• DocumentCode
    1137052
  • Title

    Classification and Evaluation of Examples for Teaching Probability to Electrical Engineering Students

  • Author

    Nagy, George ; Sikdar, Biplab

  • Author_Institution
    Dept. of Electr., Rensselaer Polytech. Inst., Troy, NY
  • Volume
    51
  • Issue
    4
  • fYear
    2008
  • Firstpage
    476
  • Lastpage
    483
  • Abstract
    Although teachers and authors of textbooks make extensive use of examples, little has been published on assessing and classifying pedagogic examples in engineering and science. This study reviews various characteristics of examples intended for a course on probability for electrical engineers. Twelve examples are constructed to illustrate some characteristics of the correlation coefficient. A survey incorporating these examples was administered to professors and students at Rensselaer who have taught or taken a course in probability. Statistical tests are applied to determine which examples professors and students prefer and to what extent they agree in their preferences. New bipolar criteria are proposed to classify objectively a broader set of examples that appear in textbooks. Even though preferences depend on educational background and maturity, textbooks on probability are sharply differentiated by the proposed classification criteria.
  • Keywords
    educational courses; electrical engineering education; probability; statistical testing; teaching; bipolar criteria; correlation coefficient; educational course; electrical engineering students; example classification; example evaluation; statistical tests; teaching probability; textbooks; Books; Concrete; Distribution functions; Electrical engineering education; Probability density function; Random processes; Statistics; Systems engineering and theory; Testing; Vocabulary; Analogies; education; electrical engineering education; learning; probability; statistics;
  • fLanguage
    English
  • Journal_Title
    Education, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9359
  • Type

    jour

  • DOI
    10.1109/TE.2007.914942
  • Filename
    4493404