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 <lrieber@uga.edu>
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
*   Studies
* 203 River’s Crossing
* The University of Georgia
* Athens, Georgia  30602-7144  USA
* Phone: 706-542-3986
* FAX: 706-542-4054
* Email: lrieber@uga.edu
* http://lrieber.coe.uga.edu/
* http://www.NowhereRoad.com

About Michael M Grant

Dr. Michael M. Grant is a passionate professor, researcher, and consultant. He works with faculty members, schools and universities, and districts to integrate technology meaningfully and improve teaching and learning. When 140 characters just won't work, then he blogs here at Viral-Notebook.com. He has a beautiful wife and three equally beautiful daughters, who will change the world.

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