This month, in the CAUSE (Consortium for the Advancement of Undergraduate Statistics Education) / JSDSE (Journal of Statistics and Data Science Education) webinar, we highlight the research article, Think-Aloud Interviews: A Tool for Exploring Student Statistical Reasoning, in our Journal of Statistics and Data Science Education webinar series. In the webinar, the presenters will discuss think-aloud interviews, in which students narrate their reasoning in real time while solving problems. Think-aloud interviews are a valuable but underused tool for statistics education research. In this webinar, the presenters suggest possible use cases for think-alouds and summarize best practices for designing think-aloud interview studies. They hope that their overview of think-alouds encourages more statistics educators and researchers to begin using this method.
Presented By: Alex Reinhart (Carnegie Mellon University), Ciaran Evans (Wake Forest University), and Amanda Luby (Swarthmore college.
Alex Reinhart is an Assistant Teaching Professor of Statistics and
Data Science at Carnegie Mellon University. His work has ranged
from spatiotemporal data analysis to large-scale COVID surveys,
and he is interested in statistical pedagogy and course design.
Ciaran Evans is an Assistant Professor of Statistics at Wake
Forest University. He is interested in statistical education and
pedagogy, and enjoys collaborating with other educators on
teaching and research.
Amanda Luby is an Assistant Professor of Statistics at Swarthmore
College. She works on statistical methods for understanding
complex decision-making, and is also interested in statistics
education research and practice.
The webinar will take place on June 28th, from 4:00-4:30pm EDT.
Registration is required but is free:
We hope that you can join us for an informative discussion.
Leigh Johnson (Capital University)
Moderator, CAUSE/JSDSE Webinar Series
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 73rd Cartoon Caption Contest (yes – now into our seventh year)! Each month a cartoon, drawn by British cartoonist John Landers, is posted for you and your students to suggest statistical captions (cartoons are posted at the beginning of the month and submissions are due at the end of the month). The caption contest is offered as a fun way to get your students thinking independently about statistical concepts.
The next cartoon and the entry rules for the contest ending June 30 are at
The best submission will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the final cartoon.
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The May caption contest cartoon is shown here. Of the 42 entries in May, the judges found the winning caption to be “The consequences of cutting corners in designing an experiment don’t show up until the end," written by Jim Alloway from the EMSQ Associates. Jim’s caption highlights the importance of details in designing an experiment that have important repercussions for one’s ability to interpret the results. Honorable mentions this month go to Elise Lahiere, a student at Montclair State University for her caption “While he managed to limit his variance from the target, Bob realized his mistake upon landing,” and to Paul Stephenson of Grand Valley State University for his caption “Good estimation requires more than speed and confidence.” Both of these invite classroom conversation about the contrast between aspects that affect the margin of error of an estimate and other components of a research protocol such as the validity of measures and ability to generalize to the population of interest.
Thanks to everyone who submitted a caption and congratulations to our winners!
CAUSE Research is hiring a part-time Graduate Research Assistant this summer. A current PhD student with demonstrated interest in statistics education research is strongly preferred. Position until filled, excerpt of position description below. Would you please share the following advertisement in your network?
Questions about the position or the application process can be directed to me (Matt; mdb268(a)psu.edu)
Applicants: please visit https://hr.psu.edu/careers >> choose “Staff & Technical Service” >> search “Req #0000031210”
All the best,
Associate Research Professor | Penn State University
co-Associate Director for Research | CAUSE (www.causeweb.org)
JOB DESCRIPTION AND POSITION REQUIREMENTS:
The Consortium for the Advancement of Undergraduate Statistics Education is a national organization whose mission is to support the advancement of undergraduate statistics education (www.causeweb.org<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.causew…>). We seek to hire a graduate student as part-time Research Assistant for the Summer 2022, academic period.
The research assistant will assist CAUSE Research leadership to assist efforts on revamping the resources on the website and support infrastructure for all who would like to get involved in Statistics and Data Science Education Research. Such infrastructure may include, but is not limited to: (*) clearinghouse of information about grants awarded for statistics education research from various funding bodies & tools for researchers who wish to access such funding themselves; (*) infrastructure to connect research participants to statistics education researchers leveraging the existing CAUSE Institutional Member pool; (*) resources to connect researchers to relevant materials across related disciplines such as special interest groups across professional organizations (e.g., ASA SDSE Section, MAA RUME, ACM SIGCSE, IASE) and associated conferences, journals (including special issues), and resources; (*) curated literature “playlists” to give recommendations for start-up reading on various topics–e.g., 6-8 papers including seminal works and major milestones related to significant research topics in statistics education, major works by prolific authors and thought leaders in the field, etc. The research assistant will work closely with CAUSE personnel including the interim Research Page Curator, webmaster, and Associate Directors for Research. Hours, wage, and anticipated period of employment are variable.
Qualifications include: (*) Demonstrated interest in research closely related to statistics education or data science education, (*) familiarity with statistics & data science education research, literature, conferences, etc., (*) strong preference for PhD candidate or recent PhD graduate, (*) reliable, independent worker, (*) available to meet/collaborate remotely during business hours in Eastern (UTC -4:00) and Atlantic (UTC -3:00) time zones.
To apply, please visit https://hr.psu.edu/careers >> choose “Staff & Technical Service” >> search “Req #0000031210”