Satellite: Next Steps in Statistics Education

Durban, South Africa 2009

Themes

• What constitutes best practice for the curriculum beyond the “Introductory Statistics” course? What courses should follow on for those wishing to major in Statistics and what additional training should we offer to those in other disciplines?
• What elements of our undergraduate curriculum specifically prepare our students for their careers post-graduation, either in the workplace or as masters/doctoral students? How can we improve these elements?
• Since the 1949 formation of its precursor, the ISI Statistical Education Committee, the IASE has matured as an organisation. As we move towards ICOTS 8, we note that great progress has already been made in the field of Statistics Education but the challenge we face now is to consider the next steps that we must take. How can we build on past progress to raise the profile of our field so that it becomes a more visible and vibrant pursuit?

Session 1: The Big Picture - Where Next for Statistics Education?

• 1.1 What do we do now? The next steps required for Statistics Education : Patrick Murphy
• 1.2 Some principles of flows and steps in designing tertiary statistics curricula for learning : Helen McGillivray
• 1.3 Developing Statistical Reasoning in a “Piecemeal” Secondary Statistics Curriculum—The Next Step : Roxy Peck

Session 2: Beyond the Introductory Statistics Course

• 2.1 Next steps in Statistics Education: Successful Service Teaching : Ruth Allen, B. Abram, A. Folkard and G. Lancaster
• 2.2 Experiencing the complexity of reality before graduation : Elisabeth Svensson
• 2.3 Making statistics meaningful: The merits of a competence-based approach : Hans Van Buuren
• 2.4 Statistics Education Graduate Programmes : Pam Arroway

Session 3: Curriculum Content and Teaching Methodologies 1

• 3.1 A Randomization-Based Curriculum for Introductory Statistics : Allan Rossman
• 3.2 What type of students prefer what components of a blended learning environment? : Dirk T. Tempelaar, Bart Rienties, and Sybrand Schim van der Loeff
• 3.3 Turning web 2.0 tools into tools for teaching statistics : Giovanni Alfredo Barbieri and Paola Giacché
• 3.4 Helping Undergraduates to Contribute to an Evidence Based World : John Marriott and Neville Davies
• 3.5 Web Based New Paradigm of Statistics Education : Tae Rim Lee

Session 4: Statistics Education and the Wider Society

• 4.1 One Small Step for a Pupil - One Giant Leap for Citizens : James Nicholson, Jim Ridgway and Sean Mc Cusker
• 4.2 The Next Great Leap – from Official Data to Public Knowledge : Jim Ridgway, James Nicholson and Sean McCusker
• 4.3 How do experts think about statistics? Hints for improving undergraduate and postgraduate training : Samantha Low Choy and Therese Wilson

Session 5: Training Statistical Educators

• 5.1 Towards measuring technological pedagogical content knowledge in statistics : M. Alejandra Sorto and Larry Lesser
• 5.2 Identifying teacher professional development needs for teaching the data analysis component of primary level mathematics : Aisling Leavy
• 5.3 Statistical Capacity Development Among Faculty: The Bukidnon State University Experience. : Joy Mirasol
• 5.4 Development and validation of a teaching practice scale (TISS) for instructors of introductory statistics at the college level : Rossi Hassad

Session 6: Special Session on Statistics Education in Africa

• 6.1 A Report from OZCOTS 2008 : Brian Phillips
• 6.2 : Delia North
• 6.3 : Elisabeth Basson
• 6.4 : Jackie Scheiber
• 6.5 Discussion

Session 7: Statistics Education at School Level

• 7.1 Process Skills & Statistical Education : Doreen Connor
• 7.2 Real Data At School: New Experiences with Interactive Methods of Data Exploration for Teachers : Doreen Connor, Mark Crowley and Neville Davies
• 7.3 Learning Statistics in the Senior School using illustrated real data in context : John Harraway

Session 8: Curriculum Content and Teaching Methodologies 2

• 8.1 Large group teaching and technology – don’t throw the baby out with the bathwater : Elisabeth Basson
• 8.2 Exploring large scientific data sets as an entrée to statistical ideas in secondary schools : James Hammerman
• 8.3 Scenario-based approach for teaching biostatistics to veterinary students : Navneet Dhand and Peter Thomson
• 8.4 The homeless average age 9? A Curricular Example : Adam Molnar and Jill Price
• 8.5 The Impact of Assessment Practices on Students’ Approach to Learning in Statistics : Anna Dorothea Corbett

Session 9: Statistics Education for the Workplace

• 9.1 Undergraduate statistics curriculum for the workplace: A case study of public universities in Uganda : Charles Opolot-Okurut
• 9.2 Creation and evaluation of a workplace based certificate in official statistics for government policy makers : Sharleen Forbes
• 9.3 Helping students prepare for their future working : Penelope Bidgood
• 9.4 What do statisticians working in policy research need from statistical education? : Mohamed Ismail and Magued Osman

Session 10: Special Workshop

• 10 One Small Step for a Pupil - One Giant Leap for Citizens : James Nicholson and Jim Ridgway