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Validating Interactive Approach for Teaching Statistics

This study validates an interactive approach for teaching large statistics classes based on the GAISE recommendations. It emphasizes active learning, statistical thinking, and conceptual understanding using real data and technology. The approach improves instruction quality, satisfies different learning styles, and enhances students' active learning experience. Technology resources such as online materials, statistical software, and PowerPoint presentations were utilized, resulting in improved motivation, performance, and high student satisfaction. This approach provides an effective teaching method for introductory statistics courses.

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Validating Interactive Approach for Teaching Statistics

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  1. Validating an Interactive Approach to Teach Large Statistics Classes Based on the GAISE Recommendations Ramon Gomez Senior Instructor Dept. of Math & Statistics Florida International University eCOTS-2012 E-mail: gomezra@fiu.edu

  2. University’s Main Campus

  3. Guidelines for Assessment and Instruction in Statistics Education (GAISE) Recommendations • Foster active learning • Develop statistical thinking • Stress conceptual understanding rather than mere knowledge of procedures • Access to real data • Use technology to develop conceptual understanding and perform data analysis

  4. Course: Introduction to Statistics I (STA-2122) General Information Three credit-hours course Topics Descriptive Statistics Probability Inferential Statistics based on a single sample Text book: “Statistics” by McClave & Sincich (Chapters 1-8)

  5. Course: Introduction to Statistics I (STA-2122) General Information (cont’d) • Students: various majors (freshmen to seniors) • Classroom technology: computer projection system • Classroom board: Dry erase • Classroom (auditorium) capacity: 200-250 seats • Fall 2009 and Fall 2010 actual enrollment: 199 students each term

  6. Use of Technology Objective: To improve quality of instruction and students’ understanding • Satisfy different learning styles • Promote students’ active learning • Use of real data sets • Automated calculations and graphs • More efficient use of class time • Interactive learning experience

  7. Technology Resources Used • Website: online course materials • Scientific calculator equipped with statistical capabilities • PowerPoint: PP presentations developed by the instructor were used for all lectures. A course pack with the PP slides was available at the university bookstore. • PP presenter: provided Instructor with wide mobility in the classroom • Statistical Software: SPSS (Statistical Package for Social Sciences) output was integrated into the PP presentations

  8. Classrooms: Auditoriums Fall 2009 Fall 2010

  9. Evaluation System • Quizzes • Two midterm tests • Three (take-home) team assignments • Cumulative final exam Preparing for Evaluations • Expectations were clearly stated • Objectives were described in detail • Cooperative learning was promoted

  10. Students’ Motivation and Performance Students’ Satisfaction Overall Assessment of Instruction: Excellent/Very Good Opinions Fall 2007 – Spring 2009: 84% Fall 2009 & Fall 2010: 93%

  11. Validating an Interactive Approach to Teach Large Statistics Classes Based on the GAISE Recommendations Conclusions • Use of technology resources (Power Point and SPSS) contributed to generate an interactive approach that improved the quality of instruction and students’ understanding • Students motivation was outstanding • Students’ performance compared favorably to previous groups with a more traditional teaching method • Students’ satisfaction was very high • This Interactive Approach based on the GAISE recommendations provided a very effective teaching-learning method for an introductory statistics course at college level

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