I wanted to let you know about an exceptional opportunity. A former professor of mine, Dr. Lloyd Rieber, will be offering a free online course (MOOC). Dr. Lloyd Rieber is a fantastic teacher, and he speaks in a language students can understand. I cannot offer a higher recommendation for learning than with Dr. Rieber. As a graduate student, I had the pleasure to team teach with Dr. Rieber on multiple occasions, and Dr. Rieber participated on my dissertation research committee. While I do not know exactly how this course will be organized, I can say that Dr. Rieber creates and delivers the highest quality instruction.
For you current students, this would be a great learning experience to both learn about Stats and live a MOOC. Friends and colleagues, you may be able to recommend this opportunity to some of your students or friends.
Here’s the announcement and links:
From: Lloyd P Rieber <firstname.lastname@example.org>
Subject: “Statistics in Education for Mere Mortals” a MOOC offered by Lloyd Rieber
I’ll be offering a MOOC on the topic of statistics in education. The MOOC runs from August 4-September 9, 2013 on Canvas.net https://www.canvas.net/ .
Well, the course will be open and online (and free), but we’ll have to see if the “massive” part happens.
Here’s a link to the course site:
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.
An important course requirement is that you have to be able to put up with my sense of humor (or lack thereof).
Here’s the formal course description:
This short course will provide a hands-on introduction to statistics used in educational research and evaluation. Participants will learn statistical concepts, principles, and procedures by building Excel spreadsheets from scratch in a guided learning approach using short video-based tutorials. Examples of specific skills to be learned include 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 (i.e. independent t test), and a one-way analysis of variance (ANOVA).
The course is designed primarily for two audiences: 1) educational professionals who would like to be more informed about how to compute basic statistics and how to use them intelligently in their work; and 2) first-year doctoral students who want a short and friendly introduction (or brush up) to basic statistics before taking full graduate-level statistics courses. 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.
* Lloyd P. Rieber
* Director, Innovation in Teaching & Technology for
* the College of Education
* Professor, Department of Career & Information
* 203 River’s Crossing
* The University of Georgia
* Athens, Georgia 30602-7144 USA
* Phone: 706-542-3986
* FAX: 706-542-4054
* Email: email@example.com