[mdw@purdue.edu: Re: Teaching R in high school and college science and math courses]
I would be very interested in being involved. I am an ASA member. I think the AP Stats. teachers already using R would be terrific resources. I am not sure we need to start a new list -- there is little traffic on this one, and most of it is off-topic. This is actually about using R to teach statistics! ----- Forwarded message from Mark Daniel Ward <mdw at purdue.edu> ----- Date: Tue, 17 May 2016 18:01:57 -0400 From: Mark Daniel Ward <mdw at purdue.edu> To: Brian Dennis <dr.of.chaos at gmail.com>, r-sig-teaching at r-project.org Subject: Re: [R-sig-teaching] Teaching R in high school and college science and math courses User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.11; rv:45.0) Gecko/20100101 Thunderbird/45.0 Dear Brian, I firmly agree with you. Indeed, I'm working with some colleagues at the ASA (American Statistical Association) on trying to really broaden the groups that are impacted by the use of R and data science, far beyond the usually K-12 contact with statistics. Perhaps we don't have to bother everyone with such discussions. I wonder if interested parties would like to have a sub-discussion about this with my colleagues at the ASA? I'm actually trying to build some momentum in these very areas. Would you like to (directly) discuss further? I've been working on an initiative in this vein lately. P.S. I see that you are a professor of wildlife and statistics. Although I'm in a statistics department, we have several students working on projects related to forestry and natural resources at Purdue. Mark Mark Daniel Ward, Ph.D. Associate Professor and Undergraduate Chair Department of Statistics Purdue University 150 North University Street West Lafayette, IN 47907-2067 mdw at purdue.edu phone: (765) 496-9563
On 5/17/16 5:45 PM, Brian Dennis wrote:
Hi fellow R-philes, My contention is that R is not just for statistics. Rather, R can be used in math and science classes in colleges, community colleges, and even high schools, to replace most uses of graphing calculators and proprietary spreadsheets. Various aspects of R seem to have immense potential for helping STEM (science, technology, engineering, math) education: (1) With R, scientific calculations and graphs are fun and easy to produce. A student using R can focus on the scientific and mathematical concepts without having to pore through a manual of daunting calculator keystroke instructions. The students would be analyzing data and depicting equations just as scientists are doing in labs all over the world. (2) R could be learned once and used across a wide variety of STEM courses, promoting the integration of STEM subjects that has been much discussed in principle but elusive in practice. (3) R is now probably the most universally available computational tool (aside from counting on fingers). Many students access a computer to use social media, and most schools and colleges have institutional machines (of varying quality) available to the students. Versions of R exist for most platforms (going back 10 years or more), so R could be made instantly available to every student in every course. (4) R invites collaboration. Students can work in groups to conduct projects in R, build R scripts, and improve each others??? work. Results on a computer screen are easier to view in groups than on a calculator. At home, students can work cooperatively online with R. Every new class can build new accomplishments upon those of previous classes. R builds on itself. (5) R skills follow a student to college and professional life. College statistics and advanced science courses are increasingly teaching R. R skills are a becoming a valuable professional credential in sci-tech, data analytic, and finance firms. (6) R tutorial websites and videos for beginners are now widespread and free. I have taught R as a guest teacher in 6th, 7th, 8th, 9th, and 10th grades (& am a university statistician/scientist by profession). The kids love it and take to it with gusto. R seems to them like a real important thing when they produce, all by themselves, beautiful graphs of important concepts. Toward the goal of popularizing R as a general product for scientific graphs and calculations, I wrote a book, "The R Student Companion". It is an inexpensive paperback modeled in a "lab manual" format. Naturally, so many free instructional resources are available for R that instructors can bring R into courses without needing extra books. However, my book is targeted at a high school level audience, having just a little algebra, and it contains real, compelling scientific examples and computational exercises and projects. The value-added convenience, and the fact that the book ports across many courses, seem to me to make the book a bargain. Publisher website here: https://www.crcpress.com/The-R-Student-Companion/Dennis/p/book/9781439875407 Amazon here: http://www.amazon.com/The-Student-Companion-Brian-Dennis/dp/1439875405 Read reviews here: http://webpages.uidaho.edu/~brian/reviews_of_RSC.pdf Readin', Rritin', Rithmetic, and R! Enjoy! Brian Dennis Professor of Wildlife and Statistics University of Idaho [[alternative HTML version deleted]]
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