Welcome

The purpose of this SIGMAA is to facilitate the exchange of ideas about teaching statistics, the undergraduate statistics curriculum and all other issues related to providing students with effective and engaging encounters with statistics in their courses of study.  We also hope to foster increased understanding of statistics among members of the MAA, promote the discipline of statistics among students, and work cooperatively with other organizations to encourage effective teaching and learning of statistics.

Robert V. Hogg Award Nominations



 

The Special Interest Group of the Mathematical Association of America (SIGMAA) on Statistics Education is now accepting nominations for the inaugural Robert V. Hogg Award For Excellence in Teaching Introductory Statistics.

 

This award provides recognition to an individual who has been teaching introductory statistics at the college level for between three (3) and fifteen (15) years, and who has shown both excellence and growth in teaching during that time. It is named in honor of Robert V. Hogg, winner of numerous teaching accolades including the Iowa Governor’s Science Medal for Teaching in 1990 and the MAA’s Distinguished Teaching award in 1993. Hogg was also a passionate advocate for statistics education who served as the President of the American Statistical Association in 1988.

 
The deadline for nominations is September 30th, 2018. Send nominations and questions to Stacey Hancock, stacey(dot)hancock(at)montana(dot)edu

Award Information

Nomination Cover Sheet

Past Award Winners


JMM 2019

We have an exciting program at the Joint Mathematics Meetings in Baltimore, January 16-20, 2019.  Apply to give a talk! Abstracts are due September 25, 2018.

 
MAA Session on Infusing Data Science and Big Data into the Statistics Classroom
Wednesday January 16, 2019, 2:15 p.m.-6:00 p.m.
Room 301, BCC

 Several schools around the world now have programs, both at the undergraduate as well as at the graduate levels, dedicated to Data Science education, and there have been many conference presentations about such programs. This session invites participants and attendees to examine how a statistics educator might introduce a subset of Data Science topics into a statistics course. We invite presentation proposals that showcase what Data Science topics a statistics instructor can incorporate into statistics courses of any level, how they accomplish this, and consequent assessments of impact on student learning. We encourage presentations on innovative classroom activities, curriculum plans, and external resources, that are accompanied by findings from having attempted to assess or evaluate the approaches that are advocated in the presentation. Sponsored by the SIGMAA on Statistics Education (SIGMAA STAT ED).

Preparing Math and Stats Students

for Industry Careers


Thursday January 17, 2019, 9:00 a.m.-10:20 a.m.
MAA Panel

MAA Session on Technology and Resources in Statistics Education
Friday January 18, 2019, 8:00 a.m.-11:00 a.m.
Friday January 18, 2019, 3:30 p.m.-6:00 p.m.
Room 323, BCC

One of the five skill areas in the American Statistical Association’s curriculum guidelines is “Data Manipulation and Computation” (pg. 9), embracing the need for students to be competent with programming languages, simulation techniques, algorithmic thinking, data management and manipulation, as well as visualization techniques. Additionally, the emphasis on using real data and problems and their inherent complexity means that technology is often necessary outside of specifically prescribed computational courses. This session invites instructors to contribute talks exploring the use of any software or technology in statistics education. Talks may include effective instructional or pedagogical techniques for linking programming to statistics, interesting classroom problems and the use of technology to solve them, or more. If you are unsure if your idea fits, please feel free to contact the organizers before submitting. Sponsored by the Committee on Technology in Mathematics Education SIGMAA- Statistics Education.


MAA Poster Session: Activities for Teaching Multivariable Thinking through Data Visualization in Introductory Statistics
Friday January 18, 2019, 1:30 p.m.-3:30 p.m.
Pratt St Lobby, adjacent to JMM registration, BCC

The recently revised "Guidelines for Assessment and Instruction in Statistics Education (GAISE)" encourages statistics educators to teach multivariable thinking in introductory statistics classes, and a step towards this goal is to help students create and interpret graphical displays of data comprised of more than two variables. We invite proposals for poster presentations that showcase activities, datasets, and/or contexts that statistics teachers can use to motivate multivariable statistical thinking through data visualization and interpretation. Presentations should be based on activities that have actually been used in class, and accompanied by some evidence of the effectiveness of the activities in improving student understanding and interpretation of graphs and multivariable statistical thinking. A focus on modern approaches to teaching from a simulation-based perspective and incorporating data science ideas into the course are particularly encouraged. This session is sponsored by the SIGMAA Stat Ed.

SIGMAA on Statistics Education Business Meeting

Friday January 18, 2019, 6:30 p.m.-7:30 p.m.
Room 323, BCC.

SIGMAA On Statistics Education Guest Lecture
Friday January 18, 2019, 7:30 p.m.-8:30 p.m.
Room 323, BCC.

JMM 2018 Paper Presentations

The presentations at our JMM 2018 sessions were well attended and enjoyed by many. Find the link to many of the presentation slides below. Although these do not include audio for those of you who were unable to attend, you may find interesting ideas within these slideshows.  Other past presentations are also available at the link.


http://sites.iri.isu.edu/sigmaa