New Skills in the Changing World of Statistics Education

IASE Roundtable Conference : Held online, 6–10 July 2020 (originally planned for Nanjing, China)

Conference Proceedings ISBN number: to come

Preface

• Preface to the Proceedings : Pip Arnold (Proceedings Editor), Sibel Kazak (Chair of the IPC), Gail Burrill (IPC), Joachim Engel (IPC)

Papers

The use of real and meaningful data in teaching and learning statistics

• Discussant summary for this topic : Dilcu Barnes
• Big Data Affluence in Statistics Application: A Comparison of Real Life and Simulated Open Data : Nureni Olawale Adeboye, M. Oyedunsi Olayiwola
• Integrating ‘Education for Sustainable Development’ in statistics classes: Visual analysis of social and economic data with Gapminder : Martin Andre, Zsolt Lavicza, Theodosia Prodromou
• Statistical Literacy, Quantitative Reasoning, and Data Science: Rethinking the Curriculum : Gail Burrill
• Where is Waldo in Statistic Class? Using Maps to Explore Modern Data Types : Megan Mocko

The emerging role of multivariate thinking in inferential reasoning.

• Discussant summary for this topic : Gail Burrill
• Now is the Time for Causal Inference in Introductory Statistics : Karsten Lübke, Matthias Gehrke
• An investigation of statistical reasoning skills of middle school students about distribution : Tuğçe Balkaya, Gamze Kurt

The influence of data science on the school curriculum and introductory statistics courses

• Discussant summary for this topic : Adam Molnar
• Statistical thinking for the era of big data and artificial intelligence: Toward understanding sustainability trends and issues for the future society : Orlando González, Masami Isoda, Roberto Araya
• International Data Science in Schools Project : Neil Sheldon
• Data science education in secondary schools: Teaching and learning decision trees with CODAP and Jupyter Notebooks as an example of integrating machine learning into statistics education : Rolf Biehler, Yannik Fleischer, Lea Budde, Daniel Frischemeier, Dietrich Gerstenberger, Susanne Podworny, Carsten Schulte
• Data Science Education in secondary school: How to develop statistical reasoning when exploring data using CODAP and Jupyter Notebooks : Lea Budde, Daniel Frischemeier, Rolf Biehler, Yannik Fleischer, Dietrich Gerstenberger, Susanne Podworny & Carsten Schulte

Increasing power of technology and its use for doing statistics and for enhancing learning and understanding of key statistical concepts

• Discussant summary for this topic : Rolf Biehler
• Enabling statistics undergrads of developing countries to take their first steps toward data science through mobile applications : Saleha Naghmi Habibullah
• New Zealand Teachers’ Perceptions when Hearing Waiting-Time Distributions : Amy Renelle, Stephanie Budgett, Rhys Jones
• Learning analytics as a tool to permanently feedback lecturers and teaching assistants : Florian Berens, Sebastian Hobert
• Simulation-based Exploration of Surveys with Non-response : Von Bing Yap

The changing nature of data visualization and implications for the curriculum

• Discussant summary for this topic : Gail Burrill
• Data Scientists’ epistemic thinking for creating and interpreting visualizations and the impact for students’ data visualization literacy : Charlotte Bolch
• Visualizing multivariate Data: Graphs that tell stories : Joachim Engel, Pedro Campos, James Nicholson, Jim Ridgway, Sónia Teixeira

Collaboration with other disciplines to enhance students’ statistical understanding

• Discussant summary for this topic : Stephanie Budgett
• Mixture DOE on Video Game Physics : Mason Chen, Charles Chen
• Pre-Service Teachers’ Experiences of Integrating Statistical Investigations in their Curriculum Areas : Sashi Sharma
• The project method as a motivator in non-statistical careers : Teresita Terán

Posters

• Using psychological testing to make statistics understandable and meaningful: an exploratory study : Francesca Chiesi
• 2SDR methodological strategy for teaching and learning statistics in industrial engineering students : Blanca Robles