Dear all,
Happy Monday & we hope you had a wonderful thanksgiving break last week!
CAUSE Research Reading Group meetings continue! Our next meeting is
scheduled on *Friday, December 1st*, at *3:00-4:00PM ET* (2-3pm CT, 1-2pm
MT, 12-1pm PT). Please find the link for registration and the link to the
article below.
Tunstall, S. L. (2018). Investigating College Students' Reasoning With
Messages of Risk and Causation. Journal of Statistics Education, 26(2),
76-86. https://doi.org/10.1080/10691898.2018.1456989
Zoom: Register in advance for this meeting:
https://ufl.zoom.us/meeting/register/tJIlfu2urDkiH9DYN6PVxeZbr3p4fmDt9Q3H
Our host for this session will be *Federica Zoe Ricci* (thank you so much,
Federica!). After registering, you will receive a confirmation email
containing information about joining the meeting. Don’t worry if you
haven’t participated in our previous meetings yet. All meetings are
independent from each other, so please join us if you are interested. All
are welcome!
As always, please don’t hesitate to reach out to Shu-Min or Megan if you
have any questions or suggestions.
*About Year 2024*: This is going to be our last session in 2023 and there
will be no meeting in the third week of December. Megan and I are
considering continuing this research reading group & welcome your feedback,
suggestions, and comments. Please share your thoughts with us on December 1
st, or via email. We are particularly interested in knowing what “themes”
or “topics” you would like to read and discuss with the others. We will
send out more information about this reading group in mid-December.
Look forward to having you join us on Friday,
Shu-Min & Megan
Dear All,
We are actively seeking volunteers to participate as judges for the upcoming round of the Undergraduate Statistics Project Competition (USPROC)<https://www.google.com/url?q=https://www.google.com/url?q%3Dhttps://www.cau…>. Twice a year, students have the opportunity to submit written projects from statistics/data science courses or capstone projects. The judging process would begin in January, following the December 20th submission deadline.
Would you be willing to serve as a judge for this round of submissions? If so, please sign up using the following link:
https://forms.gle/qHDNaX7h9YxESi239<https://www.google.com/url?q=https://www.google.com/url?q%3Dhttps://forms.g…>
Based on the typical number of submissions, judging should not amount to more than 6 hours of work. It is done independently, with some e-mail discussion (when needed) to decide on prizes. To provide you with a timeline overview, we would send you projects to score in January 2024 and allow about a month to complete the judging. Each project is scored by multiple judges. If you are able to help, we will send further instructions closer to the submission deadline. Thank you in advance for your consideration!
If you have colleagues who teach undergraduate statistics courses or who advise undergraduate statistics research, please share the information in this email with them. Your assistance in spreading the word about the USPROC competition and the opportunity to serve as a judge is highly appreciated!
Best, the USPROC & eUSR Co-Chairs,
Jennifer Ward (Clark College)
Juanjuan Fan (San Diego State University)
Ciaran Evans (Wake Forest University)
Monika Hu (Vassar College)
Shaoyang Ning (Williams College)
Title: Implementation of Alternative Grading Methods in a Mathematical Statistics Course
Tuesday, November 21, 2023 4:00 - 4:30 pm EST
Presented by: Brenna Curley, Moravian University and Jillian Downey, Gustavus-Adolphus College
Abstract: In this November edition of the JSDSE/CAUSE webinar series, we highlight the 2023 article: Implementation of Alternative Grading Methods in a Mathematical Statistics Course. The authors will discuss how alternative grading methods, such as standards-based grading, provide students multiple opportunities to demonstrate their understanding of the learning outcomes in a course. These grading methods allow for more flexibility and help promote a growth mindset by embracing constructive failure for students. Implementation of these alternative grading methods requires developing specific, transparent, and assessable standards. The authors will also discuss that moving away from traditional methods requires a mindset shift for how both students and instructors approach assessment. While providing multiple opportunities is important for learning in any course, these methods are particularly relevant to an upper-level mathematical statistics course where topics covered often provide an additional challenge for students as they lie at the intersection of both theory and application. By providing multiple opportunities, students have the space for constructive failure as they tackle learning both a conceptual understanding of statistics and the supporting mathematical theory. In this webinar the authors will share their experiences—including both challenges and benefits for students and instructors—in implementing standards-based grading in the first semester of a mathematical statistics course (i.e., focus primarily on probability).
Article Link: https://www.tandfonline.com/doi/full/10.1080/26939169.2023.2249956
The webinar is free but pre-registration is required. Please sign up at: https://www.causeweb.org/cause/webinar/jsdse/2023-11
Please join us!
Leigh Johnson
Hi everyone,
Happy Friday! CAUSE Research Reading Group meetings continue! Our next meeting is scheduled for Friday, November 17th, at 3 pm ET (2 pm CT, 1 pm MT, noon PT). Please find the link for registration and the link to the article below.
ZAPATA-CARDONA, L. U. C. I. A. (2023). THE ROLE OF CONTEXTS IN SUPPORTING EARLY STATISTICAL REASONING IN DATA MODELING. STATISTICS EDUCATION RESEARCH JOURNAL, 22(2), 5-5. https://iase-web.org/ojs/SERJ/article/view/448/485
Zoom: Register in advance for this meeting: https://ufl.zoom.us/meeting/register/tJIof-CrpzwsEtyIDIHIgZrxb0bfhP7hGRkM
After registering, you will receive a confirmation email containing information about joining the meeting.
Our host for this article will be Megan Mocko.
Don't worry if you haven't participated in our previous meetings yet. All meetings are independent of each other, so please join us if you are interested. All are welcome!
Look forward to having you join us next Friday,
Megan & Shu-Min
Megan Mocko
(she/her/hers)
Lecturer
Information Systems and Operations Management
WARRINGTON COLLEGE OF BUSINESS
UNIVERSITY OF FLORIDA
____________________________
352-392-9731
Megan.Mocko(a)warrington.ufl.edu<mailto:Megan.Mocko@warrington.ufl.edu>
Stuzin Hall 351B
PO Box 117169, Gainesville, FL 32611
WARRINGTON.ufl.edu
[cid:image005.jpg@01D3D18E.A16AD250]
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 90th Cartoon Caption Contest! 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 November 30 (intended as a great activity leading into the Thanksgiving break) are at
https://www.causeweb.org/cause/caption-contest/november/2023/submissions
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 or free registration to eCOTS2024.
[cid:b0d07ab9-6823-412d-9f6e-b7d66853f03a]
Enjoy.
October Results:
The October caption contest cartoon is shown above. The judges found the winning caption to be “When the climate plays dice, even the skiers can't predict the variation in snowfall!” submitted by Ian Bang, a student at the Friends Seminary in New York City. Ian’s caption is intended to emphasize the theme that whether we're looking at climate data or any other field, recognizing and managing variation is key to drawing meaningful insights from data and making reliable forecasts. An honorable mention this month goes to Larry Lesser from The University of Texas at El Paso for his caption: “Fall predictions of late spring ski conditions are dicey!,” that can be used to remind students of the increasing uncertainty when making predictions farther into the future.
Thanks to everyone who submitted a caption and congratulations to our winners!
The Consortium for the Advancement of Undergraduate Statistics Education (CAUSE) is now accepting nominations for the George Cobb Lifetime Achievement Award in Statistics Education, to be presented by CAUSE at ECOTS 2024. This award is presented at ECOTS or USCOTS to an individual who, over an extended period of time, has made lasting contributions with broad impact to the field of statistics education especially, but not limited to, the teaching and learning of college-level statistics. Nominations are due by March 1, 2024 (rules here<https://www.causeweb.org/cause/lifetime/2024/rules>).
Hi Everyone,
Sharing a couple job openings in the Netherlands, as requested; please contact Prof Lonneke Boels if you have any questions.
All the best,
Matt
Dr. Matthew Beckman
Chair of Undergraduate Curricula
Statistics Dept—421C Thomas Bldg
From: Lonneke Boels <lonneke.boels(a)hu.nl>
Date: Thursday, October 26, 2023 at 9:11 AM
To: Beckman, Matthew D <mdb268(a)psu.edu>
Subject: RE: For on the website(s) you are responsible for
Hi Matt,
Could you forward the following two job announcements?
Medior researcher mathematics/statistics education/numeracy
Do you think it is important that mathematics and statistics education matches future needs? Would you like to put numeracy in the spotlight? Do you like doing research that connects to practice? We are looking for two researchers with a master degree and several years of experience. You are eager to combine practice-based research with work and experience in the field of statistics and mathematics teachers (education). Or you have a background as a caregiver, social worker, debt relief worker, and so on, in short, anyone who comes into contact with citizens within their profession. Many more details, including email addresses, can be found here: https://hogeschoolutrecht.easycruit.com/vacancy/3248751/144669 Please, submit your application through the website before November 5, 23:59 CET. Lonneke Boels, acting professor
Senior researcher numeracy (education)
Come and join our research group as a senior researcher and contribute to promoting numeracy among citizens and professionals. We are looking for a researcher eager to combine practice-based research and primary teacher training. A relevant PhD is required for this position. Many more details, including email addresses, can be found here: https://hogeschoolutrecht.easycruit.com/vacancy/3248715/144669 Please, submit your application through the website before November 5, 23:59 CET. Lonneke Boels, acting professor
Best wishes,
Lonneke
________________________________________________________________________________________________
Dr. ir. Lonneke Boels | Acting professor research group Mathematical and Analytical Competence of Professionals | Knowledge Centre Learning and Innovation | Utrecht University of Applied Science | Padualaan 97 | 3584 CH Utrecht | tel. +31 6 432 89 143 | https://www.researchgate.net/profile/Lonneke_Boels | Available on Wed-Thur-Fri | linkedin.com/in/lonneke-boels-88055618<https://www.linkedin.com/in/lonneke-boels-88055618>
NEW: Histograms. An educational eye. https://dspace.library.uu.nl/handle/1874/430641
NEW: About my dissertation: https://www.uu.nl/en/news/new-teaching-materials-improve-statistical-numera…
NEW: Boels, L., Garcia Moreno-Esteva, E., Bakker, A., & Drijvers, P. (2023). Automated gaze-based identification of students’ strategies in histogram tasks through an interpretable mathematical model and machine learning. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00368-9
NEW: Boels, L., Lyford, A., Bakker, A., & Drijvers, P. (2023). Assessing students’ interpretation of histograms before and after interpreting dotplots: A gaze-based machine learning analysis. Frontline Learning Research. https://doi.org/10.14786/flr.v11i2.1139
NEW: Boels, L., & Van Dooren, W. (2023). Secondary school students interpreting and comparing dotplots: An eye-tracking study. In M. Ayalon, B. Koichu, R. Leikin, L. Rubel & M. Tabach (Eds.). Proceedings of the 46th Conference of the International Group for the Psychology of Mathematics Education (Vol. 2, pp. 123–130). PME. https://www.researchgate.net/publication/372448356_Secondary_school_student…
NEW: Boels, L., Alberto, R. & Shvarts, A. (2023). Actions behind mathematical concepts: A logical-historical analysis. Paper presented at the 13th Congress of the European society for Research in Mathematics Education. https://www.researchgate.net/publication/372448364_Actions_behind_mathemati…
Introducing density histograms to Grades 10 and 12 students: Design and tryout of an intervention inspired by embodied instrumentation. https://doi.org/10.1007/978-3-031-29459-4_14
Reflections on gaze data in statistics education. https://doi.org/10.1111/test.12340
Machine learning applied to eye-tracking data: https://iase-web.org/icots/11/proceedings/pdfs/ICOTS11_272_LYFORD.pdf
Research report: Interpreting and understanding contemporary information sources [Het interpreteren en begrijpen van hedendaagse informatiebronnen]. In Dutch. HU, UU, ECBO/CINOP. https://mbo.sites.uu.nl/ve-onderzoek-voorjaar-2022-interpreteren-en-begrijp…
Van: Beckman, Matthew D <mdb268(a)psu.edu>
Verzonden: Monday, October 2, 2023 11:03 PM
Aan: Lonneke Boels <lonneke.boels(a)hu.nl>
Onderwerp: Re: For on the website(s) you are responsible for
LET OP: Deze e-mail komt van een afzender buiten de HU. Klik niet op links en bijlagen als de afzender niet bekend of vertrouwd is. Caution: This email is from a sender outside HU. Do not click on links and attachments if the sender is not known or trusted.
Hi Lonnecke,
I would basically just forward whatever you’d like about the postdoc position.
Do you want a description of any kind in the body of the email that I pass along? I think a note from you helps get more attention than if I try to come up with something on your behalf.
Thanks and congratulations on defending your dissertation! I’ve just taken care of it, so please take a look and let me know if you suggest any changes.
All the best,
Matt
Dr. Matthew Beckman
Chair of Undergraduate Curricula
Statistics Dept—421C Thomas Bldg
From: Lonneke Boels <lonneke.boels(a)hu.nl<mailto:lonneke.boels@hu.nl>>
Date: Monday, October 2, 2023 at 9:18 AM
To: Beckman, Matthew D <mdb268(a)psu.edu<mailto:mdb268@psu.edu>>
Subject: For on the website(s) you are responsible for
You don't often get email from lonneke.boels(a)hu.nl<mailto:lonneke.boels@hu.nl>. Learn why this is important<https://aka.ms/LearnAboutSenderIdentification>
Dear Matt,
How are you doing? I just had holidays after my defense which was great.
In Australia (SRTL) you mentioned that you could post the postdoc position we have on a website.
Could you please post this position: https://www.hu.nl/werkenbij/vacatures/postdoctoral-researcher-eye-tracking-…
In addition, my dissertation is ready.
I will send it to you (for on the IASE website) in a separate email.
Best wishes,
Lonneke
________________________________________________________________________________________________
Dr. ir. Lonneke Boels | Acting professor research group Mathematical and Analytical Competence of Professionals | Knowledge Centre Learning and Innovation | Utrecht University of Applied Science | Padualaan 97 | 3584 CH Utrecht | tel. +31 6 432 89 143 | https://www.researchgate.net/profile/Lonneke_Boels | Available on Wed-Thur-Fri | linkedin.com/in/lonneke-boels-88055618<https://www.linkedin.com/in/lonneke-boels-88055618>
NEW: Histograms. An educational eye. https://dspace.library.uu.nl/handle/1874/430641
NEW: About my dissertation: https://www.uu.nl/en/news/new-teaching-materials-improve-statistical-numera…
NEW: Boels, L., Garcia Moreno-Esteva, E., Bakker, A., & Drijvers, P. (2023). Automated gaze-based identification of students’ strategies in histogram tasks through an interpretable mathematical model and machine learning. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00368-9
NEW: Boels, L., Lyford, A., Bakker, A., & Drijvers, P. (2023). Assessing students’ interpretation of histograms before and after interpreting dotplots: A gaze-based machine learning analysis. Frontline Learning Research. https://doi.org/10.14786/flr.v11i2.1139
NEW: Boels, L., & Van Dooren, W. (2023). Secondary school students interpreting and comparing dotplots: An eye-tracking study. In M. Ayalon, B. Koichu, R. Leikin, L. Rubel & M. Tabach (Eds.). Proceedings of the 46th Conference of the International Group for the Psychology of Mathematics Education (Vol. 2, pp. 123–130). PME. https://www.researchgate.net/publication/372448356_Secondary_school_student…
NEW: Boels, L., Alberto, R. & Shvarts, A. (2023). Actions behind mathematical concepts: A logical-historical analysis. Paper presented at the 13th Congress of the European society for Research in Mathematics Education. https://www.researchgate.net/publication/372448364_Actions_behind_mathemati…
Introducing density histograms to Grades 10 and 12 students: Design and tryout of an intervention inspired by embodied instrumentation. https://doi.org/10.1007/978-3-031-29459-4_14
Reflections on gaze data in statistics education. https://doi.org/10.1111/test.12340
Machine learning applied to eye-tracking data: https://iase-web.org/icots/11/proceedings/pdfs/ICOTS11_272_LYFORD.pdf
Research report: Interpreting and understanding contemporary information sources [Het interpreteren en begrijpen van hedendaagse informatiebronnen]. In Dutch. HU, UU, ECBO/CINOP. https://mbo.sites.uu.nl/ve-onderzoek-voorjaar-2022-interpreteren-en-begrijp…
Good evening, all!
Posting on behalf of my colleague/department...
Dear all, starting Summer 2024, the Division of Biostatistics at the
University of Minnesota, in collaboration with the Masonic Institute for
the Developing Brain, will be hosting a 10-week Summer Research Experience
for Undergraduates (REU), called Equitable Data Science in Adolescent
Development
<https://www.sph.umn.edu/academics/institutes/equitable-data-science/>.
This 10-week REU is a paid, full-time position designed to give
undergraduate students hands-on training and research experience in data
science, statistical modeling and machine learning, and scientific
communication. Topics on diversity, equity, and inclusion (DEI), and their
role in data science form the foundations of this program, emphasized early
through DEI modules and discussions. Students will analyze data from the
Adolescent Brain Cognitive Development (ABCD) Study, the largest
longitudinal study on adolescent development in the United States.
Our website
<https://www.sph.umn.edu/academics/institutes/equitable-data-science/> contains
more details about the program. If you know any undergraduate students who
may be interested, please share this website with them, and please
encourage them to apply
<https://umn.qualtrics.com/jfe/form/SV_0dFvR51UxYpNJEG>. The deadline for
applications is *31 January 2024*.
If you have any questions about this program, please let me know (
mfiecas(a)umn.edu).
Thanks!
Mark
------------------------------
Mark Fiecas
University of Minnesota
------------------------------
Dear Colleagues,
We are delighted to share that the Program in Mathematics Education (PRIME), joint with the Departments of Computational Mathematics, Science, and Engineering (CMSE), Mathematics (MTH), and Statistics and Probability (STT), at Michigan State University is seeking two tenure system scholars at the Assistant, Associate, or Full Professor level with a focus in any of the following areas at the postsecondary level: Computing Education, Mathematics Education, Statistics Education, or overlapping and related disciplines.
For more information, please see the following job posting: https://careers.msu.edu/en-us/job/516442/assistantassociatefull-professor-t…
We hope that you will consider applying and/or will share this with others who might be interested in one of these positions. We are truly excited to find others to join our growing and dynamic community of STEM education scholars!
Best,
Jenny
___________________________________
Jennifer L. Green, Ph.D.
Associate Professor
Michigan State University
Program in Mathematics Education
Department of Statistics and Probability
Pronouns: she/her/hers
Dear all,
Happy Sunday! CAUSE Research Reading Group meetings continue! Our next
meeting is scheduled on *Friday, October 20th*, at *3:00-4:00PM ET* (2-3pm
CT, 1-2pm MT, 12-1pm PT). Please find the link for registration and the
link to the article below.
*Lesser & Pearl (fall 2023).* Visualizing statistical edutainment: What you
see is what you get, Teaching Statistics, 45(3), 131-142,
https://onlinelibrary.wiley.com/doi/10.1111/test.12355
<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fonlinelib…>.
Note that this article does require a subscription. If you don't have
access through your library, please consider an interlibrary loan. If you
don’t have access or contact Dennis Pearl at dkp13(a)psu.edu if you need a
copy of the article.
Zoom: Register in advance for this meeting:
https://ufl.zoom.us/j/94498389892?pwd=QWpmSmVVbUh0aFR0ZnhUWVAyM1V6UT09
Our host for this session will be Shu-Min Liao. After registering, you will
receive a confirmation email containing information about joining the
meeting. Don’t worry if you haven’t participated in our previous meetings
yet. All meetings are independent from each other, so please join us if you
are interested. All are welcome!
As always, please don’t hesitate to reach out to Shu-Min or Megan if you
have any questions or suggestions.
Look forward to having you join us this Friday,
Shu-Min & Megan