{"id":105,"date":"2023-08-02T18:32:50","date_gmt":"2023-08-02T18:32:50","guid":{"rendered":"https:\/\/pages.nyit.edu\/fgordon\/?page_id=105"},"modified":"2024-01-28T22:08:33","modified_gmt":"2024-01-28T22:08:33","slug":"recent-articles","status":"publish","type":"page","link":"https:\/\/pages.nyit.edu\/fgordon\/recent-articles\/","title":{"rendered":"Recent Articles"},"content":{"rendered":"\n
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  1. Visualizing and Understanding the Chain Rule in Calculus, (submitted)<\/strong>.<\/li>\n\n\n\n
  2. Buffonery in the Math Classroom, (submitted).<\/strong><\/li>\n\n\n\n
  3. Exploring Logarithms with Fractional Bases, The MathMATYC Educator,<\/strong>(to appear)<\/strong>.<\/li>\n\n\n\n
  4. Visualizing Exponential and Logarithmic Identities Using Dynamic Software, The MathMATYC Educator, (to appear).<\/strong><\/li>\n\n\n\n
  5. Using Moving Averages to Find Trends in Data, The MathMATYC Educator, 2023.<\/strong><\/li>\n\n\n\n
  6. Exploring Tangentoidal Functions, MathAMATYC Educator, 2023.<\/strong><\/li>\n\n\n\n
  7. Visualizing and Understanding P<\/em>-Values in Hypothesis Testing Using Dynamic Software, MathAMATYC Educator, 2022.<\/strong><\/li>\n\n\n\n
  8. Incorporating Statistics into College Algebra, Int\u2019l J of Tech in Math Education, 2021. <\/strong><\/li>\n\n\n\n
  9. Visualizing and Understanding Sampling Distributions with Dynamic Software, Int\u2019l J of Tech in Math Education, 2019.<\/strong><\/li>\n\n\n\n
  10. Visualizing and Understanding Regression and Correlation Using Dynamic Software, Int’l J of Tech in Math Education, 2018.<\/strong><\/li>\n\n\n\n
  11. Visualizing and Understanding Hypothesis Testing Using Dynamic Software, PRIMUS, 2018.<\/strong><\/li>\n\n\n\n
  12. Visualizing and Understanding Confidence Intervals Using Dynamic Software, Math and Computer Education, 2016.<\/strong><\/li>\n\n\n\n
  13. Integrating Statistics Into College Algebra to Serve the Needs of Students in Biology, in Undergraduate Mathematics for the Life Sciences: Processes, Models, Assessment, and Directions <\/em>, Ledder, Glenn, Jenna Carpenter, and Tim Comar, Eds., MAA Notes, 2013.<\/strong><\/li>\n\n\n\n
  14. Why Conceptual Understanding is Important in College Algebra, Vision Potential, 2011.<\/strong><\/li>\n\n\n\n
  15. Is Calculus Possible After Reform College Algebra?, Vision Potential, 2011.<\/strong><\/li>\n\n\n\n
  16. On the Statistics of a Function, Int’l J of Math Education in Science and Technology, 2009.<\/strong><\/li>\n\n\n\n
  17. Visualizing and Understanding Probability and Statistics: Graphical Simulations Using Excel, PRIMUS, 2009.<\/strong><\/li>\n\n\n\n
  18. Using the Sum of the Squares, Mathematics and Computer Education, 2008.<\/strong><\/li>\n\n\n\n
  19. What Does the Slope Mean?, Primus, 2007.<\/strong><\/li>\n\n\n\n
  20. Discovering the Fundamental Theorem of Calculus using Data Analysis, The Mathematics Teacher, 2007.<\/strong><\/li>\n\n\n\n
  21. What Does Conceptual Understanding Mean? The AMATYC Review, 2006.<\/strong><\/li>\n\n\n\n
  22. Assessing What Students Learn: Reform versus Traditional Precalculus and Follow-up Calculus, in A Fresh Start for Collegiate Mathematics: Rethinking the Road Toward Calculus<\/em>, Nancy Baxter Hastings, ed, MAA Notes, 2006.<\/strong><\/li>\n\n\n\n
  23. The Functioning in the Real World Project, in A Fresh Start for Collegiate Mathematics: Rethinking the Preparation for Calculus<\/em>, Nancy Baxter Hastings, Ed., MAA Notes, 2006.<\/strong><\/li>\n\n\n\n
  24. Deriving the Linear Regression Equations Using Algebra, Mathematics and Computer Education, 2004.<\/strong><\/li>\n\n\n\n
  25. Deriving the Quadratic Regression Equations Using Algebra, Mathematics and Computer Education, 2004.<\/strong><\/li>\n\n\n\n
  26. Using Data Analysis to Motivate Derivative Formulas, Mathematics and Computer Education, 2002.<\/strong><\/li>\n\n\n\n
  27. Using Data Analysis to Discover the Fundamental Theorem of Calculus, PRIMUS, 2003.<\/strong><\/li>\n\n\n\n
  28. What Students Learn: Mathematical Modeling vs. Traditional Precalculus, Proc 13th Int’l Conf on Tech in Collegiate Math, Addison-Wesley, 2003.<\/strong><\/li>\n\n\n\n
  29. A Spoonful of Medicine Makes the Mathematics Go Down, AMATYC Review , 2002.<\/strong><\/li>\n\n\n\n
  30. What Does the Slope Mean?, PRIMUS, 2001.<\/strong><\/li>\n\n\n\n
  31. Preparing Students Mathematically for the Twenty First Century, Proc 4th Int’l Conf on Mathematics Education, 2000.<\/strong><\/li>\n\n\n\n
  32. Using Real-World Data in the Teaching and Learning of Mathematics, Proc 11th Int’l Conf on Tech in Collegiate Math, Addison-Wesley, 2000.<\/strong><\/li>\n\n\n\n
  33. Functioning in the Real World: A PreCalculus Experience. The Math Modeling\/ PreCalculus Reform Project, in Exemplary Programs in Introductory College Mathematics<\/em>, Susan Lenker, Ed., Annenberg\/CPB INPUT Competition, MAA Notes, 1999.<\/strong><\/li>\n\n\n\n
  34. Linking Mathematics and Physics via a Classroom Demonstration, PRIMUS, 1999.<\/strong><\/li>\n<\/ol>\n\n\n\n
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