CAUSE February 2023

cause@causeweb.org

4 participants
6 discussions

Final Submission Deadline March 5th! USCOTS 2023 - Posters and Beyond

by Judith Canner

We invite submissions to the *Posters and Beyond *sessions at the U.S. Conference on Teaching Statistics (USCOTS) <https://www.causeweb.org/cause/uscots/uscots23/>, which will be held in State College, PA from June 1-3, 2023. The USCOTS theme for 2023 is "*Communicating with/about Data*." Deadline for submitting a proposal <https://www.causeweb.org/cause/uscots/uscots23/proposals> for a *"posters and beyond"* contribution is *March 5th, 2023* for final submission of proposals for a "posters and beyond" contribution, whether or not you submitted a version earlier for feedback *What is a "Poster" and what is "Beyond"?* For "Posters," you will provide information on an activity, teaching method, or research on statistics/data science education that has support or evidence for efficacy in the classroom. Examples of evidence may include - Institutional Course Evaluations - Pre/Post Surveys or Assessments - Focus Groups - Qualitative Feedback from Students - Measures of Student Learning This is a great opportunity to disseminate your findings (and get feedback) from the statistics and data science community. For "Beyond", you will focus on how to incorporate a demonstration, activity, or method into the classroom, and how you assess (formative or summative) it. While there should be the *potential* for efficacy, evidence is not expected or necessary. This is a great opportunity to share that "cool thing" you do with others in the statistics and data science community. You can find more information about the proposal submission here: https://www.CAUSEweb.org/cause/uscots/uscots23/proposals <https://www.causeweb.org/cause/uscots/uscots23/proposals> Please address questions about the *Posters & Beyond* sessions to Judith Canner (jcanner(a)csumb.edu). -- Dr. Judith E Canner Professor of Statistics Statistics Program Coordinator Department of Mathematics and Statistics California State University, Monterey Bay 100 Campus Center Seaside, CA 93955

1 year, 1 month

Statistics Position Available

by Taylor, Kati

LECTURER The Department of Statistics at the University of Florida seeks qualified applicants for one 9-month academic year lecturer renewable positions to begin in August 2023. Primary duties include the teaching of undergraduate statistics courses for statistics majors and undergraduate courses for data science majors offered by the Department of Statistics. Interest in online teaching is a plus. The department currently is home to both a statistics major and a data science major. The role of lecturers is highly valued by the department and the university. To encourage and facilitate their professional development, lecturers at the University of Florida are eligible for promotion through the ranks of Lecturer, Senior Lecturer, and Master Lecturer. Salary is competitive, commensurate with qualifications and experience and includes a full benefits package. Opportunities for summer teaching are likely. The Department is committed to creating an environment that affirms diversity across a variety of dimensions, including ethnicity/race, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service. The university and greater Gainesville community enjoy a diversity of cultural event, restaurants, year-round outdoor recreational activity, and social opportunities. For full consideration, applications must be submitted online at https://explore.jobs.ufl.edu/en-us/job/519550/lecturer-in-statistics<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fexplore.j…> and must include: (1) a letter summarizing the applicant's qualifications and interests in the Department, (2) a complete curriculum vitae including statistics teaching background and experience, (3) a link to a short (5-10 minute) instructional video prepared by the applicant on a topic of his or her choice, and (4) three confidential letters of recommendation. A PhD in Statistics (or related field) is preferred. Applications will be reviewed as received and the position will remain open until filled. To ensure full consideration, application materials should before they will be reviewed. All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education. Send email inquiries to lecturersearch(a)stat.ufl.edu. The final candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES). The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff. Searches are conducted in accordance with Florida's Sunshine Law. If an accommodation due to disability is needed to apply for this position, please call (352) 392-2477 or the Florida Relay System at (800) 955-8771 (TDD).

1 year, 1 month

CAUSE Research Reading Group: March 1st, 2023

by Shu-Min Liao

Dear all, Happy Thursday! CAUSE Research Reading Group meetings continue! Our next meeting is scheduled on *Wednesday, March 1st*, at *2:00 – 3:00PM ET *(1 pm CT, noon MT, 11 am PT). Please find the link for registration and the link to the article below. delMas, R., Garfield, J., Ooms, A., & Chance, B. (2007). Assessing students’ conceptual understanding after a first course in statistics. Statistics Education Research Journal, 6(2), 28-58. https://doi.org/10.52041/serj.v6i2.483 Zoom: Register in advance for this meeting: https://ufl.zoom.us/meeting/register/tJIlduigqjguE9TytfHrPsAUxNH2aOLdbiWB After registering, you will receive a confirmation email containing information about joining the meeting. Our host for this session will be Kelly Findley (thank you so much, Kelly!). We are still looking for an interested volunteer to host our session on *April 5th*. If your schedule permits, please consider hosting this session. As the host, you can choose one of the suggested articles on the list (see our full schedule here <https://docs.google.com/document/d/1JgQWdNAdRMsdVEHfpiAdppiWmaRFZul2NEUPO4h…>) *OR bring an article related to *“*Assessment in Statistics Education*” *that you would like to discuss with the group,* and propose 4 to 5 questions to get the conversation started from the article you pick. Please don’t hesitate to let me or Megan know if you have any questions about hosting a session or participating in this reading group. 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!* Look forward to having you join us next Wednesday, Shu-Min & Megan

1 year, 1 month

Exploring the Use of Statistics Curricula with Annotated Lesson Notes

by Taylor, Kati

Exploring the Use of Statistics Curricula with Annotated Lesson Notes Tuesday, February 21, 2023 4:00 pm – 4:30 pm ET Presented by: Liz Arnold (Colorado State University) and Jennifer Green (Michigan State University) Abstract: This month, in the CAUSE (Consortium for the Advancement of Undergraduate Statistics Education) / JSDSE (Journal of Statistics and Data Science Education) webinar series, we highlight the article, Exploring the Use of Statistics Curricula with Annotated Lesson Notes. In K–12 statistics education, there is a call to integrate statistics content standards throughout a mathematics curriculum and to teach these standards from a data analytic perspective. Annotated lesson notes within a lesson plan are a freely available resource to provide teachers support when navigating potentially unfamiliar statistics content and teaching practices. In their research, Dr. Green and Dr. Arnold identified several types of annotated lesson notes, created two statistics lesson plans that contained various annotated lesson notes, and observed secondary mathematics teachers implement the lesson plans in their intermediate algebra courses. They then investigated how two teachers’ instructional actions compared to what was prescribed in the annotated lesson notes. They found ways in which the teachers’ instructional actions, across their differing contexts, aligned with, varied from, or adapted to the annotated lesson notes. During the webinar they will outline their research and highlight affordances and limitations of annotated lesson notes for statistics instruction, as well as offer recommendations for those who create statistics curricula with annotated lesson notes. Article: https://www.tandfonline.com/doi/full/10.1080/26939169.2022.2099486<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.tandf…> The webinar is free but pre-registration is required: please sign up at: https://psu.zoom.us/webinar/register/WN_33wQaeKwTu6V_KEHcdLLNA [https://psu.zoom.us/w_p/92526649588/c35d95a2-a608-4bc5-8022-90b37229781a.png]<https://psu.zoom.us/webinar/register/WN_33wQaeKwTu6V_KEHcdLLNA> Welcome! You are invited to join a webinar: Exploring the Use of Statistics Curricula with Annotated Lesson Notes. After registering, you will receive a confirmation email about joining the webinar.<https://psu.zoom.us/webinar/register/WN_33wQaeKwTu6V_KEHcdLLNA> Presented by: Liz Arnold (Colorado State University) and Jennifer Green (Michigan State University) Abstract:This month, in the CAUSE (Consortium for the Advancement of Undergraduate Statistics Education) / JSDSE (Journal of Statistics and Data Science Education) webinar series, we highlight the article, Exploring the Use of Statistics Curricula with Annotated Lesson Notes. In K–12 statistics education, there is a call to integrate statistics content standards throughout a mathematics curriculum and to teach these standards from a data analytic perspective. Annotated lesson notes within a lesson plan are a freely available resource to provide teachers support when navigating potentially unfamiliar statistics content and teaching practices. In their research, Dr. Green and Dr. Arnold identified several types of annotated lesson notes, created two statistics lesson plans that contained various annotated lesson notes, and observed secondary mathematics teachers implement the lesson plans in their intermediate psu.zoom.us Please join us! Leigh Johnson JSDSE Webinar Coordinator

1 year, 2 months

next CAUSE Research Reading Group - Wed. Feb. 15th

by Mocko,Megan E

Hi everyone, I hope that everyone is having a wonderful February. Next Wednesday, we will continue with the topic "Assessment in Statistics Education", and the second article we will read is: Ziegler, L., & Garfield, J. (2018). Developing a statistical literacy assessment for the modern introductory statistics course. Statistics Education Research Journal, 17(2), 161-178. https://iase-web.org/ojs/SERJ/article/view/164/70 We will meet at 2 pm ET (1 pm CT, noon MT, 11 am PT) on Wednesday, February 15th, 2023. https://ufl.zoom.us/meeting/register/tJMtfuyoqjopE9LbyAT4pEQGXf_Dtco98gQ3 After registering, you will receive a confirmation email containing information about joining the meeting. You can find the complete schedule for the next three months February - April (under this topic) here<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…>. Like last year, we are inviting and strongly encouraging interested participants to host one article or two of their own choice in the new year. We have two openings in April! Many of our past hosts (including ourselves) found this a very valuable experience, so please consider hosting a meeting for the group. As the host, you can choose one of the suggested articles on the list OR bring/suggest an article related to this topic that you would like to discuss with the group and propose 4 to 5 questions to get the conversation started from the article you pick. Please don't hesitate to let me or Shu-Min know if you have any questions about hosting a session or participating in this reading group. Don't worry if you didn't attend our meetings last year. All meetings are independent from each other, so please join us if you are interested. All are welcome! Look forward to seeing you on February 15th! Megan and Shu-Min Megan Mocko 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 341 PO Box 117169, Gainesville, FL 32611 WARRINGTON.ufl.edu

1 year, 2 months

The CAUSE Cartoon Caption Contest for January is now taking entries!

by Taylor, Kati

The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 81st 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 February 28 are at   https://www.causeweb.org/cause/caption-contest/february/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. Enjoy! [Image] January Results:   The January caption contest cartoon is shown here. The judges found the winning caption to be “Houston, we have an outlier,” written by Amelia Williams, a student at University of Toronto. Amelia’s funny caption can be used to discuss the importance of investigating and understanding the outliers in data sets. An honorable mention goes to Peter Karen from Radboud University for another outlier focused caption; “Next question: are you an outlier, or still in the same sample space as the rest of us?” Peter’s caption focuses more specifically on teaching about how outliers may be the result of a different data generating mechanism. A second honorable mention this month goes to Julia Gray, a student at Strath Haven High School for her caption “Diversity in a sample is important! How far will you go …?” Julia’s caption is intended to spur conversation about the importance of capturing the make-up of the whole population in devising a sampling plan. Thanks to everyone who submitted a caption and congratulations to our winners!

1 year, 2 months

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CAUSE February 2023