Note this MOOC – which has been run (and advertized here) several times in the past – is beginning again on Monday. For those interested in understanding, collecting, and manipulating statistics (including K-12 distance, online and/or blended learning practitioners), I would highly recommend this MOOC.
Hi everyone,I am again offering my MOOC on introductory uses of statistics in education. This section will run from February 27-April 3, 2017 on Canvas.net. Here is the link to the course sign-up page:The course is free.I made a short 3-minute ‘mash-up’ of a selection of the course’s videos to give people a taste of the course:Also, all of the course videos are available on YouTube – here is a link to the playlist:I designed the course for “mere mortals,” meaning that I designed it for people who want to know about and use statistics as but one important tool in their work, but who are not — and don’t want to be — mathematicians or statisticians. A special note that I also designed it with doctoral students in mind, especially those who are about to take their first statistics course. It could also be good for those students who just finished a statistics course, but are still fuzzy on the details.However, this course would be useful to anyone who wants a good, short, hands-on, friendly introduction to the most fundamental ideas of statistics in education.Here’s my approach … I provide a short presentation or two on each statistics topic, followed by a video tutorial where you build an Excel spreadsheet from scratch to compute the statistic. Then, I ask you to take a short quiz — consisting of sometimes just one question — where I ask you to plug in some new data into your spreadsheet and then copy and paste one of your new calculations as your answer. (And yes, there is also a short final exam at the end on the conceptual stuff.)Examples of specific skills to be learned include the scales of measurement, measures of central tendency, measures of variability, and the computation of the following: mean, mode, and median, standard deviation, z (standard) scores, Pearson product-moment correlation coefficient (r), correlated-samples t test (i.e. dependent t test), independent-samples t test, and a one-way analysis of variance (ANOVA).This will be the ninth time I will have taught this free online course. Almost 6000 people worldwide have enrolled in it to date.The course is scheduled to be offered next in July, 2017. The plan is to offer it twice a year.Lloyd—*********************************************** Lloyd P. Rieber* Professor of Learning, Design, & Technology* 203 River’s Crossing* The University of Georgia* Athens, Georgia 30602-4809 USA* Phone: 706-542-3986* FAX: 706-542-4054* Email: firstname.lastname@example.org…………………………………….Lloyd’s LiveCode Blog: http://learninglivecode.blogspot.com/Check out Lloyd’s Video Analysis Tool in the Mac App Store: