Anna Bargagliotti, Assistant Professor, Mathematics
In order to sustain the increased need for statistical literacy across the world, there is an immediate requirement to provide high quality statistical preparation of teachers. Project-SET is an NSF funded project aimed at developing materials to prepare secondary teachers to teach statistics. The materials are informed by best practices in statistics education, and two developed learning progressions (LPs). In this talk, we present preliminary results from the first part of a professional development (PD) designed to test whether the materials are effective in preparing teachers to teach sampling variability.
Twelve teachers enrolled to take a 40-hour PD structured around the Project-SET LPs. The LPs are organized in loop structures scaffolding the material in a way that the content become progressively more complex. After each loop, participants were administered in-class assessment tasks to uncover whether they progressed through the loop in the manner outlined by the LP. Results from the in-class tasks highlight several misconceptions that teachers have. This talk will discuss these misconceptions, illustrate teacher’s work, and discuss how these misconceptions may be corrected.
Refreshments will be served. Please RSVP to firstname.lastname@example.org or x85866.
This talk is part of the Collaborative Research in Education, Assessment, and Teaching Environments for the fields of Science, Technology, Engineering, and Mathematics series. The goal of the series is to provide a forum for faculty working on research related to STEM education to present and discuss their work. All interested welcome.
This program will be video and audio taped and may be podcast. By your willing participation in the program, you expressly and irrevocably consent to be photographed, videotaped and/or audio taped and quoted/cited. The films, tapes, and other digital recordings will become the property of the Center of Teaching Excellence, LMU.