The Evolving Online Course: Can a Course Get Smarter As It Ages?
Guest Post on The Evolllution
By Chris Proulx | Chief Executive Officer, eCornell
Much has been written about Massive Open Online Courses (MOOCs) and their potential to change how people access course content, and discussions abound on how faculty might change their style of teaching and how learning might become more personalized. These questions are an extension of the ongoing dialogue related to the potential opportunities afforded by online education.
One of the untapped areas of potential for schools, faculty and students is how to best take advantage of the digital assets created during the development and delivery of online courses. If you begin to think “outside the box” of the traditional course, or even the traditional online course, you quickly identify a variety of potential issues with how we use, re-use and re-combine these digital assets, which could lie at the heart of a future transformation of the course.
What is a course and who owns it?
Faculty members have traditionally been good curators of content, aligning readings and guest speakers with their own lecture topics to create a unified course. The faculty member regularly updates lecture content, adapts new reading lists and chooses new textbooks as new material becomes available.
In the digital environment, the faculty member now has a much broader menu of options for course content, increasingly supported by the learning management system being used by his or her institution, which makes it easier to integrate, link and embed third-party content into the course. Some of these options take the more traditional form (such as e-textbooks and journal articles) while others include online assets such as blogs, wikis and RSS feeds. Over the past several years, faculty members have had access to content from various open educational resource repositories, as well as YouTube or iTunesU videos. Added to this list now are MOOCs, which could serve as rich course material sources or pre-requisites, depending on the platform being used. Lastly, the new format for online courses has led to an explosion of student-generated content. Student discussion posts, blogs, tweets, etc. from prior courses could also become a rich set of new content.
For administrators, the questions will arise:
- “Where does the definition of what counts as course material stop and start?”
- “What ownership does the faculty member have over the course, its content and its design?”
- “How does this new world of aggregation change how we think about stipends and other compensation for course development?”
New opportunities for aggregation and social sharing
Indeed, some of these issues related to IP ownership, rights and access have been part of the discussion for many years. And, certainly, the creation of a fully digital course is nothing new in some circles. But where it gets really interesting is when you factor in the ability to aggregate the student-generated and socially-shared content of an online course.
One of the unique characteristics of an online course, compared with a classroom course, is the digital footprint created by the students and the faculty member. At eCornell, where we typically offer short courses (two to four weeks long), each session is still populated with hundreds of unique discussion posts and dozens of student-created projects, papers and other assignments by the end of the course. Recent attention and focus has been turned to the field of learning analytics and tools like Knewton that can help faculty identify students in need, and offer more targeted and personalized content based on the aggregation of data on the student’s progress in the course. While interesting in its own right, I think there is another, more interesting use of student data.
When we move beyond the binary distinctions of faculty member and student, and instead look at everyone as having the role of a contributor to the learning experience, you can ask new questions. What if you could systematically capture, tag, anonymize, analyze and aggregate the various types of student contributions to an online course, such as discussion posts, blog posts, tweets, projects and assignments? The result could be a new set of course assets, based entirely on the insights, wisdom and questions of students. In professional programs, you could create “Best Practices” or new types of Case Studies that draw on the real-world experiences of those in the class. As enrollments in a particular course grow (through a MOOC, for example), or as you aggregate contributions from multiple sessions of a course, you have the opportunity for a true “wisdom of crowds” type of learning experience.
In essence, what if a course could actually get “smarter” in each successive running, not solely based on the updates of the faculty member, but based on the knowledge, insights and experience of prior students? Imagine a course with new assets that could reflect recent trends drawn from the diversity of its students. This could could enable the construction of new knowledge in a way that is possible but may not be happening in a systemic way.
Of course, there are questions
Do the students have to explicitly consent to the use of their contributed materials in this way? What types of tools do we need to aggregate and analyze this unstructured “big data”? How should faculty members adapt their own teaching and content to best leverage this student-generated content? Are they comfortable with this latest evolutionary step, which turns them from “sage on the stage” to “guide on the side”? Do institutions see this type of learning as a competitive advantage or disruptive threat?
With so much hype about the disruptive potential of video-captured lectures (arguably a significantly old technology) and the transformative effects of blending digital content with human-powered learning (a not-so-recent development), I suggest we turn our attention to figuring out how to do things in the online environment that take advantage of its unique ability to capture learning that truly reflects the collective knowledge of the learning community.