MAA Ancillary Workshops

(Monday and Tuesday, January 4 and 5, before JMM actually begins)

National Research Experiences for Undergraduates Workshop, organized by Dennis Davenport, Howard University; Tuesday, 9:00 am–4:30 pm. This workshop will teach participants how to write a competitive grant proposal. This workshop is a hands-on experience where participants write a summary of a proposal and rate an NSF-awarded proposal in a mock panel review. Participants will also learn many helpful hints and fatal flaws to proposal writing. This workshop is appropriate for current PIs of MAA’s NREUP grants and for those who were denied funding for an MAA grant. Advanced registration is required. Send an email to the organizer at dennis.davenport@howard.edu to register for the workshop.

Bringing Passion to your Introductory Statistics Classroom: a supportive, multidisciplinary project-based approach, the presenter for this workshop will be Lisa Dierker, Wesleyan University; organized by Lorey Burghard, Pennsylvania State University; Lisa Dierker, Wesleyan University; and Dennis Pearl, Pennsylvania State University; Monday, 9:00 am–4:30 pm. This one-day workshop will support instructors who teach an introductory statistics or quantitative research course in designing or redesigning any or all portions of their course to engage students in the rich, complicated, decision-making process of real statistical inquiry. Core features of this passion-driven, flipped classroom approach include providing opportunities for students to flexibly apply their statistical knowledge in the context of real data, the use of computing as a window to core statistical concepts, supporting students with varying levels of preparation, and attracting and inspiring students from underrepresented groups. The workshop will include very brief presentations focused on the nuts and bolts of supporting project-based experiences, followed by ample hands-on opportunities that will be supported by experienced faculty and students. Similar to the approach that will be presented; your experience in the workshop will be individualized to your own interests, background and needs.  Advance registration (but no fee) is required.  Go to https://www.causeweb.org/workshop/ to register. Sponsored by the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE).

Teaching the Statistical Investigation Process with Randomization-Based Inference, presenters for this workshop are Lorey Burghard, Pennsylvania State University; Dennis Pearl, Pennsylvania State University, and Nathan Tintle, Dordt College; organized by Lorey Burghard, Pennsylvania State University, and Dennis Pearl, Pennsylvania State University; Tuesday, 9:00 am–4:30 pm. The goals of this workshop are to help participants to revise their introductory statistics course in two ways: 1. Using randomization-based methods, as opposed to methods based on the normal distribution, to introduce concepts of statistical inference, and 2. Emphasizing the overarching process of conducting statistical investigations, from formulating a question and collecting data through exploring data and drawing inferences to communicating results, throughout the course. The workshop will provide direct experience with hands-on activities designed to introduce students to fundamental concepts of inference using randomization-based methods. The learning activities involve using freely available applets to explore concepts and analyze real data from genuine research studies. The presenters will also offer implementation and assessment suggestions during these activity-based sessions and discussion sessions based on the experiences of the presenters with randomization-based curricula in their own classrooms. More information about the project on which this workshop is based can be found at: www.math.hope.edu/isi. Advance registration (but no fee) is required.  Go to https://www.causeweb.org/workshop/ to register. Sponsored by the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE).