全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

Effect of an eLearning Intervention on Undergraduate Health Professional Student’s General Histology and Embryology Summative Examination Scores

DOI: 10.4236/oalib.1106230, PP. 1-13

Subject Areas: Anatomy & Physiology

Keywords: eLearning, Interaction Equivalency Theorem, Bayesian Multilevel Modelling

Full-Text   Cite this paper   Add to My Lib

Abstract

Sub-Saharan Africa has the worst global shortage of health professionals. The use of eLearning interventions, that lead to increased interactions according to the Interaction Equivalency theorem, is a potential means of addressing this shortage of health professionals. In this audit we set out to determine the effect of an eLearning general histology and general embryology intervention on student’s summative examination scores. The audit compared the written and practical summative examination scores of three sets of student examinations one of which had a five-week eLearning intervention. Two of the examinations were for the same students in one year but different courses while the other two were for students doing the same subject but in different years. In each of the above pair of examinations there was one group from the course that had the eLearning intervention. A Bayesian multilevel regression modelling approach was used to analyse the student scores. The course with the online eLearning intervention had significantly better scores (p-value < 0.01), than the course on a different subject offered at the same time to the same students without the intervention and the same course with students from the previous academic year. On controlling for other factors, the eLearning intervention led to higher examination scores though this was not significant. Student’s nationality, sponsorship and program significantly affected the examination scores, controlling for other factors. Overall the students in the course with the online eLearning intervention had significantly better examination scores.The student’s nationality, sponsorship and program significantly affect their examination scores. Future, larger and or qualitative studies, are needed to further explore the effect of these factors on student’s examination scores.

Cite this paper

Munabi, I. G. , Mwaka, E. S. , Kirum, G. G. , Kirwowa, H. , Mubuuke, A. G. , Kiguli, S. and Buwembo, W. (2020). Effect of an eLearning Intervention on Undergraduate Health Professional Student’s General Histology and Embryology Summative Examination Scores. Open Access Library Journal, 7, e6230. doi: http://dx.doi.org/10.4236/oalib.1106230.

References

[1]  Kilmarx, P.H., Katz, F., Razak, M.H., Palen, J., Cheever, L.W. and Glass, R.I. (2019) The Medical Education Partnership Initiative: Strengthening Human Resources to End Aids and Improve Health in Africa. Academic Medicine, 94, 1704-1713. https://doi.org/10.1097/ACM.0000000000002489
[2]  Galukande, M., Maling, S., Kabakyenga, J., Nshaho, J., Oboke, H., Oonge, B., Muyenje, H., Katumba-Sentongo, G., Mayanja-Kizza, H. and Sewankambo, N.K. (2018) Equitable Access to Health Professional Training in Uganda: A Cross Sectional Study. Annals of Global Health, 84, 91-99. https://doi.org/10.29024/aogh.7
[3]  Bradley, S. and McAuliffe, E. (2009) Mid-Level Providers in Emergency Obstetric and Newborn Health Care: Factors Affecting Their Performance and Retention within the Malawian Health System. Human Resources for Health, 7, 14. https://doi.org/10.1186/1478-4491-7-14
[4]  Ndolo, D.O., Wach, M., Rudelsheim, P. and Craig, W. (2018) A Curriculum-Based Approach to Teaching Biosafety through Elearning. Frontiers in Bioengineering and Biotechnology, 6, 42. https://doi.org/10.3389/fbioe.2018.00042
[5]  Omaswa, F., Kiguli-Malwadde, E., Donkor, P., Hakim, J., Derbew, M., Baird, S., Frehywot, S., Gachuno, O.W., Kamiza, S., Kibwage, I.O., Mteta Kien, A., Mulla, Y., Mullan, F., Nachega, J.B., Nkomazana, O., Noormohamed, E., Ojoome, V., Olalaye, D., Pillay, S., Sewankambo, N.K. and De Villiers, M. (2018) The Medical Education Partnership Initiative MEPI, Innovations and Lessons for Health Professions Training and Research in Africa. Annals of Global Health, 84, 160-169. https://doi.org/10.29024/aogh.8
[6]  Dunleavy, G., Nikolaou, C.K., Nifakos, S., Atun, R., Law, G.C.Y. and Tudor, C.L. (2019) Mobile Digital Education for Health Professions: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration. Journal of Medical Internet Research, 21, e12937. https://doi.org/10.2196/12937
[7]  Rhode, J. (2009) Interaction Equivalency in Self-Paced Online Learning Environments: An Exploration of Learner Preferences. The International Review of Research in Open and Distributed Learning, 10, 1-23. https://doi.org/10.19173/irrodl.v10i1.603
[8]  Anderson, T. (2003) Getting the Mix Right Again: An Updated and Theoretical Rationale for Interaction. The International Review of Research in Open and Distributed Learning, 4, 9-14. https://doi.org/10.19173/irrodl.v4i2.149
[9]  Miyazoe, T. and Anderson, T. (2014) The Interaction Equivalency Theorem. Distance Education in China, 3, 3.
[10]  Gray, R. (2019) Meaningful Interaction: Toward a New Theoretical Approach to Online Instruction. Technology, Pedagogy and Education, 28, 473-484. https://doi.org/10.1080/1475939X.2019.1635519
[11]  Mwaka, E.S., Kukiriza, J., Mwesigwa, C., Munabi, I.G., Buwembo, W., Kirum, G., Kyamanawa, I., Okello, M., Kiryowa, H. and Tumusiime, G. (2016) Mandatory Anatomy Dissection, Effect on Examination Performance. Anatomy Journal of Africa, 5, 727-734.
[12]  Team RC (2019) R-Version 3.6.2: A Language and Environment for Statistical Computing. https://www.R-project.org
[13]  Bürkner, P.-C. (2018) Advanced Bayesian Multilevel Modeling with the R Package Brms. The R Journal, 10, 395-411. https://doi.org/10.32614/RJ-2018-017
[14]  Bürkner, P.-C. (2017) Brms: An R Package for Bayesian Multilevel Models Using Stan. Journal of Statistical Software, 80, 1-28. https://doi.org/10.18637/jss.v080.i01
[15]  Wickham, H. and Bryan, J. (2019) Readxl: Read Excel Files R Package Version 1.3.1. https://CRAN.R-project.org/package=readxl
[16]  Wickham, H. and Henry, L. (2020) Tidyr: Tidy Messy Data R Package Version 1.0.2. https://CRAN.R-project.org/package=tidyr
[17]  Wickham, H., François, R., Henry, L. and Müller, K. (2020) Dplyr: A Grammar of Data Manipulation. R Package Version 0.8.4. https://CRAN.R-project.org/package=dplyr
[18]  Revelle, W. (2019) Psych: Procedures for Psychological, Psychometric, and Personality Research R Package Version 1.9.12. Northwestern University, Evanston. https://CRAN.R-project.org/package=psych
[19]  Comtois, D. (2019) Summary Tools: Tools to Quickly and Neatly Summarize Data R Package Version 0.9.4. https://CRAN.R-project.org/package=summarytools
[20]  Miyazoe, T. and Anderson, T. (2015) Interaction Equivalency in the OER and Informal Learning Era. European Journal of Open, Distance and E-Learning, 18, 25-36.
[21]  Koo, T.K. and Li, M.Y. (2016) A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. Journal of Chiropractic Medicine, 15, 155-163. https://doi.org/10.1016/j.jcm.2016.02.012

Full-Text


comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413