Open AccessTowards Improving Experimental Learning- Exploring Bernoulli’s Equation
Author(s) -
S. Chandrasekaran,
K. Rohit,
Lakshmi Priya Swaminathan,
Saravanan Poomalai
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1002.1291s419
Subject(s) - bernoulli's principle , computer science , value (mathematics) , course (navigation) , industrial engineering , machine learning , physics , engineering , astronomy , thermodynamics
This study illustrates through the verification of Bernoulli’s equation (as a case study experiment) about how analysis of the gap in experimental results when compared to its theoretical value based on the fundamental principles underlying a hypothesis should become a part of the experimental learning approach which is being adopted in teaching a course. For this experiment, even after making a thorough analysis, it is found difficult to exactly answer the gap in the experimental and theoretical values. Particularly, it is seen that the unaccounted loss is about 10%. Various assumptions adopted in arriving at the conclusions are also elaborated to get a clear picture on carrying out the analysis. This investigation effectuated deep interest among student in the course and also engrossed them to discover the reason for any unaccountable losses in the experiment other than the well identified losses.