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GO!
eCOTS 2024 - Birds of a Feather
Program
Keynotes
Breakouts
Workshops
Posters
BoF
Tuesday
June 11th, 11:00 am – 11:45 am ET
BOF-T01: Building Classroom Resources through Building Community
Melissa Crow, Marian Frazier, and Jonathan Wells
BOF-T02: Can AI Tools Enhance Statistical Consulting Education?
Samantha Robinson
BOF-T03: Decode to Deploy: Igniting the Fusion of Academic Brilliance and Industry Innovation in Data Science
Abeer Hasan
BOF-T04: Elevating Statistical Education: A Wish List of R/RStudio Enhancements
Tatiana Krikella and Chelsea Uggenti
BOF-T05: Gamifying Statistics Education: A BoF Discussion on Gamification in Outreach and Out-of-School Learning
Kimberly Stanke
BOF-T06: Involving Students in Community Outreach Projects and Turning It into Further Opportunities
Luella Fu
BOF-T07: Resources that enable far more efficient and accurate data preparation using R software. Discussion over what key features they might usefully contain.
Hillary Watt and Dr. Mintu Nath
BOF-T08: Teaching Bayesian Statistics to Undergraduate Students
Becky Tang
BOF-T09: The implications of AI in the statistical content of our courses
Anna Bargagliotti and Donna LaLonda
BOF-T10: What Should We Change About What We Teach?
Jeff Witmer
Thursday
June 13th, 11:00 am – 11:45 am ET
BOF-Th01: An ABACUS Demonstration: Apps Based Activities for Communicating and Understanding Statistics
Nath, Mintu
BOF-Th02: ASA SDSE Mentoring Program
Allison Theobold and Ella Burnham
BOF-Th03: Best Practices Using Project Based Learning in Introductory Statistics
Kelly Kornath
BOF-Th04: Connecting industry statisticians and educators needing field-specific teaching examples
Cristina M. Wood and Shonda Kuiper
BOF-Th05: HOT TOPIC: Monday (Dash Young-Saver's Keynote)
BOF-Th06: HOT TOPIC: Tuesday (Randy Pruim)
BOF-Th07: HOT TOPIC: Wednesday (Mine Dogucu, Sinem Demirci, Harry Bendekgey, Catalina Medina, Federica Zoe Ricci)
BOF-Th08: In-class Activities to collect raw data
Tuyetdong Phan-Yamada
BOF-Th09: Integrated Statistics and Quantitative Reasoning
Roxy Peck
BOF-Th10: P-values provide evidence for associations in the population, assuming random sampling from this population. Discussing the value of regularly reminding students of this fact including referring to compatibility
Hillary Watt and Andrew Pua
BOF-Th11: Qualifications and Prioritizations: 'Who', 'What', and 'How' We Teach Statistics and Data Science
Dane C. Joseph
BOF-Th12: Teaching & Learning Resampling with the Art of Stat: Resampling mobile app
Bernhard Klingenberg
Legend
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Note: All times are listed in
Eastern Time
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