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  • Diversity-related content as a gateway to critical thinking: A case study of a freshman seminar

    Kathryn Plank, The Ohio State University; and Michele DiPietro, Carnegie Mellon University
    Tuesday, August 12, 2008 - 2:00pm
    There are many good reasons to incorporate thinking about diversity into a course, not the least of which is that it can have a real impact on student learning and cognitive development. In this webinar, we will explore both how the tools of statistics can help students better understand complex and controversial issues, and, in the other direction, how using these complex and controversial issues can help facilitate deeper learning of statistics.Watch Webinar Recording (FLASH)
  • Integrating Research Projects in a First Statistics Course

    Shonda Kuiper, Grinnell College
    Tuesday, July 8, 2008 - 2:00pm
    Many instructors use projects to ensure that students experience the challenge of synthesizing key elements learned throughout a course. However, students can often have difficulty adjusting from traditional homework to a true research project that requires searching the literature, transitioning from a research question to a statistical model, preparing a proposal for analysis, collecting data, determine an appropriate technique for analysis, and presenting the results. This webinar presents multi-day lab modules that bridge the gap between smaller, focused textbook problems to large projects that help students experience the role of a research scientist. These labs can be combined to form a second statistics course, individually incorporated into an introductory statistics course, used to form the basis of an individual research project, or used to help students and researchers in other disciplines better understand how statisticians approach data analysis.Watch Webinar Recording (FLASH)
  • Setting the Stage for Students' Conceptual Change in Learning Statistics

    Bob delMas, University of Minnesota; and Marsha Lovett, Eberly Center for Teaching Excellence, Carnegie Mellon University
    Tuesday, June 10, 2008 - 3:00pm
    There is a large body of research on the mechanisms underlying student learning. In this webinar, we will explore four principles distilled from this research - the role of prior knowledge, how students organize knowledge, meaningful engagement, and goal-directed practice and feedback - and illustrate their application in the teaching of statistics. A more detailed example will be given to show how these principles can be integrated to develop and support our students' conceptual understanding.Watch Webinar Recording (FLASH)
  • Writing Assignments in an Introductory Statistics Course

    Joy Jordan, Lawrence University
    Tuesday, May 13, 2008 - 2:00pm
    Writing can be an effective instrument for students learning new concepts, and there is a plethora of writing-to-learn research. This Webinar will summarize important findings from the writing literature, as well as provide specific writing-assignment examples for the introductory statistics classroom.Watch Webinar Recording (FLASH)
  • Introducing Math Majors to Statistics

    Beth Chance & Allan Rossman, Cal Poly - San Luis Obispo
    Tuesday, April 8, 2008 - 2:00pm
    Math majors, and other mathematically inclined students, have typically been introduced to statistics through courses in probability and mathematical statistics. We worry that such a course sequence presents mathematical aspects of statistics without emphasizing applications and the larger reasoning process of statistical investigations. In this webinar we describe and discuss a data-centered course that we have developed for mathematically inclined undergraduates.Watch Webinar Recording (FLASH)
  • Computing in the Statistics Curriculum

    Deborah Nolan, University of California at Berkeley
    Tuesday, March 11, 2008 - 1:00pm
    Computing is an increasingly important element of statistical practice and research. It is an essential tool in our daily work, it shapes the way we think about statistics, and broadens our concept of statistical science. Although many agree that there should be more computing in the statistics curriculum and that statistics students need to be more computationally capable and literate, it can be difficult to determine how the curriculum should change because computing has many dimensions. In this webinar we explore alternatives to teaching statistics that include innovations in data technologies, modern statistical methods, and a variety of computing skills that will enable our students to become active and engaged participants in scientific discovery.Watch Webinar Recording (FLASH)
  • Sequencing of Topics in an Introductory Course: Does Order Make a Difference?

    Christopher J. Malone, Winona State University
    Tuesday, February 12, 2008 - 2:00pm
    The procedural steps involved in completing a statistical investigation are often discussed in an introductory statistics course. For example, students usually gain knowledge about developing an appropriate research question, performing appropriate descriptive and graphical summaries, completing the necessary inferential procedures, and communicating the results of such an analysis. The traditional sequencing of topics in an introductory course places statistical inference near the end. As a result, students have limited opportunities to perform a complete statistical investigation. We propose a new sequencing of topics that may enhance students' ability to perform a complete statistical investigation from beginning to end.Watch Webinar Recording (FLASH)
  • Cooking for the Buffet - individualizing course content to improve learning

    Dennis K. Pearl, The Ohio State University
    Tuesday, January 8, 2008 - 2:00pm
    This presentation will describe the "Buffet" method for teaching multi-section courses. In this method, students are offered a choice of content delivery strategies designed to match different individual learning styles. The choice is exercised through an on-line "contract" entered into by students at the beginning of the term. The webinar will describe our experiences with the buffet strategy at Ohio State and discuss how key elements of the strategy can also be adapted to smaller classes to improve student learning.Watch Webinar Recording (FLASH)
  • Content Barriers to Effective Pedagogy in the Introductory Statistics Course

    Mark L. Berenson, Montclair State University
    Tuesday, December 11, 2007 - 2:00pm
    As we consider how we might improve our introductory statistics course we are constrained by a variety of environmental/logistical and pedagogical issues that must be addressed if we want our students to complete the course saying it was useful, it was relevant and practical, and that it increased their communicational, computational, technological and analytical skills. If not properly considered, such issues may result in the course being considered unsatisfying, incomprehensible, and/or unnecessarily obtuse.This Webinar will focus on key course content concerns that must be addressed and will engage participants in discussing resolutions. Participants will also have the opportunity to describe and discuss other content barriers to effective statistical pedagogy. Watch Webinar Recording (FLASH)
  • Measurement that Supports Assessment for Learning

    Michael Rodriguez & Andrew Zieffler, University of Minnesota
    Tuesday, November 13, 2007 - 2:00pm
    This webinar will include an introduction to the idea of assessment for learning - assessments that support learning, enhance learning, and provide additional learning opportunities that support instruction. Several fundamental measurement tools will be described to support the development of effective assessments that work.Watch Webinar Recording (FLASH)