Friday, November 8, 2013

MOOC Review

In my search for a MOOC to take, I was originally drawn to Big Data in Education, taught by Dr. Ryan Baker, offered by Coursera in conjunction with Columbia University.  Both professionally and academically I have been doing work with data analytics and thought this would be an excellent use of my time pursuing a MOOC class.  Unfortunately, the class kept getting pushed back.  It was originally supposed to start around the beginning of the semester, and finally had a start date of October 24.  Since I needed to get started earlier, I made other plans and enrolled in Web Intelligence and Big Data taught by Dr. Gautam Shroff also through Coursera in conjunction with the Indian Institute of Technology Delhi.

Immediately upon exploring the course I knew it was going to be a challenge.  While I have an undergraduate minor in computer science, I was intimidated by the deep down technical nature of the course and the amount of programming knowledge involved.  The course consisted of video lectures, homework assignments, and quizzes, in the typical style of an xMOOC (Siemens, 2012).  As I began to watch the lectures, the instructor did make the complex material interesting and as easy as possible to understand.  His teaching technique helped me grasp concepts with which I was slightly familiar, but did not know in depth beforehand.   Despite the complexity of the material, the lectures were broken down in such a way that they could easily be rewatched for clarity.  No lecture segment was beyond ten minutes.  This greatly helped me fit the lectures into my already busy schedule.  Daphne Koller of Coursera (2012) details that these lengths and design are optimized for student learning.  Due to outside demands, I did not complete the programming assignments, but I did read over them.  As the course progressed, it became clear that while the material was interesting, it was really far too technical and geared towards truly “big” data (google, etc) for me to get a lot of use out of it.

A couple of weeks ago, the original course I was interested in finally started.  After much consternation rather to stick with the current course, or switch to a more relevant and less intensive course, I made the switch.  Now I am just another MOOC non-completer statistic, as taking too much time, and assuming too much knowledge are the top two reasons students don’t complete MOOCs (Coleman, 2013).  The new course has a very similar format, but the content is more relevant to my position as I will be using education specific data, rather than the huge data sets that exist in the online world.  The course is a series of video lectures, with quizzes and problems to work each week.  Since this is my second round with Coursera, I am quickly recognizing a theme!  I would imagine this is useful to learners taking multiple MOOCs as they can easily develop a routine once they are familiar with the Coursera setup.

One difference in the courses is the level of “massiveness.”  I do not have numbers of the enrollments, but the difference in the traffic on the discussion boards leads me to believe that the more general course, Web Intelligence and Big Data, has many more enrollments.  In some ways, this has been both positive and negative.  With more discussions come more student questions and interaction, however, in the first week of the course I was a bit overwhelmed.  I contributed to a thread to share your Linkedin info, and was inundated!  The thread now has 315 posts and I believe I have gotten even more connection requests.  While I do appreciate making connections and network with other learners, it was too much for me.  Since the other course, Big Data in Education, only appeals to a limited demographic, there is less traffic on the discussion boards, but it has been more mentally manageable for me personally.

In what has been a common critique of xMOOCS, both of these courses have not been especially cutting edge pedagogically speaking (Morris, 2012).  The lecture/assignment/quiz format is essentially an independent study course taken alongside thousands of others.  However, that said, I do believe they have been effective.  My foray into the Web Intelligence and Big Data course has allowed me to talk to the statistician in my office about data in different ways.  I believe the Big Data in Education course will enable me to generate new ideas in using data that is available from my institution in furthering the mission of my office and also in my studies.  While the completion rate for MOOCs is very low, I hope to stick with my second MOOC through the end.  In the future I would love to explore additional MOOCs, although I am not likely to become a “hard core learner” (Young, 2013).

Colman, D. (2013). MOOC interrupted. Top 10 reasons our readers didn’t finish a massive open online class. Retrieved from http://www.openculture.com/2013/04/10_reasons_you_didnt_complete_a_mooc.html
 
Morris, S. M. (2012). Broadcast Education: A response to Coursera. Open Education. Retrieved from http://www.hybridpedagogy.com/Journal/files/Broadcast_Education.html
 
Koller, D. (2012, June). Daphne Koller: What we're learning from online education [Video file]. Retrieved from http://www.ted.com/talks/daphne_koller_what_we_re_learning_from_online_education.html
Siemens, G. (2012). MOOCs are really a platform. Retrieved from http://www.elearnspace.org/blog/2012/07/25/moocs-are-really-a-platform/
 
Young, J. (2013). What Professors can learn from hard core Mooc students. Retrieved from http://chronicle.com/article/What-Professors-Can-Learn-From/139367/

Micro MOOC survey: