Statistics Education in the Era of Data Science

IASE 2021 Satellite Conference : Online Conference

Conference Proceedings

Editor’s Note

• Welcome, Introduction and Referee List : Reija Helenius

Papers

Topic 1: Connecting Statistics Education and Data Science

• What Makes Data Science Education Unique?: A Literature Review : Hiroto Fukuda
• Developing Statistical Intuition Through Simulation Studies in a Second Statistics Course : Aimee Schwab-McCoy
• How engineering students argue in an introductory course in data science : Bata Katharina, Eichler Andreas, Schmitz Angela
• Watching hands shuffle data improves subsequent understanding of R-based simulations of randomness : Icy(Yunyi) Zhang, Mary Tucker, James Stigler
• The Potential of Introductory Statistics to Promote Data Literacy and Attract Underrepresented Minority Students to Data Science : Sayed Mostafa, Tamer Elbayoumi
• Teaching Modeling in Introductory Statistics Using the Better Book Approach : Laura Fries, Caylor R. Davis, Yunyi Zhang, Ji Y. Son
• Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School : Sven Hüsing, Susanne Podworny
• Making Data Science Practices Explicit in a Data Investigation Process: A Framework to Guide Reasoning about Data : Gemma Mojica, Hollylynne Lee, Emily Thrasher, Zack Vaskalis, Greg Ray
• Nbteach: Simple Workflows for Teaching with Jupyter : Adam Blake, James Stigler, Benjamin Winjum
• What Can Statistics Education Offer to Data Science? : Von Bing Yap
• Substance or structure: How do teachers’ concept images of distribution compare to those of expert statisticians? : Darren Macey
• Statistical Education and Official Statistics – Training Future Data Scientists : Maria Eduarda Silva, Pedro Campos
• Sustainable development goals: a statistical literacy journey : Maria M. Nascimento, J. Alexandre Martins, Assumpta Estrada, Eva Morais
• The Fundamental Role of Computation in Teaching Statistical Theory : Alison Gibbs, Alex Stringer

Topic 2: Statistical Learning from the COVID-19 Pandemic

• Universal Design for Inclusive Education : Bruno de Sousa
• Data and Statistics as basis for political decisions: lessons to be learnt from the COVID-19 pandemic : Engel Joachim, Wilhelm Adalbert
• Designing assessment tasks to prevent cheating in a large first-year statistics unit : Ayse Aysin Bilgin, Huan Lin
• Data science for youth in the time of COVID : Jan Mokros, Jacob Sagrans, Pendred Noyce
• Teaching time series analysis using COVID-19 data in Southeast Europe : Zagorka Lozanov-Crvenkovic, Emilija Nikolic Djoric, Ksenija Dumicic, Blagica Novkovska
• Risk comprehension of COVID-19 statistics: Antecedents and effects on behavior : Caterina Primi, Francesco Sanson, Carola Beccari, Maria Anna Donati
• Demonstrating how the application of two selected statistical methods to COVID-19 data can render the research component of an MSc Economics Degree program more meaningful and understandable to students who repeatedly score high failure rates on account of not having a sound background in statistics. : Linda Hewitt, Roxanne Brizan-St.Martin

Topic 3: Promoting Data Literacy and Statistical Literacy

• Combining Social Betterment and Inclusive Teaching Via Discussion Boards in Basic and Intermediate Statistics : Courtney Donovan, Ngoc Phan, Crystal Luce
• Drawing (Causal) Conclusions from Data – Some Evidence : Karsten Lübke, Bianca Krol, Sandra Sülzebrück
• Hands-on strategies in statistical literacy or education - effects on the present and future : Liliana Adriana Mendoza Saboya
• Developing regression heuristics through argumentation in computing laboratory : Ken Li
• What meaning do future elementary schoolteachers attach to the numbers that appear in a database from Eurostat? : Francisca M. Ubilla, Núria Gorgorió
• Modal - Insights into an Interdisciplinary Data Literacy Project with a Practical Approach : Natalia Weissker, Leonie Kauz
• How Do Families Live Around the World? Lessons learned from a Statistical Literacy Intervention based on the “Dollar Street Project" in Undergraduate-Level Statistics and Economics Courses : Anushka Karkelanova, Emma Bojinova
• Probability Distributome – Computing, Visualization, and Instruction : Jared Tianyi Chai, Mark Bobrovnikov, Ivo D. Dinov
• Pre-service Primary School Teachers' (Pedagogical) Content Knowledge during teaching Informal Statistical Inference : Arjen de Vetten, Judith Schoonenboom, Ronald Keijzer, Bert van Oers
• Designing for motivation, when there is none: Lessons of designing a python-based data literacy program mandatory for all students. : Johannes van Deest, Salomey Afua Addo
• When the data drive the learning : Traci Higgins, Andee Rubin, Janice Mokros, Jacob Sagrans, Ada Ren-Mitchell
• Relationship between in-service mathematics teachers’ motivational and emotional orientations and knowledge in statistics : Sarah Scheuerer, Frank Reinhold, Kristina Reiss
• What questions do novices pose about categorical data? : Malia S Puloka, Stephanie Budgett, Maxine Pfannkuch
• Enhancing Data Literacy at an early Stage: Primary School Pupils´ precursor Ideas of Covariation : Martin Andre, Daniel Frischemeier, Christoph Schneider
• Using interactive simulation modules in JMP® for self-paced learning of introductory statistics : David Meintrup, Volker Kraft
• Exploration of location data: real data in the context of interaction with a cellular network : Lukas Höper, Susanne Podworny, Carsten Schulte, Daniel Frischemeier
• Simulation as a Tool to Make Sense of the World : Gail Burrill
• Assessment Question Type in A Statistics Course for non Majors: Analysis of Students’ Preference : Dorcas Okewole, Olusanya Olubusoye
• The search for validity evidence for instruments in statistics education: preliminary findings : Douglas Whitaker, Charlotte Bolch, Leigh Harrell-Williams, Stephanie Casey, Corinne Huggins-Manley, Christopher Engledowl, Hartono Tjoe
• Statistical Literacy Activities in Portuguese -Speaking Countries : Pedro Campos, Mauren Porciuncula, Julio Delgado
• Captions: The Unsung Heroes of Data Communication : Sara Stoudt, Deborah Nolan
• Attending to Students’ Reasoning About Probability Concepts for Building Statistical Literacy : Hamid R. Sanei, Hollylynne Lee
• An analysis of media items about the Coronavirus pandemic: New insights for statistical literacy : Iddo Gal, Vincent Geiger

Topic 4: Statistics and Data Science for Social Good

• Integrating Community-Engaged Work into the Data Science Curriculum : Elizabeth Fry
• How much students value an introductory statistics course, how value levels change across the term, and how they predict learning : Claudia C. Sutter, Mary Tucker, Karen Givvin, Chris Hulleman
• Promoting interest and skills in statistical and multivariable thinking with social justice data investigations : Josephine Louie, Beth Chance, Soma Roy, Jennifer Stiles, Emily Fagan
• LEME as a motivating and playful agent in the teaching of statistics in elementary education : Thays Votto, Isadora Batisti, Mauren Porciúncula

Topic 5: Experiences of Teaching from a Distance

• The Use of Random Data in Online Discussion Boards to Promote Student Understanding of Sampling Distributions : Mary Bruce
• Training graduate students to teach statistics and data science from a distance : Wendy Rummerfield, Federica Ricci, Mine Dogucu
• Case Study: Using COVID-19 data in a community-engaged elementary statistics class : Jana Asher, Amanda Goodrick
• Active Online: Not Actively Learning : Amy Renelle, Stephanie Budgett, Rhys Jones
• Reimagining online Statistical Education for Accelerated Teaching And Learning: A perspective from West Africa : Atinuke Adebanji, Emmanuel Owiredu
• Experiences of Teaching from a Distance : Joseph Saidu Sesay, Fatmata Binta Sheriff
• The Challenge of Hybrid Teaching for the Internship Programme : Teresita Terán
• Students’ perception of online vs. face to face learning of Statistics. A survey of Romanian students : Smaranda Cimpoeru
• Improving Social and Conceptual Connections During Remote Statistics Classes : Caylor R. Davis, Karen Givvin, Jinna Hwang, Ji Y. Son
• How the project method contributes to the construction of meaning in statistics – also in a hybrid learning environment : Manfred Borovcnik, Teresita Terán
• Promoting an Interest in Data Science through a Series of Online Workshops : Saleha Naghmi Habibullah

Posters

• The State of Computing Introductory Statistics Courses in the United States : Chelsey Legacy, Andrew Zieffler, Elizabeth Fry, Laura Le
• In search of developing statistical literacy in future Mexican telesecundaria teachers : Alberto Santana-Ortega, Roselia Ramírez-Hernández, Guadalupe Hernández Rosales, Ursula Guadalupe Rojas Arriaga, María Guadalupe Montes Mancilla
• Data-to-graphs and back: Secondary teachers’ reasoning about aesthetic mappings in data visualizations : Vimal Rao, Chelsey Legacy, Jonathan Brown, Andrew Zieffler, Robert delMas
• Data Explorers: Employing social justice data investigations to empower underserved teens : Chad Dorsey, Jim Hammerman, Michelle Mann
• KNIME: a tool for cross curricular Statistics and Data Science also in High School : Annamaria Lisotti, Stefan Helfrich
• The Fault in our STARS: The Lack of Discriminant Validity between Statistics and Mathematics Anxieties : Jenny Terry, Andy, P. Field