Improving Class Performance in STEM Using Pareto Technique

Authors

  • Alex Kalu Savannah State University, USA Author
    • George Tessema Savannah State University, (A Unit of the University System of Georgia) Author
      • Siemann Lin Savannah State University, (A Unit of the University System of Georgia) Author

        DOI:

        https://doi.org/10.31686/ijier.vol3.iss4.342

        Abstract

        This paper is a report on the application of a quality improvement technique commonly used in industries to the teaching and learning process in an engineering technology program. An instrument for assessing learning outcomes was designed to determine specific problems that inhibit learning in the program, and their frequencies of occurrence. Based on the data collected, Pareto method was used to determine the vital few, i.e., the few errors committed 80 percent of the time so that class overall performance can be greatly improved by giving deference to these few but most important problems, within limited time and resources. The study cited in this correspondence shows that when Pareto technique is well applied in a teaching/learning process, it results in an improvement of individual performances for an overwhelming majority of the class. This technique is suitable for all science, technology, engineering and mathematics (STEM) disciplines.

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        Author Biographies

        • Alex Kalu, Savannah State University, USA

          College of Sciences and Technology

        • George Tessema, Savannah State University, (A Unit of the University System of Georgia)

          College of Sciences and Technology

        • Siemann Lin, Savannah State University, (A Unit of the University System of Georgia)

          College of Sciences and Technology, 

        References

        Mears, Peter; Quality Control Techniques, McGraw-Hill, 1994

        Besterfield, Dale H.; Quality Improvement, 9th Edition, Prentice Hall, 2012

        Lebold, W. K.; Intellectual and Non-intellectual Factors Involved in Predicting Engineering

        Success, Journal of Engineering Education, No. 7, 1958

        Kalu, A. and S. A. Chukwukere, “Engineering Quality Instruction Delivery” Proc. Of ASEE

        North Central Conference, April 1999

        Tessema, G., A. Kalu, and T. Young, “Relational Study of the Effect of Four Weeks College

        Algebra Tutoring on MSIEP Workshop Participants’ College Algebra Test Scores,”

        Presented at the “Synergy in STEM: Bringing Mathematics, Physics and Engineering

        Together,” October 30, 2009 Conference at New York City College of Technology, New

        York, New York

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        Published

        2015-04-01

        How to Cite

        Kalu, A., Tessema, G., & Lin, S. (2015). Improving Class Performance in STEM Using Pareto Technique. International Journal for Innovation Education and Research, 3(4), 1-10. https://doi.org/10.31686/ijier.vol3.iss4.342