Collaborative Research: Adaptation

1
Collaborative Research Adaptation
Implementation of Activity Web-Based Materials
Into Post-Calculus Introductory Probability and
Statistics Courses

• Tracy Goodson-Espy
• M. Leigh Lunsford
• Ginger Holmes Rowell

2
Project Objectives

• To improve post-calculus students learning of
  probability statistics.
• To provide students with better preparation for
  their future careers in mathematics statistics,
  mathematics education, and computer science.

This project is partially support by the
National Science Foundation. The project starts
in June, 2002 and continues through August, 2004.
3
The Materials for AI

• A Data-Oriented, Active Learning, Post-Calculus
  Introduction to Statistical Concepts Methods, and
  Theory (SCMT)
• A. Rossman, B. Chance, K. Ballman
• NSF DUE-9950476
• Virtual Laboratories in Probability and
  Statistics (VLPS)
• K. Siegrist
• NSF DUE-9652870

4
Statistical Concepts Methods, and Theory (SCMT)
A Small Sample of Materials
5
Virtual Laboratories in Probability Statistics
An Example

• Games of Chance
• Contents
• Poker
• Poker Dice and Chuck-a-Luck
• Craps
• Introduction
• Roulette
• The Monty Hall Problem
• Lotteries
• Notes
• Applets
• Poker Experiment
• Poker Dice Experiment
• Chuck-a-Luck Experiment
• Craps Experiment
• Roulette Experiment
• Monty Hall Game
• Monty Hall Experiment

Poker Experiment Applet
6
A Collaborative Approach
AI Materials into Post Calculus Prob/Stat Courses
Athens State Univ. M. Leigh Lunsford
Middle Tenn. St. Univ. Ginger Holmes Rowell
Univ. of Alabama, Huntsville Tracy Goodson Espy
Provide Objective Independent Assessment of AI
7
The AI Cycle
8
Assessment of AI of Materials

• Will Use an Action Research Model
• What is the problem? I.e., what is not working in
  the classroom?
• What technique can be used to address the
  learning problem?
• What type of evidence can be gathered to show
  whether the implementation is effective?
• What should be done next, based on what was
  learned?
• 1999 - R. delMas, J. Garfield, B. Chance

9
Project Goals and Outcomes

• The development of post-calculus probability and
  statistics courses that produce well-educated
  students.
• The integration of technology and group-based
  activity work into the courses for the purpose of
  enhancing student learning.
• The enhancement of student communication skills
  through oral and written reports and
  presentations.
• The improvement and implementation of
  non-traditional assessment techniques for
  evaluating students.
• A contribution to the mathematics community
  discussion/research concerning what
  topics/materials/methods should be included in
  reform-oriented probability and statistics
  courses to improve overall student understanding
  of the subject.

10
Dissemination

• Presentations at Professional Conferences
• In-Service Training for High School Statistics
  Teachers (Spring 2004)
• Summer Workshop for College Faculty (Summer 2004)
• Papers in Mathematics Education Journals
• Project Website
• http//www.athens.edu/NSF_Prob_Stat/