Please register for......... Statway: Results and Lessons Learned, Presented by: Ann Edwards (Carnegie Foundation for Advancement of Teaching) 02:00pm - 03:00pm Eastern Standard Time, October 11th, 2016
Link to register: https://www.causeweb.org
Abstract: Statway is an accelerated pathway for students who place into developmental mathematics that integrates college level introductory statistics with developmental mathematics learning outcomes. Developed by a network of practitioners and researchers organized by the Carnegie Foundation for the Advancement of Teaching, Statway has served over 11,000 students in more than 30 colleges and universities across the country since its launch in 2011. Statway students successfully complete their college level mathematics course credit at three times the rate of their peers in the traditional developmental sequence in half the time. This webinar will present the latest results, learning outcomes, and pedagogical approach of Statway, as well as lessons learned about the design and implementation of effective math pathways more generally.
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Logistics : The webinar will be conducted using the GoToWebinar software platform. A computer with internet access is all you need. GoToWebinar offers audio participation through your computer microphone.
All registered webinar attendees will receive a confirmation email generated by the GoToWebinar system upon registering. This email includes a link to enter the webinar. Keep this confirmation email as you will use this link to enter the webinar – you will also be sent a reminder with the link two hours before the webinar begins. Once you leave the webinar, you cannot re-enter. If you have not used GoToWebinar before, please review the information below. The webinar will be recorded and the archived version will be available on-line within a few days following the presentation, if you are unable to attend.
For PC-based participants:
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* Windows 8, 7, Vista, XP or 2003 Server.
* Cable modem, DSL, or better Internet connection.
* Dual-core 2.4GHz CPU or faster with 2GB of RAM or more.
* Participants wishing to connect to audio using VoIP will need a fast Internet connection, a microphone and speakers (or USB headset).
For Mac-based participants:
* Safari 3.0 or newer, Firefox 4.0 or newer or Google Chrome 5.0 or newer. JavaScript must be enabled.
* Mac OS X 10.6 – Snow Leopard or newer.
* Intel processor with 1GB of RAM or more.
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A workshop on teaching introductory statistics with simulation-based
inference will be conducted on Wednesday, November 16 in Denver,
immediately preceding the AMATYC Annual Conference. Presenters include
Beth Chance, Nathan Tintle, Rob Gould, and Allan Rossman. More
information can be found at:
https://www.causeweb.org/cause/workshop/amatyc16
The workshop is free, but advance registration (available on the same
webpage) is required. Registering for the AMATYC conference is not
required. Please direct questions to Allan Rossman ( arossman(a)calpoly.edu ).
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Allan J. Rossman
Professor and Chair
Statistics Department
Cal Poly
San Luis Obispo, CA 93407
arossman(a)calpoly.edu
http://statweb.calpoly.edu/arossman/
Ask Good Questions
All,
This is a reminder that submissions for the fifth Cartoon Caption Contest are due October 1. Each month a cartoon, drawn by British cartoonist John Landers, is posted for you and your students to suggest statistical captions. Generating a caption that's well aligned with a statistics learning objective might make a great extra credit assignment for your class.
The cartoon and the entry rules for the contest ending October 1 are athttps://www.causeweb.org/cause/caption-contest/october/2016/submissions
The best captions will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the cartoon or free registration to eCOTS 2018.
The CAUSE Cartoon Caption Contest for October is now taking entries
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our fifth Cartoon Caption Contest. Each month a cartoon, drawn by British cartoonist John Landers, will be posted for you and your students to suggest statistical captions.
The next cartoon and the entry rules for the contest ending October 1 are at
https://www.causeweb.org/cause/caption-contest/october/2016/submissions
The best captions will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the cartoon or free registration to eCOTS 2018.
Enjoy.
September Results: We had 56 submissions for the September caption contest that featured a cartoon showing a crash scene on a rural road with an upcoming curve that looked bell-shaped. The September caption contest had two co-winners. Eugenie Jackson, a student at University of Wyoming, won with his entry “Even a crash course in model-fitting will need to consider distributions other than normal.” Eugenie’s caption was selected for its clever play on words and being well suited for starting a conversation about the normality assumption in statistical models. Our second winner was Amy Nowacki from Cleveland Clinic/Case Western Reserve University whose entry “The dangers of driving more than 3 standard deviations below the speed limit,” would be useful in a classroom discussion of z-scores. Other honorable mentions that rose to the top of the judging included “Big pile-up at percentile marker -1.96 on the bell-curve. You might want to take the chi-square curve to avoid these negative values,” written by Mickey Dunlap from University of Tennessee at Martin; “Call the nonparametric team! This is not normal!” written by Semra Kilic-Bahi of Colby-Sawyer College; “I assumed the driving conditions today would be normal!” written by John Vogt of Newman University; and “CAUTION: Z- values seem smaller than they appear. Slow down & watch for stopped traffic reading these values,” written by Kevin Schirra, a student at University of Akron.
Thanks to everyone who submitted a caption and congratulations to all of our Winners!
I wanted to let my CAUSEweb colleagues know about the upcoming Fall offering of my Teaching Statistics through Data Investigations MOOC for Educators. Many college level faculty and TAs teaching intro level statistics content have found the course beneficial to inspire new teaching strategies, tools, and frameworks---all aligned with the GAISE K-12 and College frameworks!
It’s a completely free professional learning opportunity designed primarily for educators who teach statistics in middle school through early college, but is relevant for those who teach disciplines that use data-based explorations extensively to make claims and inferences (e.g., Social sciences, science). This course allows participants to learn, along with colleagues from around the world, to use an investigation cycle to teach statistics and to help students explore data to make evidence-based claims.
The 5-unit course will be open Sept 26th- December 19th for flexibility in engagement!
Participants can earn certificate of completions and have an opportunity to also pursue micro-credentials and badges to assess and "certify" their understandings of key tools for teaching statistics. Please share with colleagues and teachers in local middle and high schools!
See http://friday.institute/tsdi:cause_hl and feel free to ask me questions about the course!! ( hollylynne(a)ncsu.edu )
See the CAUSE webinar recording here to learn more about the design and implementation of the course.
Many Smiles
Hollylynne
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Hollylynne S. 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
Campus Box 7801
502C Poe Hall
Raleigh, NC 27695
(919)-513-3544 (office)
(919)-515-6892 (FAX)
Hollylynne(a)ncsu.edu
https://ced.ncsu.edu/people/hstohlhttp://ptmt.fi.ncsu.eduhttp://friday.institute/tsdi
Please register for Using a Faculty Learning Community to Develop High-Impact, Little-Time Activities to Help Students Better Understand the Meaning of Parameter, Teaching & Learning webinar on September 13th. Note - there is a CHANGE OF TIME for this webinar only. It will take place at 1 p.m., rather than 2 p.m. eastern.
Link to register: https://www.causeweb.org/cause/webinar/
Presenter : Neal Rogness and Jennifer Kaplan
Abstract: Research on faculty professional development suggests that in order for faculty to change their teaching, they must perceive a problem, be presented with changes they can adapt to their own teaching style, and see evidence of change in student learning based on the changes. Many words in statistics pose a barrier for entry level students because they everyday meanings which differ from their discipline usage within statistics; this can lead to lexical ambiguity for students. The webinar will focus on two High-Impact, Little-Time (HILT) activities developed by faculty involved in a faculty learning community to help exploit lexical ambiguities associated with parameter. We will present the activities, along with the data that show the effectiveness of the activities with respect to student learning.
J ennifer J. Kaplan, University of Georgia; Neal Rogness, Grand Valley State University; Diane Fisher, University of Louisiana at Lafayette
Please register for Using a Faculty Learning Community to Develop High-Impact, Little-Time Activities to Help Students Better Understand the Meaning of Parameter, Teaching & Learning webinar on September 13th. Note - there is a CHANGE OF TIME for this webinar only. It will take place at 1 p.m., rather than 2 p.m. eastern.
Link to register: https://www.causeweb.org/cause/webinar/
Presenter : Neal Rogness Grant Valley State University
Abstract: Research on faculty professional development suggests that in order for faculty to change their teaching, they must perceive a problem, be presented with changes they can adapt to their own teaching style, and see evidence of change in student learning based on the changes. Many words in statistics pose a barrier for entry level students because they everyday meanings which differ from their discipline usage within statistics; this can lead to lexical ambiguity for students. The webinar will focus on two High-Impact, Little-Time (HILT) activities developed by faculty involved in a faculty learning community to help exploit lexical ambiguities associated with parameter. We will present the activities, along with the data that show the effectiveness of the activities with respect to student learning.
J ennifer J. Kaplan, University of Georgia; Neal Rogness, Grand Valley State University; Diane Fisher, University of Louisiana at Lafayette
Subject: Reminder: CAUSE Cartoon Caption Contest #4 (submissions due September 1 )
This is a reminder that submissions for the fourth Cartoon Caption Contest are due September 1 . Each month a cartoon, drawn by British cartoonist John Landers, is posted for you and your students to suggest statistical captions. Generating a caption that's well aligned with a statistics learning objective might make a great extra credit assignment for your class.
The cartoon and the entry rules for the contest ending September 1 are at https://www.causeweb.org/cause/caption-contest/september/2016/submissions
The best captions will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the cartoon or free registration to eCOTS 2018.