eCOTS 2024 - Keynotes

Title: An Update on the College GAISE Revision Process


Jamie Perrett

Jamie Perrett (Brigham Young University)

Bio: Dr. Perrett received his Ph.D. in statistics from Kansas State University in 2004. He has held several positions over the years both in industry and academia. He currently is an associate teaching professor in the Department of Statistics at Brigham Young University where his research focus is statistics education. He is actively involved in the American Statistical Association where he currently serves as vice-chair of the education council, a vice-chair of the Council of Chapters, co-chair of the College GAISE revision, ASA representative on the CBMS data science task force, and is an ASA Fellow.


Patti Frazier Lock

Patti Frazier Lock (St. Lawrence University)

Bio: Patti Frazer Lock is a Professor of Mathematics and Statistics at St. Lawrence University. She is a co-author of Statistics: Unlocking the Power of Data with her husband and three children.  She is also a co-author with Deb Hughes-Hallett’s  Calculus Consortium of texts in Calculus, Multivariable Calculus, Applied Calculus, Pre-calculus, and College Algebra.   She has chaired the SIGMAA on Statistics Education, has served on the ASA-MAA Joint Committee on Statistics Education, and chaired the Applied Data Analysis course report committee for the MAA Curriculum Guide.   She is currently co-chairing the committee to revise the College GAISE report.  She has won numerous teaching and presentation awards.  She is passionate about finding ways to help students succeed at and enjoy introductory courses in mathematics and statistics.




Title: We Went From 2% to 42% Passing AP Stats. Here's What We Learned...



Dash Young-Saver (Skew The Script)

Bio: While teaching at a high-poverty school on the southside of San Antonio, Dash threw out his traditional AP Stats curriculum and created lessons on topics that his students cared about: voter power, food deserts, the Spurs’s chance at winning the NBA title, online dating, and more. That year, more students at the school took and passed the AP exam than in the previous 16 years combined. During the pandemic, Dash put his lessons online. His website became Skew The Script – a nonprofit that provides free, relevant-context math lessons to more than 20,000 teachers and 400,000 students nationwide. In addition to running Skew The Script, Dash still teaches part-time in San Antonio and writes math lessons for The New York Times. He holds a BA and master’s in Data Science from Harvard.



Title: The data just got real: Preparing students to use statistics beyond the classroom



Maria Tackett (Duke University)

Bio: Maria Tackett is an Assistant Professor of the Practice in the Department of Statistical Science at Duke University. Her research focuses on examining factors that impact students’ sense of belonging in introductory math and statistics courses, along with identifying pedagogies that foster community and supportive learning environments. Maria has worked with the Bill & Melinda Gates Foundation and the Charles A. Dana Center on projects to develop introductory statistics courseware and instructional materials. She is an associate editor for the Journal of Statistics and Data Science Education, an editor for the “Taking a Chance in the Classroom” column in CHANCE magazine, and part of the steering committee for the current GAISE College Report revision.




CAUSE Research Keynote

Title: Classification, decision trees, and machine learning as part of secondary statistics education - from societal, conceptual, and pedagogical analysis to research on classroom experiments


Jamie Perrett

Rolf Biehler (Paderborn University)

Bio: Dr. Rolf Biehler is professor emeritus for didactics of mathematics at Paderborn University, Germany. His research interests include probability, statistics and data science education with digital tools, university mathematics education and the professional development of mathematics teachers ( Rolf Biehler is currently co-directing the Project Data Science and Big Data at School ( at Paderborn University, a collaborative project with computer science educators. The project develops curriculum material and professional development courses for teachers and investigates which aspects of data-based machine learning can and should be taught at primary, middle and high school level. He was co-founder and co-director of the Centre for Research in University Mathematics Education ( and co-founder of the German Centre for Mathematics Teacher Education ( He has served and continues to serve on editorial boards of several international and national mathematics education journals and book series. He currently chairs the advisory board of the Statistics Education Research Journal and the German Association for the Promotion of Stochastics Teaching in Schools.