MOOCs: Two Different Approaches to Scale, Access and Experimentation

In part 1 of this series, I described a new landscape of educational delivery models. In part 2 I described the master course concept and how it presents a cultural barrier that most traditional institutions cannot cross, at least without a dedicated online organization or an outsourced partnership.

Why does it matter that we describe these educational delivery models with finer granularity than just traditional and online? Because the aims of the models differ, as do the primary methods of how these models are created and delivered.

With all of the recent interest in Massive Open Online Courses (MOOCs), it would be worth summarizing the two branches of MOOCs including recent posts or interviews by the founders of the concept.

Scale and Access

In most online programs, at least those with more than few thousand students, the delivery method of this scale is the duplication of course sections in the manner of tract housing (for a better description, see part 2). But are there other methods to achieve scale (and therefore access) without duplicating sections? MOOCs represent an alternate approach where the actual course itself provides scale, allowing essentially unlimited enrollment in the single course section in the manner of a large apartment building.

 

History of Both Branches in the Words of the Founders

Clark Quinn posted a nice summary of the two different branches of MOOCs.

The Stanford model, as I understand it (and I haven’t taken one), features a rigorous curriculum of content and assessments, in technical fields like AI and programming. The goal is to ensure a high quality learning experience to anyone with sufficient technical ability and access to the Internet. Currently, the experience does support a discussion board, but otherwise the experience is, effectively, solo.

The connectivist MOOCs, on the other hand, are highly social. The learning comes from content presented by a lecturer, and then dialog via social media, where the contributions of the participants are shared. Assessment comes from participation and reflection, without explicit contextualized practice.

MOOCs were first implemented in 2007 / 2008. The early history is described quite nicely in the following posts, all by the founders of  Rhizomatic MOOC concept (also called Distributed, Proto or Connectivist).

The most press recently, however, has been based on the Stanford branch of MOOCs, started with the Artificial Intelligence course in 2011.

Future of MOOCs

To understand the future of MOOCs, I think it's important to consider these two observations.

It is important to realize that MOOCs are not (yet) an answer to any particular problem. They are an open and ongoing experiment. They are an attempt to play with models of teaching and learning that are in synch with the spirit of the internet. As with any research project, it is unlikely that they will be adopted wholesale in traditional universities. Most likely, bits and pieces will be adopted into different teaching models.

The quick emergence of the MOOC concept is quite significant for educational technology. In less than 5 years, and entirely new approach to provide cost-effective scale and access has emerged, and the next generation or two of MOOCs could lead to significant new options in higher education. In my opinion, the critical piece for MOOCs to be "an answer to [a] particular problem"  is either badges or accreditation acceptance.

Update: Fixed link to Clark Quinn's piece

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