ICOTS 9 2014

ICOTS9 website➶ (for conference themes, program, sponsors, host, etc.)

Flagstaff, United States of America


Excellence Awards for Early Career Papers


“Highly commended” papers

Topic 1: Sustaining strengths and building capacity in statistics education

Building the capacity of mathematics and science teachers to teach statistics

Statistics education outreach across the globe

Building the capacity to teach and understand statistics in emerging economies

Building capacity in Statistics majors

The importance of attitudes in statistics education: sustaining learning processes and outcomes

Topic 2: Statistics education at school level

Early years statistics education: ages 4 - 8

Middle school statistics education: ages 8 - 13

Secondary school statistics education: ages 13 +

Statistical education at the Secondary/Higher Education interface

Using technology at school level to enhance statistical understanding

Innovative approaches to improve pedagogical content knowledge at the school level

Linking research and practice in teaching and learning statistics at the school level

Topic 3: Education and development of staff who teach statistics

Statistics instructors’ content knowledge

Statistics instructors’ knowledge of students’ development of fundamental statistics concepts

Statistical instructors’ knowledge of assessing students’ learning of statistics

Statistics instructors’ use of technology for teaching statistics

Professional development of statistics instructors

Theory and practice of statistics: curriculum for statistics teachers

Topic 4: Statistics education at the post-secondary level

Randomisation and bootstrapping: the quick way to inference

Use of student response systems in teaching statistics at the university level

Rank-based inference, association measures and nonparametric statistics

Exchanging pedagogy between post-secondary and secondary school statistics courses

We know you need to know statistics, do you?

Opening up the data world wider and faster

Topic 5: Statistics education in the disciplines and the workplace

Evidence-based policy making

Evidence-based management

Development of statistical thinking in the workplace

Mentoring young statisticians in the workplace

Bridging the gap between current statistical practice in the workplace and modern statistics

In search of evidence: exploring the relationship between real workplace based data and statistics education

Topic 6: Innovation and reform in teaching probability within statistics

Bayesian inference (probability) goes to school: meanings, tasks and instructional challenges

Probability and p-values — probing the problems

Interdisciplinarity and innovation

Teaching probability to future teachers of mathematics and statistics

Modeling distributions to connect chance processes, data production, and data distributions

Teachers’ awareness of conceptual connections between probability and statistics

Topic 7: Statistical literacy in the wider society

Statistical literacy beyond the classroom

Statistical literacy requirements for teachers

Assessment of statistical literacy

Developing statistical literacy: Case studies and lessons learned

Factors that affect statistical literacy

Factors that affect statistical literacy II

Topic 8: Research in statistics education

Research on developing students’ reasoning using simulation methods for introductory statistical inference: Session I

Research on developing students’ reasoning using simulation methods for introductory statistical inference: Session 2

Research on developing students’ informal statistical inferential reasoning

Research on developing students’ statistical reasoning

Research on developing students’ probabilistic reasoning

Research on professional development of teachers in statistics

Theoretical frameworks in statistics education research

Research on risk literacy

Research on technology in statistics education

Topic 9: Technology in statistics education

The design of digital tools and technology-enhanced learning environments for teaching statistics

Modeling, randomization and simulation tools for connecting data and chance

The emerging concepts of “data science” and “big data” for educational purposes

E-learning, E-teaching and E-assessment in fully online, blended and open virtual web-based courses

Supporting teachers’ use of new statistics technology in their classrooms and development of their technological-pedagogical content knowledge

Technology for developing statistical thinking, reasoning, and literacy

Educational software for helping students learn statistics

Topic 10: Innovative collaboration in statistics education

Collaborations between Statistics agencies and academia (schools/universities/colleges)

Collaboration among countries

Research projects collaborations

Contributed papers