086
  6. Liu H, Mi XF, Huang ZZ, Heng BC, Shen WL. Challenges and strategies in developing team-based learning in Chinese medical education. Med Teach. 2020;42(11):1243-1249. https://doi.org/10.1080/0142159X.2020.1801995
  7. Abdulwahed M, Nagy ZK, Blanchard RE. Beyond The Classroom Walls: Remote Labs, Authentic Experimentation with Theory Lectures.; 2008. https://hdl.handle.net/2134/4938.
  8. Norouzi A, Ahmadi F, Bigdeli S, Soltani Arabshahi SK. The Experiences of Faculty Members and Medical Students of Basic Medical Sciences of Characteristics of a Competent Professor: A Qualitative Study. Med J Islam Repub Iran. Published online March 20, 2023. https://doi.org/10.47176/mjiri.37.78
  9. Church FC. Active Learning: Basic Science Workshops, Clinical Science Cases, and Medical Role-Playing in an Undergraduate Biology Course. Educ Sci (Basel). 2021;11(8):370. https://doi.org/10.3390/educsci11080370
  10. DeFranco DB, Sowa G. The Importance of Basic Science and Research Training for the Next Generation of Physicians and Physician Scientists. Molecular Endocrinology. 2014;28(12):1919-1921. https://doi.org/10.1210/me.2014-1343
  11. Valli Jayanthi S, Balakrishnan S, Lim Siok Ching A, Aaqilah Abdul Latiff N, Nasirudeen AMA. Factors Contributing to Academic Performance of Students in a Tertiary Institution in Singapore. Am J Educ Res. 2014;2(9):752-758. https://doi.org/10.12691/education-2-9-8
  12. Bianco LJ. The Impact of Lab Delivery Method on Student Achievement, Transfer of Learning, and Self-Perception in an Anatomy and Physiology Course.; 2022.
  13. Daka H, Changwe R. An Exploration of Education Quality in the Light of the Grade Point Average and Examination Attrition Rate. International Journal of Humanities, Social Sciences and Education. 2020;7(6). https://doi.org/10.20431/2349-0381.0706021
  14. Lee SWY, Lai YC, Alex Yu HT, Lin YTK. Impact of biology laboratory courses on students’ science performance and views about laboratory courses in general: innovative measurements and analyses. J Biol Educ. 2012;46(3):173-179. https://doi.org/10.1080/00219266.2011.634017
  15. Finn K, Fitzpatrick K, Yan Z. Integrating Lecture and Laboratory in Health Sciences Courses Improves Student Satisfaction and Performance. Vol 47.
  16. Hagan EA, Jaffe BM. Effect of Curriculum Changes on Student Performance During General Surgical Clerkship. J Surg Educ. 2018;75(3):622-627. https://doi.org/10.1016/j.jsurg.2017.08.020
  17. Doxtater J, Cruz C, Cruz J. Quality of Life and Its Influence on the Academic Performance of Medical Laboratory Students in Wyoming. American Society for Clinical Laboratory Science. 2019;32(3):122-130. https://doi.org/10.29074/ascls.2019001909
  18. Bissell MG. Educating Medical Students in Laboratory Medicine: A Proposed Curriculum. Yearbook of Pathology and Laboratory Medicine. 2011;2011:239-240. https://doi.org/10.1016/S1077-9108(10)79496-2
  19. Taylor DJ, Vatthauer KE, Bramoweth AD, Ruggero C, Roane B. The Role of Sleep in Predicting College Academic Performance: Is it a Unique Predictor? Behavioral Sleep Medicine. 2013;11(3):159-172. https://doi.org/10.1080/15402002.2011.602776
  20. Brecht AA, Burnett DD. Advising Student-Athletes for Success: Predicting the Academic Success and Persistence of Collegiate Student-Athletes. NACADA Journal. 2019;39(1):49-59. https://doi.org/10.12930/NACADA-17-044
  21. Setiawan R, Aprillia A, Magdalena N. Analysis of antecedent factors in academic achievement and student retention. Asian Association of Open Universities Journal. 2020;15(1):37-47. https://doi.org/10.1108/AAOUJ-09-2019-0043
  22. Zhao L, Chen K, Song J, et al. Academic Performance Prediction Based on Multisource, Multifeature Behavioral Data. IEEE Access. 2021;9:5453-5465. https://doi.org/10.1109/ACCESS.2020.3002791

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