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Anna-Marie Fergusson (The University of Auckland) presented a workshop and webinar on Statistical Reasoning with Data Cards.

“Using data cards in the teaching of statistics can be a powerful way to build students’ statistical reasoning. Important understandings related to working with multivariate data, posing statistical questions, recognizing sampling variation and thinking about models can be developed. The use of real-life data cards involves hands-on and visual-based activities.”

Anna’s work using physical data cards and digital technology supports pedagogy required to effectively teach statistical reasoning. This talk presented material from the Meeting Within a Meeting (MWM) Statistics Workshop for Mathematics and Science teachers held at JSM Chicago (2016) which can be used in classrooms to support teaching statistical thinking and reasoning, key teaching and learning ideas that underpin the activities were also discussed.

Download the webinar accompanying files

Please share this excellent resource widely with your teaching colleagues and post any feedback you have about the resources or webinar.

Dear Awesome Teacher of Statistics

Have you heard of the Teaching Statistics Through Data Investigation MOOC for Educators? We continue to serve teachers from across the globe and have over 400 participants in the current session (open until June 30, 2017). Need a refresher? join us–it is still free!

Yearning for more??? Well I’d like to share a few opportunities and resources.

1. We will launch a SECOND Teaching Statistics course Fall 2017!  This course is a follow-up to TSDI and specifically focuses on Teaching Statistics Through Inferential Reasoning.  See the course description and outline here. If you have a favorite task, or online app, or video or other resource that helps you teach students to reason about using data and statistical ideas to make generalizations (informally or formally) beyond the data, we would love to feature some of your ideas in the new course (credited to you of course!)!  Please complete this brief form and upload (or provide links to) your favorite resources.

2. Learn about our new initiative for being a Hub for Innovation and Research in Statistics Education [http://hirise.fi.ncsu.edu/] and join our Facebook community so we can stay connected. https://www.facebook.com/groups/hirise.fi/

3. If you have not seen the Stats4Stem website, check it out!  It is a fantastic website full of resources for statistics teachers and their students to assist with teaching, learning, and assessment in statistics. http://www.stats4stem.org/

4. Want a free online tool for exploratory data analysis! Check out the ever-improving CODAP tool at http://codap.concord.org/

5. If you are interested in pursuing a graduate degree in statistics or mathematics education at NC State, check out  our PhD and Masters degrees! Not able to move to Raleigh?? Then consider the 12 credit (4 classes) online graduate certificate in Statistics Education! I’d love to continue learning with you!

Thank you for your continued commitment to making the world a better place through statistics and data literacy. Together we make a difference.

Many Smiles,

Hollylynne Lee

Professor, Mathematics and Statistics Education
University Faculty Scholar
Department of Science, Technology, Engineering, and Mathematics Education
Faculty Fellow, Friday Institute for Educational Innovation
NC State University
Thursday, March 16, 2017 12:00:00 PM NZDT – 1:00:00 PM NZDT

What can we learn from large-scale national and international assessments? NCTM President Matt Larson will discuss in more detail his January President’s Message. Join us  as he provides a combined analysis of the results from the National Assessment for Educational Progress (NAEP) scores, the Trends in Mathematics and Science Study (TIMSS), and the 2015 Programme for International Student Assessment (PISA), and recommends actions that we can take together.

Register here for free at NCTM

Message from NZAMT received from NZQA 13th October regarding the 2016 External Examinations for AS1.3, 1.6 and 1.12:

We have had notification from NZQA that they believe schools will find the Level 1 examination papers for November consistent with their expectations and recent previous assessment of the identified standards.  Hence schools can confidently use recent past NZQA examinations  (since the 2011 realignment of L1 standards) in preparing their students for the external examinations.

Posted by Derek Smith

Future Learn are offering a new online course combining coding and data analysis skills.

“Software and data make the world go round.” Learn programming, to analyse and visualise open data, with this free online course that starts on the 10th of October.

Share this with students or colleagues that have one or both of these topics as an interest. The coding language is Python.

Learn more and sign up.

A webinar for you or your students, brought to you by the American Statistical Association.

Statisticians and data scientists are employed by all types of organizations, including professional sports teams. Join the AMA sports analytics webinar to learn what sports statisticians do and what education is required to become the “Bill James” of your favorite sport.

View the webinar details here. Remember to set your alarm!

Want to get a handle on BIG data? A course for scholarship students?

The Queensland University of Technology is offering a free online PD course. Get a practical insight into big data – and popular tools for collecting, analysing and visualising it.

Find out more

Term 2 News

Kia ora Statistics teachers.

We hope you are enjoying teaching students to discover stories in data, and to practice their statistical literacy skills.

Skills in statistics will be invaluable now and in the future, check out The beauty of data visualization then see New Zealand clearly.

Term 2 Updates:

Nga Mihi

The CensusAtSchool team

 

 

See how your students could soon be using statistics and models to predict the future.

There are examples of statistical careers and what statisticians have done to help solve problems with data.

The future of prediction

 

Some ideas to help students reach their statistics and statistical literacy learning goals:

Primary and Intermediate:

Secondary:

  • Fathom & iNZight: Technology for secondary statistics teaching.
  • Herald article: on careers in statistics.
  • A framework for thinking about informal statistical inference. (Makar, K. & Rubin, A., 2009) Professional reading:
  • Figure: Lillian Grace was the plenary speaker at both Canterbury and Auckland Statistics Teachers day. The Figure site allows everyone be an explorer and user of data. If you or your students want data to answer a burning question this is the place to contact.
  • 2015/16 Census: Have all your classes been involved? Experiencing the census at all levels of the curriculum is important for students to demonstrate that they are “managing variation” and are involved in every aspect of data collection and creation.
  • Statistical displays: What about  running a poster competition for Statistics week?!  Below are some examples from oversea’s, how can we improve on these?
  • Tour Aotearoa live! Robyn Headifen has suggested following the cycling so much much great data!

What other ideas do you have?

How are you linking with your colleagues in other subjects? How do they approach statistical literacy and use statistics in scientific (both social and the physical sciences) investigations?

Do you have an Investing in Educational Success IES project to share or would like to begin? Also let us know of any cool Stats Apps you’re using with your students.

Finally, a big thanks to teachers who are using the share resources function on CAS.

Nga mihi

The CensusAtSchool Team