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Sanford, John F.; Naidu, Jaideep T. – Contemporary Issues in Education Research, 2016
Early education has classically introduced reading, writing, and mathematics. Recent literature discusses the importance of adding "computational thinking" as a core ability that every child must learn. The goal is to develop students by making them equally comfortable with computational thinking as they are with other core areas of…
Descriptors: Computation, Early Childhood Education, Mathematical Concepts, Spreadsheets
Teppaitoon, Wittaya – Chemical Engineering Education, 2016
This work aims to demonstrate the use of Excel spreadsheets for solving L-L extraction problems. The key to solving the problems successfully is to be able to determine a tie line on the ternary diagram where the calculation must be carried out. This enables the reader to analyze the extraction process starting with a simple operation, the…
Descriptors: Spreadsheets, Courseware, Problem Solving, Computation
Mangiero, George A.; Kraten, Michael – American Journal of Business Education, 2017
Financial analysts generally create static formulas for the computation of NPV. When they do so, however, it is not readily apparent how sensitive the value of NPV is to changes in multiple interdependent and interrelated variables. It is the aim of this paper to analyze this variability by employing a dynamic, visually graphic presentation using…
Descriptors: Predictor Variables, Visual Aids, Computer Graphics, Business Administration Education
LoSchiavo, Frank M. – Teaching of Psychology, 2016
Instructors often use spreadsheet software (e.g., Microsoft Excel) in their statistics courses so that students can gain experience conducting computerized analyses. Unfortunately, students tend to make several predictable errors when programming spreadsheets. Without immediate feedback, programming errors are likely to go undetected, and as a…
Descriptors: Statistics, Spreadsheets, Courseware, Programming
Kim, Myung-Hoon; Kim, Michelle S. – Journal of Chemical Education, 2016
A visual regression analysis using the least absolutes method (LAB) was developed, utilizing an interactive approach of visually minimizing the sum of the absolute deviations (SAB) using a bar graph in Excel; the results agree very well with those obtained from nonvisual LAB using a numerical Solver in Excel. These LAB results were compared with…
Descriptors: Least Squares Statistics, Regression (Statistics), Graphs, Courseware