A bad MOOC risin’

Hello Mighty MOOCsters of the past,

We’re back! The original unlplatformed, untaught, mechanically motivated MOOC returns.

After a break to recharge our batteries, retool the machine and sort through what we learned a couple of months ago, we are gearing up to offer the Mechanical MOOC Gentle Introduction to Python course again this summer. We’re just letting you know in case you got part way through in an earlier sequence and want to join us again to Python on. We hope to start on or about June 17th.

As always, join by adding your name to the mailing list.

Your educatatronic guide,

The Mechanical MOOC

(Apologies to CCR.)

Posted in Seq17Jun13 | Leave a comment

Python – Week 8 #mmoc #mmooc #seq7jan13

Seq7Jan13: Mailed 4 March 2013.

Mighty MOOCers,

This is it.  The final week’s assignments.  We hope that you’ve learned some Python, made some friends and enjoyed this experiment in a new model for learning.  The final assignment:

That’s it.  When you’ve done that, you’re done.  But fear not–we’re not going anywhere, so neither should you.  If you are running behind a little, take your time.  If you are done, feel free to hang with us on OpenStudy and continue to help out other learners.  And if you have thoughts about other Mechanical MOOC courses we might offer, let us know.

Thanks for joining us for this leap into a new world of learning.

–The Mechanical MOOC

The Mechanical MOOC’s A Gentle Introduction to Python is a collaboration between Peer 2 Peer UniversityMIT OpenCourseWareOpenStudy, and Codecademy. For this course, Peer 2 Peer University has developed an email scheduler that coordinates student activity across the participating sites to facilitate collaborative learning. This email was generated by the scheduler. A full archive of emails for this course sequence is available here. For more information, please visit http://mechanicalmooc.org. For questions regarding the logistics of the course, please e-mail mooc-e@p2pu.org.

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Who really cares about MOOC completion?

(Cross-posted from the OpenFiction [ Blog ].)

This is a really interesting graphic on MOOC completion, showing rates ranging from 20% to 2%.  The data points the researcher (Katy Jordan at OU UK) pulls out are:

  • How big is the typical MOOC? – while an enrollment of 180,000 is often cited as the largest MOOC so far, 50,000 students enrolled is a much more typical MOOC size.
  • How many students complete courses? – completion rates can approach 20%, although most MOOCs have completion rates of less than 10%.
  • What factors might affect completion rate? – the way that the course is assessed may affect completion rates; the completion rates of courses which use automatic grading range from 4.6% to 19.2%, while the rates for courses which use peer grading range form 0.7% to 10.7%. This may present a greater challenge for teaching MOOCs in certain subjects.
  • Do more students drop out if courses are longer? – there does not appear to be a negative correlation between course length and completion rate, which is interesting as you might expect fewer students to ‘keep going’ and complete longer courses.

It’s great to see some data on completion rates, and this will certainly stir up more debate on the topic.

But one issue not addressed in the current discussion is who really cares about MOOC completion?  Certainly the groups offering them do, and educational researchers do.  A fair guess that many non-profit funders do as well.  Interestingly, though, some of the data coming out of the Mechanical MOOC Python course suggest that in the absence of extrinsic carrots like credit or certificates, learners may not.

In the eighth and final week of the class, we asked the 5,775 learners who signed up for the first iteration of the Python course a series of end of course questions; we received 21 partial and 61 complete responses. Assuming a survey completion rate of 3% (typical of what we see for MIT OCW surveys) and 5% (really good for an OCW survey) that would suggest a rough engaged population of learners (that is, still reading the e-mails we were sending out to structure the course) of between 2,733 and 1,640 people during the last week of the course.*

One question asked which was the last week of the course out of the eight they had completed.  Here’s the response:

MechMOOC Week complete

At the point of the survey, midway through the eighth week, 12.1% indicated they had completed the course and 13.8% had completed week 7.  If we assume 25% attrition from those that completed week 7, maybe 10.4% of the 13.8% would be expected to finish the course.  So in very rough numbers, 20.5% of the survey respondents might be expected to finish.

Apply that number to the estimated engaged population of learners above, and we can get very rough numbers of estimated completers:  560 – 336, or 9.7% – 5.8%. or somewhere in the mid to low range of MOOC out there, which might be expected, since we weren’t offering a certificate or other incentive for finishing.  Now there are plenty of places to take issue with the above numbers, and since our course set up doesn’t have a solid way of counting course completers, this really should be taken for the back-of-the-envelope analysis it is.  But…

What is really interesting to me here is the distribution of learners across the weeks completed.  There is a large cohort of students (68.9% of respondents) that reports most recently completing weeks 4-7, which is to say they progressed significantly through the course but most of them were not positioned to finish the course “on schedule.”

How do they feel about this?  Apparently pretty good.  Granted the n’s are painfully small here, but if you ask how successful they felt they were in the portions of the class they completed, most report being completely or mostly successful:

Success by week

Further, if you ask whether they feel prepared for further study based on what they had learned so far in the class, they likewise responded largely that they were very or somewhat prepared:

Preparedness

The data’s a little thin, yes, but this would seem to at least suggest that while MOOC providers and higher education commentators wring their hands about the completion rates of MOOC, the learners may not really care that much.  If they are learning for the sake of learning, they may be quite content to fit in what learning they can given the constraints of their lives and be happy with wherever they finish up.

There’s a great deal of excitement (and fear) over whether MOOCs will replace parts of the current higher education system, but right now I suspect most of the activity with MOOCs (as has been the case with OER more generally) is in extending educational opportunity beyond the current higher education system.  If this is the case, we may need some better metric for understanding student success and satisfaction than completion rate.

* Correlating data point:  The week 8 assignment e-mail recorded 1,929 opens through our e-mail system.

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Week 7 – Less reading, more coding #mooc #mmooc #seq7jan13

Seq7Jan13: Sent 25 February 2013.

MechMOOCsters,

Week 7–less reading and watching, more coding. This week we will finish up the readings, videos and Codecademy exercises, and begin to focus intensively on projects that will put what we’ve learned to practice in a series of projects. The training wheels are coming off.

Materials:

Tasks:

As always, ask for help for help on OpenStudy or from your cluster peers. And remember to hand out medals on OpenStudy to anyone who helps you out!Keep on coding!

– The Mechanical MOOC

The Mechanical MOOC’s A Gentle Introduction to Python is a collaboration between Peer 2 Peer UniversityMIT OpenCourseWareOpenStudy, and Codecademy. For this course, Peer 2 Peer University has developed an email scheduler that coordinates student activity across the participating sites to facilitate collaborative learning. This email was generated by the scheduler. A full archive of emails for this course sequence is available here. For more information, please visit http://mechanicalmooc.org. For questions regarding the logistics of the course, please e-mailmooc-e@p2pu.org.

 

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Week 6 – Let the projects begin #mooc #mmooc #seq7jan13

Seq7Jan13: Mailed 20 February 2013.

Mechanical MOOCers,

On to to week 6–a few days late.  Sorry to have missed the Monday distribution.  Here we begin a shift in the course materials from a focus on reading and exercises to project work. Now we’re gettin’ (more) real.

Here are your materials and assignments:Materials:

Tasks:

  • First: Complete sections 3.10 and 3.11 from Written Exercises 3
  • Second: Complete sections 3.6 and Optionals Exercises 1 & 2 from Handout 3 of 6.189 A Gentle Introduction to Computer Science
  • Complete Project 1

As always, ask for help for help on OpenStudy or from your cluster peers. And remember to hand out medals on OpenStudy to anyone who helps you out!

Show off them mad skills!

– The Mechanical MOOC

The Mechanical MOOC’s A Gentle Introduction to Python is a collaboration between Peer 2 Peer University,MIT OpenCourseWareOpenStudy, and Codecademy. For this course, Peer 2 Peer University has developed an email scheduler that coordinates student activity across the participating sites to facilitate collaborative learning. This email was generated by the scheduler. A full archive of emails for this course sequence isavailable here. For more information, please visit http://mechanicalmooc.org. For questions regarding the logistics of the course, please e-mail mooc-e@p2pu.org.

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Week 5 – Halfway home! #mooc #mmooc #seq7jan13

Seq7Jan13: Mailed 4 February 2013.

Mechanical MOOCers,

Welcome to week 5–you’re midway through the adventure.  If you are getting a little behind or feeling a little overwhelmed, despair not.  We’ve planned to take a little break next week so everyone can catch their breath.  And if you’d rather not, consult the course sequence on the blog for upcoming assignments and keep on rolling.

Here are your materials and assignments for this week:

Materials:

Tasks:

As always, ask for help for help on OpenStudy or from your cluster peers. And remember to hand out medals on OpenStudy to anyone who helps you out!

Keep on keepin’ on!

– The Mechanical MOOC

The Mechanical MOOC’s A Gentle Introduction to Python is a collaboration between Peer 2 Peer UniversityMIT OpenCourseWareOpenStudy, and Codecademy. For this course, Peer 2 Peer University has developed an email scheduler that coordinates student activity across the participating sites to facilitate collaborative learning. This email was generated by the scheduler. A full archive of emails for this course sequence is available here. For more information, please visit http://mechanicalmooc.org. For questions regarding the logistics of the course, please e-mail mooc-e@p2pu.org.

 

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What’s your (Mechanical MOOC) story? #mooc #mmooc #seq7jan13

Seq7Jan13: Mailed 31 January 2013.

Mechanical MOOCers,

As you know, we’re trying a whole new approach to providing massive open online courses with the Mechanical MOOC. We’d love to know how you think it’s going so far. Please consider taking a minute to e-mail us at mooc-e@p2pu.org and share:

  • Your reasons for choosing to study with the Mechanical MOOC
  • Your experiences with the course so far
  • Your suggestions for improving the experience

Any feedback you provide will only be shared anonymously. Thanks for helping us build a better education contraption.

– The Mechanical MOOC

The Mechanical MOOC’s A Gentle Introduction to Python is a collaboration between Peer 2 Peer UniversityMIT OpenCourseWareOpenStudy, andCodecademy. For this course, Peer 2 Peer University has developed an email scheduler that coordinates student activity across the participating sites to facilitate collaborative learning. This email was generated by the scheduler. A full archive of emails for this course sequence is available here. For more information, please visit http://mechanicalmooc.org. For questions regarding the logistics of the course, please e-mail mooc-e@p2pu.org.

Posted in Seq7Jan13 | Tagged , , | Leave a comment