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Contributed Papers

Broad Educational Investigations on Teaching(ers)

Mon, Aug 3, 8:30 AM - 10:20 AM Room CC-105 Thomas M. Menino Convention & Exhibition Center

Jessica KohlschmidtChair

Section on Statistics and Data Science Education

6 Presentations

Developing Data Evangelists as Catalysts for Community Impact

8:35 AM - 8:50 AM

Amish Mishra (Taylor University)

Data Community Identity Christian Education and Formation Resources Framework

From Active Learning to Student Belonging: The Role of Instructor Presence

8:50 AM - 9:05 AM

Sierra Merkes (Virginia Tech Statistics Department)

Co-authors: Anne Driscoll (Virginia Tech), Carrie Case (Virginia Tech, Dept. of Statistics)

Active Learning Community Introductory Statistics

Measuring Mathematics Teacher Attitudes Towards Teaching Statistics

9:05 AM - 9:20 AM

Robert Schoen (Florida State University)

Co-authors: Joselyn Perez (Florida State University), Yanyun Yang (Florida State University)

statistics education measurement teacher education factor analysis parallel analysis questionnaire

Peer Teachers, Deeper Thinkers: Mixed-Level, Cross-Discipline Statistics Classrooms for Deeper Learning and Inspired Persistence

9:20 AM - 9:35 AM

Krista Gile (University of Massachusetts Amherst)

statistical thinking near-peer mentoring cross-disciplinary inclusivity critical thinking relationship-rich

Reasoning about effect sizes & meta-analysis: cognitive pitfalls & implications for stats education

9:35 AM - 9:50 AM

Kaitlyn Fitzgerald (Villanova University)

Co-authors: Elijah Perlman (Villanova University), Kevin Inahuazo (Villanova University), Joey Coladipietro (Villanova University), Avery Charles (Azusa Pacific University), David Khella

Statistics education Statistical communication effect sizes meta-analysis statistical cognition

Scaffolded Opportunities for Undergraduate Contributions to Statistics and Data Science Education

9:50 AM - 10:05 AM

Nicholas Clark (University of St. Thomas, Minnesota)

Co-authors: Rochelle Tractenberg (Georgetown University), Ivan Ramler (St. Lawrence University)

Undergraduate research Peer review Statistics education Data science education Professional identity development Experiential learning

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