• Students' Ambiguity Tolerance as a Success Factor in Learning to Reason Statistically

    Rob Carver, Stonehill College
    Tuesday, June 12, 2007 - 2:00pm ET
    We've probably all observed that some of our students become positively irritated with the uncertainty that remains after solving a problem of statistical inference. This webinar reports on a continuing empirical investigation of the relationship between Ambiguity Tolerance (AT) and students' facility in developing the skills of inferential reasoning. This research uses some validated measures of AT and of statistical thinking to focus on ambiguity tolerance as an explanatory or moderating factor in learning to apply the techniques of inference.Watch Webinar Recording (FLASH)
  • Everything you wanted to know about JSE but were afraid to ask

    Bill Notz, The Ohio State University
    Tuesday, May 8, 2007 - 2:00pm ET
    Bill Notz, the Editor of the Journal of Statistics Education (JSE), will discuss all aspects of the journal. He will outline the mission and history of the journal, describe the various departments of the journal, explain what you can find at the journal's web site, indicate the types of manuscripts the journal seeks to publish, and mention possible future directions. He will be happy to answer any questions participants may have. These could range for suggestions about how to write articles, review times, resources, or even how one could become involved with the journal.Watch Webinar Recording (FLASH)
  • Development and Implementation of a Virtual Advanced Teaching Rotation: A Case Study in Web-Based Instruction

    Maria C. Pruchnicki, Assistant Professor of Clinical Pharmacy, The Ohio State University College of Pharmacy
    Tuesday, April 10, 2007 - 2:00pm ET
    Distance education and online learning opportunities, collectively known as "e-learning", are becoming increasingly used in higher education. Nationally, online enrollment increased to 3.2 million students in 2005, compared to 2.3 million in 2004.[1] Furthermore, nearly 60% of higher education institutions identify e-learning as part of their long-term education strategy.[1] Newer educational technologies including course management systems and Internet-based conferencing software can be used to both deliver content and engage participants as part of a social learning community. However, even experienced faculty can face pedagogical and operational challenges as they transition to the online environment. This interactive presentation will discuss a systematic approach to developing web-based instruction, with our experience as a case example. [1] The Sloan Consortium. Making the grade: online education in the United States, 2006. Needham, MA: Sloan-C; 2006. Available from: www.sloan-c.org/publications/survey/survey06.asp. [Accessed 3/15/07]Watch Webinar Recording (FLASH)
  • Conducting Classroom Research in Statistics Education: Issues, Challenges and Examples

    Andrew Zieffler, University of Minnesota
    Tuesday, March 13, 2007 - 4:00pm ET
    The interdisciplinary field of inquiry that is statistics education research spans a diverse set of disciplines and methodologies. A recent review of a subset of this literature, the research on teaching and learning statistics at the college level, was used to raise some practical issues and pose some challenges to the field of statistics education. These will be addressed in the CAUSE webinar. In addition, a recent doctoral dissertation study will be used to illustrate some of these challenges and offer suggestion for how to deal with them.Watch Webinar Recording (FLASH)
  • Teaching Introductory Statistics with a Sports Emphasis

    Jim Albert, Bowling Green State University
    Tuesday, February 13, 2007 - 2:00pm ET
    An introductory statistics course is described that is entirely taught from a baseball perspective. This class has been taught as a special section of the basic introductory course offered at Bowling Green State University . Topics in data analysis are communicated using current and historical baseball datasets. Probability is introduced by describing and playing tabletop baseball games. Inference is taught by distinguishing between a player's "ability" and his "performance", and then describing how one can learn about a player's ability based on his season performance. Baseball issues such as the proper interpretation of situational and "streaky" data are used to illustrate statistical inference.Watch Webinar Recording (FLASH)
  • Using Statistics Effectively in Statistics Education Research

    Sterling Hilton, Brigham Young University
    Tuesday, January 9, 2007 - 2:00pm ET
    Beginning in January 2005, the ASA (with support from the National Science Foundation) started a series of three workshops for statisticians and mathematics education researchers. The purpose of these workshops was to make recommendations on ways to promote high-quality education research that can stand up under the scrutiny of other scientific communities and that will allow work to be compared and combined across research programs. A draft version of the final report from these workshops entitled "Using Statistics Effectively in Mathematics Education Research" has been written. This webinar will summarize the major points of this report and discuss their relevance to researchers in statistics education.Watch Webinar Recording (FLASH)
  • Teaching Statistics Online

    Michelle Everson, University of Minnesota
    Tuesday, December 12, 2006 - 2:00pm ET
    This webinar will focus on describing an introductory statistics course that is taught completely online. The structure of this course will be described, and samples of different student assignments and activities will be presented. Assessment data and student feedback about the course will also be presented. Discussion will focus on issues that must be considered when developing and administering an online course, such as the instructor's role in the online course and ways to create an active learning environment in an online course.Watch Webinar Recording (FLASH)
  • GAISEing into the Future of Statistics Education

    Chris Franklin, University of Georgia; and Jessica Utts, University of California, Davis
    Tuesday, November 14, 2006 - 2:00pm ET
    In 2005 the American Statistical Association endorsed the recommendations of a report written by leading statistics educators, called "Guidelines for Assessment and Instruction in Statistics Education" (GAISE). The report had two parts - one for K-12 and one for the college introductory statistics course. In this webinar, two members of the report-writing team will review the recommendations in the report, and provide suggestions for how to begin to implement them.Watch Webinar Recording (FLASH)
  • Writing and Data Analysis Projects for Introductory Statistics

    John P. Holcomb, Jr., Cleveland State University
    Tuesday, October 10, 2006 - 2:00pm ET
    This webinar will present a quick overview of assessment methods related to student writing assignments and data analysis projects. Beginning with short writing assignments, we will progress through a range of different approaches to projects at the introductory course level. On-line resources containing existing project ideas will be shown along with ideas for creating one's own projects. We will also discuss several approaches to evaluating the range of assignments.Watch Webinar Recording (FLASH)
  • Teaching to the Guidelines for Assessment and Instruction in Statistics Education (GAISE)

    Brian Jersky, St. Mary's College; and Rob Gould, UCLA
    Tuesday, September 12, 2006 - 2:00pm ET
    This webinar will discuss resources available to educators to assist them in crafting lesson plans that meet the GAISE. We will briefly explain the GAISE, which were endorsed by the American Statistical Association and also the National Council of Teachers of Mathematics, and demonstrate various resources offered through CAUSEweb and other channels. This webinar will be a (highly) condensed version of a workshop held for math educators at St. Mary's College of California on July 27th and 28th, 2006.