Research Article
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Year 2020, Volume: 42 Issue: 3, 351 - 358, 27.10.2020
https://doi.org/10.7197/cmj.vi.680691

Abstract

References

  • 1. Samsel RW, Schmidt GA, Hall JB, Wood LD, Shroff SG, Schumacker PT. Cardiovascular physiology teaching: computer simulations vs. animal demonstrations. Adv Physiol Educ. 1994; 266(6): S36-S46.
  • 2. FitzPatrick KA. An investigative laboratory course in human physiology using computer technology and collaborative writing. Adv Physiol Educ 2004; 28(3): 112-119.
  • 3. Lewis MJ. Computer-assisted learning for teaching anatomy and physiology in subjects allied to medicine. Med Teach. 2003; 25(2): 204-207.
  • 4. Rawson RE, Quinlan KM. Evaluation of a computer-based approach to teaching acid/base physiology. Adv Physiol Educ. 2002; 26(2): 85-97.
  • 5. Kittnar O, Vavrova M, Trojan S. Computer-aided physiology (teaching, learning and research). Physiol Res. 1991; 40(5): 549-553.
  • 6. Farrell AP, Bruce F. Data acquisition and analysis of pulsatile signals using a personal computer: an application in cardiovascular physiology. Comput Biol Med. 1987; 17(3): 151-159.
  • 7. George S. Data acquisition and display for electrophysiology: PC oscilloscopes. J Undergrad Nuerosci Educ. 2006; 5(1): R11-R14.
  • 8. Penhaker M, Kijonka J. Audiometry for Teaching Experiment in PowerLab Systems. In Electrical Power Systems and Computers 2011 (pp. 831-838). Springer, Berlin, Heidelberg.
  • 9. Marsden SP, Boddy IJS, Strachan RD, Chambers IR. In-house development of a dedicated data acquisition and monitoring system for intracranial pressure, patient posture and patient symptoms in a regional neurosciences centre. Physiol Meas 2016; 37(2): N1.
  • 10. Stone DN, Dujardin JP. Efficient use of a digital oscilloscope-computer combination in the physiology laboratory. Comput Biol Med. 1982; 12(2): 143-147.
  • 11. McAteer E, Neil D, Barr N, Brown M, Draper S, Henderson F. Simulation software in a life sciences practical laboratory. Comput Educ, 1996; 26(1-3): 101-112.
  • 12. Young SS. Computerized data acquisition and analysis for the life sciences: a hands-on guide. 1st ed. New York, USA: Cambridge University Press; 2001.
  • 13. Simonetta G, Aziz N, Forrester K. Recent developments in data recording systems for Physiology. Pak J Physiol, 2006; 2(1): 34-37.

PowerLab system enhances Physiology experimentation and learning in pre-clinical medical students

Year 2020, Volume: 42 Issue: 3, 351 - 358, 27.10.2020
https://doi.org/10.7197/cmj.vi.680691

Abstract

Objective: Data acquisition systems (DAQ) such as PowerLab system find wide applications in teaching and research. The aim of this study is to evaluate how the use of PowerLab system enhances physiology experimentation and learning in pre-clinical medical students.
Methods: This study was carried out among 55 pre-clinical medical students of Nile University of Nigeria, Abuja. A pre-tested self-administered questionnaire was used to investigate their awareness and perceptions on the use of PowerLab system in teaching and conducting Physiology experiments. The data were entered and analyzed using Microsoft Excel version 2016 for Windows. Frequency distribution and summary statistics were analyzed by descriptive analysis.
Results: Fifty-five (n=55) out of 90 pre-clinical students participated in this study, with an overall response rate of 61.1%. Fifteen (27.3%) respondents were males and 40 (72.7%) were females, with a mean age of 18.5 years. More than 90% (≥50) of the respondents agreed to be aware of PowerLab system, and that it has been used to teach and demonstrate several experiments to them. On the perceptions of respondents to the use of the system; majority affirmed that it enhanced their understanding of the experiments (n=43; 78%), stimulated imagination and critical thinking skills (n=35; 64%) and helped them learn physiological concepts better than conventional methods (n=47; 86%).
Conclusion: The use and application of computer-based data acquisition devices such as PowerLab system provide students with hands-on and state of the art exposure to current research trends in medical sciences and are now indispensable tools for medical education.

References

  • 1. Samsel RW, Schmidt GA, Hall JB, Wood LD, Shroff SG, Schumacker PT. Cardiovascular physiology teaching: computer simulations vs. animal demonstrations. Adv Physiol Educ. 1994; 266(6): S36-S46.
  • 2. FitzPatrick KA. An investigative laboratory course in human physiology using computer technology and collaborative writing. Adv Physiol Educ 2004; 28(3): 112-119.
  • 3. Lewis MJ. Computer-assisted learning for teaching anatomy and physiology in subjects allied to medicine. Med Teach. 2003; 25(2): 204-207.
  • 4. Rawson RE, Quinlan KM. Evaluation of a computer-based approach to teaching acid/base physiology. Adv Physiol Educ. 2002; 26(2): 85-97.
  • 5. Kittnar O, Vavrova M, Trojan S. Computer-aided physiology (teaching, learning and research). Physiol Res. 1991; 40(5): 549-553.
  • 6. Farrell AP, Bruce F. Data acquisition and analysis of pulsatile signals using a personal computer: an application in cardiovascular physiology. Comput Biol Med. 1987; 17(3): 151-159.
  • 7. George S. Data acquisition and display for electrophysiology: PC oscilloscopes. J Undergrad Nuerosci Educ. 2006; 5(1): R11-R14.
  • 8. Penhaker M, Kijonka J. Audiometry for Teaching Experiment in PowerLab Systems. In Electrical Power Systems and Computers 2011 (pp. 831-838). Springer, Berlin, Heidelberg.
  • 9. Marsden SP, Boddy IJS, Strachan RD, Chambers IR. In-house development of a dedicated data acquisition and monitoring system for intracranial pressure, patient posture and patient symptoms in a regional neurosciences centre. Physiol Meas 2016; 37(2): N1.
  • 10. Stone DN, Dujardin JP. Efficient use of a digital oscilloscope-computer combination in the physiology laboratory. Comput Biol Med. 1982; 12(2): 143-147.
  • 11. McAteer E, Neil D, Barr N, Brown M, Draper S, Henderson F. Simulation software in a life sciences practical laboratory. Comput Educ, 1996; 26(1-3): 101-112.
  • 12. Young SS. Computerized data acquisition and analysis for the life sciences: a hands-on guide. 1st ed. New York, USA: Cambridge University Press; 2001.
  • 13. Simonetta G, Aziz N, Forrester K. Recent developments in data recording systems for Physiology. Pak J Physiol, 2006; 2(1): 34-37.
There are 13 citations in total.

Details

Primary Language English
Subjects Health Care Administration
Journal Section Medical Science Research Articles
Authors

Oluwatosin Oyeniran 0000-0001-6720-8453

Terkuma Chıa 0000-0002-3257-459X

Publication Date October 27, 2020
Acceptance Date October 27, 2020
Published in Issue Year 2020Volume: 42 Issue: 3

Cite

AMA Oyeniran O, Chıa T. PowerLab system enhances Physiology experimentation and learning in pre-clinical medical students. CMJ. October 2020;42(3):351-358. doi:10.7197/cmj.vi.680691