IASE, the International Association for Statistical Education, seeks to promote, support and improve statistical education at all levels everywhere around the world.
SEVEN ISI ASSOCIATIONS
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Since 1991
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IASE: International Association for Statistical Education
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Socrates: Knowledge is our ultimate good.
The International Association for Statistical Education (IASE) seeks to promote, support and improve statistical education at all levels everywhere around the world. It is the international umbrella organization for statistics education. The IASE is a section of the International Statistical Institute (ISI). It was founded in 1991 as an outgrowth of the ISI Statistical Education Committee, which had operated since 1948. Since 2002 the ISI and IASE have published the Statistics Education Research Journal. The IASE is also associated with the quadrennial International Conference on Teaching Statistics, with satellite conferences of the World Statistics Congress, and with smaller roundtable workshops.
Objectives
IASE is the international umbrella organization for statistics education. IASE fosters international cooperation, and stimulates discussion and research. It disseminates ideas, strategies, research findings, materials and information using publications, international conferences, and increasingly, this website.
In 2022 our mission was to increase inclusivity. Some of the activities we undertook to improve inclusivity were organisation of ICOTS 11 as a hybrid conference, choosing Webinar times differently to enable participation from different countries. We are also working on including different languages in our conferences and our journal, the Statistical Education Research Journal, to be able to reach out to wider statistics education community.
Objectives
IASE is the international umbrella organization for statistics education. IASE fosters international cooperation, and stimulates discussion and research. It disseminates ideas, strategies, research findings, materials and information using publications, international conferences, and increasingly, this website.
In 2022 our mission was to increase inclusivity. Some of the activities we undertook to improve inclusivity were organisation of ICOTS 11 as a hybrid conference, choosing Webinar times differently to enable participation from different countries. We are also working on including different languages in our conferences and our journal, the Statistical Education Research Journal, to be able to reach out to wider statistics education community.
Executive Committee
President: Ayse Bilgin (See picture)
Presient-Elect: Dani BenZvi
Past-President: Joachim Engel
Vice-President: Pip Arnold
Vice-President: Bruno De Sousa
Vice-President: Sibel Kazak
Vice-President: Rob Gould
Vice-President: James Musyoka
Ex offico: Conchita Kleijweg
The Full List
Full list of contributions by members who took special assignments can be found here →
Presient-Elect: Dani BenZvi
Past-President: Joachim Engel
Vice-President: Pip Arnold
Vice-President: Bruno De Sousa
Vice-President: Sibel Kazak
Vice-President: Rob Gould
Vice-President: James Musyoka
Ex offico: Conchita Kleijweg
The Full List
Full list of contributions by members who took special assignments can be found here →
"Statistics: Your ticket to anywhere!" — Ayse Aysin Bilgin, President, IASE
In 2022, IASE achieved...
7. Statistical Learning Projects in Basic and Higher Education
8. Using the R/exams package for an efficient workflow to design, produce, and mark online assessments while safeguarding the academic integrity
9. Raising statistical modeling accessibility to young learners
10. What every (numeracy) educator working with (young) adults should know about Civic Statistics and why
11. What does data science mean for statistics education?
8. Using the R/exams package for an efficient workflow to design, produce, and mark online assessments while safeguarding the academic integrity
9. Raising statistical modeling accessibility to young learners
10. What every (numeracy) educator working with (young) adults should know about Civic Statistics and why
11. What does data science mean for statistics education?
Recognized with Awards and Prizes
12. Best ICOTS Paper by an Early Career Researcher:
+ Awarded to Anne Patel, Professional Teaching Fellow, University of Auckland, New Zealand
Work: A Framework for Capturing the Development of Statistical Concepts
This award is given to an early career scholar who is a current student or achieved the most recent academic qualification within the last five years.
+ Awarded to Anne Patel, Professional Teaching Fellow, University of Auckland, New Zealand
Work: A Framework for Capturing the Development of Statistical Concepts
This award is given to an early career scholar who is a current student or achieved the most recent academic qualification within the last five years.
About ICOTS
The International Conference on Teaching Statistics (ICOTS) is held every four years in different parts of the world, organized by IASE.
The main purpose of ICOTS is to give statistics educators and professionals around the world the opportunity to exchange information, ideas and experiences, to present recent innovation and research in the field of statistics education, and to expand their range of collaborators.
The main purpose of ICOTS is to give statistics educators and professionals around the world the opportunity to exchange information, ideas and experiences, to present recent innovation and research in the field of statistics education, and to expand their range of collaborators.
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Best ICOTS Paper
Honourable Mention
This award is given to the early career scholars who were close to winning the Best ICOTS award.
+ Kristen E Roland – Brody and Jamie’s Colleague: The Difference in Confidence Interval Estimators and Estimates
+ Darren Macey – The Keys to the Kingdom: Why We Can’t Ignore Assessment if We Care About Real Improvement in the Teaching and Learning of Statistics
+ Kristen E Roland – Brody and Jamie’s Colleague: The Difference in Confidence Interval Estimators and Estimates
+ Darren Macey – The Keys to the Kingdom: Why We Can’t Ignore Assessment if We Care About Real Improvement in the Teaching and Learning of Statistics
+ Leidy Nataly Mateus-Aguilera - State of the Art on Statistical Education and Consideration of Individual Differences of Students
+ Janielly Verbisck - Study and Research Paths for Statistics Teacher Education at Secondary School Level: An Exploratory Study
+ Janielly Verbisck - Study and Research Paths for Statistics Teacher Education at Secondary School Level: An Exploratory Study
Authors From Developing Countries
This award is given to author(s) from developing countries as defined by the World Bank.
+ Eleazar Silvestre, Manual Urrea, Miguel Medina, Mexico – How do Tertiary Students Assess Sampling on Social Contexts and Media Reports? Exploring Students’ Statistical Literacy with Relation to Sampling
+ Eleazar Silvestre, Manual Urrea, Miguel Medina, Mexico – How do Tertiary Students Assess Sampling on Social Contexts and Media Reports? Exploring Students’ Statistical Literacy with Relation to Sampling
Honourable Mention, Authors From Developing Countries
+ Janielly Verbisck - Study and Research Paths for Statistics Teacher Education at Secondary School Level: An Exploratory Study (Brazil)
+ Oluyemi Adwole Okunlola, Peter Oseghale Ohue, Dorcas Modupe Okewole, Akintande Joseph Olalekan, Hope Ifeyinwa Mbachu, and Olusanya Elisa Olubusoye – Benchmark Regulation and Delivery of Statistics Education at the University Level in Nigeria (Nigeria)
+ Oluyemi Adwole Okunlola, Peter Oseghale Ohue, Dorcas Modupe Okewole, Akintande Joseph Olalekan, Hope Ifeyinwa Mbachu, and Olusanya Elisa Olubusoye – Benchmark Regulation and Delivery of Statistics Education at the University Level in Nigeria (Nigeria)
Statistical Education Research Journal
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Publication: Statistical Education Research Journal, Issue #1
Regular Issue #1. Topics
+ Challenges Associated With Measuring Attitudes Using The Sats Family Of Instruments: Douglas Whitaker, Alana Unfried, Marjorie Bond
+ (Mal)Adaptive Cognitions As Predictors Of Statistics Anxiety: Sara-Emillie Mcintee, Jean-Christophe Goulet-Pelletier, Alexandre Williot, Emma Deck-Léger, Daniel Lalande, Michael Cantinotti, Denis Cousineau
+ Assessing Secondary School Students’ Statistical Reasoning, Attitude Towards Statistics, And Statistics Anxiety: Siti Shahirah Saidi, Nyet Moi Siew
+ (Mal)Adaptive Cognitions As Predictors Of Statistics Anxiety: Sara-Emillie Mcintee, Jean-Christophe Goulet-Pelletier, Alexandre Williot, Emma Deck-Léger, Daniel Lalande, Michael Cantinotti, Denis Cousineau
+ Assessing Secondary School Students’ Statistical Reasoning, Attitude Towards Statistics, And Statistics Anxiety: Siti Shahirah Saidi, Nyet Moi Siew
+ Computes: Development Of An Instrument To Measure Introductory Statistics Instructors’ Emphasis On Computational Practices Chelsey Legacy, Andrew Zieffler, Elizabeth Brondos Fry, Laura Le
+ Design Principles For Developing Statistical Literacy In Middle Schools Christian Büscher
+ Design Principles For Developing Statistical Literacy In Middle Schools Christian Büscher
+ Characterizing Student Experience Of Variation Within A Stem Context: Improving Catapults Jane Watson, Noleine Fitzallen, Suzie Wright, Ben Kelly
+ Developing The Statistical Problem Posing And Problem Refining Skills Of Prospective Teachers Aisling Leavy, Daniel Frischemeier
+ Evaluating The Impact Of Worked Example Videos For Blended Learning In A Large-Enrolment Business Statistics Course Sarah Dart
+ Developing The Statistical Problem Posing And Problem Refining Skills Of Prospective Teachers Aisling Leavy, Daniel Frischemeier
+ Evaluating The Impact Of Worked Example Videos For Blended Learning In A Large-Enrolment Business Statistics Course Sarah Dart
+ Navigating A Disciplinary Chasm: The Statistical Perspectives Of Graduate Teaching Assistants Kelly Findley
+ Fairness In Games: A Study On Children’s And Adults’ Understanding Of Probability Rita Batista, Rute Borba, Ana Henriques
+ Fairness In Games: A Study On Children’s And Adults’ Understanding Of Probability Rita Batista, Rute Borba, Ana Henriques
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Publication: Statistical Education Research Journal, Issue #2 + #3
Special Issue #2 On Data Science
+ Editorial: Research On Data Science Education Rolf Biehler, Richard De Veaux, Joachim Engel, Sibel Kazak, Daniel Frischemeier
+ Toward Holistic Data Science Education Richard De Veaux, Roger Hoerl, Ron Snee, Paul Velleman
+ Investigating Data Like A Data Scientist: Key Practices And Processes Hollylynne Lee, Gemma Mojica, Emily Thrasher, Peter Baumgartner
+ The 5ws And 1h Of Term Projects In The Introductory Data Science Classroom Mine Cetinkaya-Rundel, Mine Dogucu, Wendy Rummerfield
+ Toward Holistic Data Science Education Richard De Veaux, Roger Hoerl, Ron Snee, Paul Velleman
+ Investigating Data Like A Data Scientist: Key Practices And Processes Hollylynne Lee, Gemma Mojica, Emily Thrasher, Peter Baumgartner
+ The 5ws And 1h Of Term Projects In The Introductory Data Science Classroom Mine Cetinkaya-Rundel, Mine Dogucu, Wendy Rummerfield
+ “I Love Math Only If It's Coding”: A Case Study Of Student Experiences In
An Introduction To Data Science Course Erica Heinzman
+ A Place For A Data Science Project In School: Between Statistics And Epistemic Programming Susanne Podworny, Sven Hüsing, Carsten Schulte
+ Teaching And Learning Data-Driven Machine Learning With Educationally Designed Jupyter Notebooks Yannik Fleischer, Rolf Biehler, Carsten Schulte
+ Introducing High School Statistics Teachers To Predictive Modelling And Apis Using Code-Driven Tools Anna Fergusson, Maxine Pfannkuch
An Introduction To Data Science Course Erica Heinzman
+ A Place For A Data Science Project In School: Between Statistics And Epistemic Programming Susanne Podworny, Sven Hüsing, Carsten Schulte
+ Teaching And Learning Data-Driven Machine Learning With Educationally Designed Jupyter Notebooks Yannik Fleischer, Rolf Biehler, Carsten Schulte
+ Introducing High School Statistics Teachers To Predictive Modelling And Apis Using Code-Driven Tools Anna Fergusson, Maxine Pfannkuch
+ Integrating The Humanities Into Data Science Education Eric A. Vance, David R. Glimp, Nathan D. Pieplow, Jane M. Garrity, Brett A. Melbourne
+ Machine Learning For Non-Majors: A White Box Approach Koby Mike, Orit Hazzan
+ Data Scientists’ Epistemic Thinking For Creating And Interpreting Visualizations Charlotte Bolch, Kent Crippen
+ Work Integrated Learning In Data Science And A Proposed Assessment Framework Ayse Aysin Bombaci Bilgin, Angela Powell, Deborah Richards
+ Machine Learning For Non-Majors: A White Box Approach Koby Mike, Orit Hazzan
+ Data Scientists’ Epistemic Thinking For Creating And Interpreting Visualizations Charlotte Bolch, Kent Crippen
+ Work Integrated Learning In Data Science And A Proposed Assessment Framework Ayse Aysin Bombaci Bilgin, Angela Powell, Deborah Richards
+ An Analysis Of Teachers’ Confidence In Teaching Mathematics And Statistics Odette Umugiraneza, Sarah Bansilal, Delia North
+ Initial Attitudes Toward Statistics Are Better In Traditional Compared To Online Courses Hiroki Matsuo, Aleise L. Nooner, Amy R. Pearce
+ Psychometric Evaluation Of The Students’ Attitudes Toward Statistics And Technology Scale Alyssa Counsell, Joseph Rovetti, Erin Buchanan
+ Student Performance In Curricula Centered On Simulation-Based Inference Beth Chance, Nathan Tintle, Shea Reynolds, Ajay Patel, Katherine Chan , Sean Leader
+ Young Children’s Use Of Subjective Thinking In Response To Probabilistic Tasks Mary Kingston, Aisling Twohill
+ Initial Attitudes Toward Statistics Are Better In Traditional Compared To Online Courses Hiroki Matsuo, Aleise L. Nooner, Amy R. Pearce
+ Psychometric Evaluation Of The Students’ Attitudes Toward Statistics And Technology Scale Alyssa Counsell, Joseph Rovetti, Erin Buchanan
+ Student Performance In Curricula Centered On Simulation-Based Inference Beth Chance, Nathan Tintle, Shea Reynolds, Ajay Patel, Katherine Chan , Sean Leader
+ Young Children’s Use Of Subjective Thinking In Response To Probabilistic Tasks Mary Kingston, Aisling Twohill
