Research
This function is sometimes capital intensive. It operates on a grant/proposal system, unless we're talking about R&D firms in the private sector. I think the best way differentiating the two is that academic research tends to be speculative, while the research private companies do tends to have an immediate instrumental value. In a higher education un-bundling, there could be institutions for undergraduates and graduate students that focus on deep immersion in a field with opportunities to do research while faculty also focuses on research, advising and publishing their work.
Knowledge Distribution
The publishing industry, library systems, internet databases, etc. are all a part of the distribution system, but traditional higher learning includes the additional service of the lecture with the advantage being that students can ask questions when they get stuck. In a higher education un-bundling, there would be more emphasis on face-to-face interaction for upper level study perhaps based on the seminar model. This means that content distribution would be best accessed through the aforementioned systems. For example, the Minerva project takes advantage of the internet by offering instruction online for courses earlier in the sequence. There are also plenty of tutoring platforms and question forums (e.g. Quora, StackOverflow, Reddit, etc.) that are either in person or online that serve to fill the role of office hours at a traditional university in a cheaper and more effective way. After all, few students take advantage of office hours at universities anyways. They rather ask friends first. Which brings us to another function...
Socialization Patterns
The university offers an intentional community in which students live together. Students are partially randomized and then placed in dorms to live together (unless they choose their roommates beforehand). They may or may not be studying the same material, so the dormitory functions as just that - a dormitory. Students connect through the lecture hall usually in an organic way, just like in high school. Though, if they share the same major, they will likely see each other in several classes. This allows for networked learning on assignments, studying, projects, etc. After university, people find a place to live and commute to work. Here collaboration is a must. What was a study group in university becomes the "professional network." After retirement, an emphasis on intentional communities reappear along with these learning networks as people learn new skills.
The un-bundling here comes in the increase in self chosen intentional communities dedicated to study. Even Minerva international students are encouraged to take advantage of this by co-living with other students in their home country before finally moving to California for the last two years. Other examples include HackerHouse and many other technology oriented intentional communities. There are likely many informal co-living situations between people who are independent scholars or "education hackers."
Another idea, see: Home College: an Idea Whose Time Has Come (Again)
I also have another idea to contribute to the idea-pool. Let's say we have this thing called the "Grandma Effect" which is a phenomenon where children show their grandma some cool trick they can do or share some idea they recently learned about and grandma responds with a burst or enthusiasm, thereby encouraging the child to continue learning more. When it comes to college education, some may argue that success in learning comes from the structured environment and accountability measures set up by professors, advisers and parents. If at only 18, a high school graduate wishes to join other five other 18 y.o. high school graduates to study geography together, they can find a space to do it over the course of 3 years or less. However, this group of self-directed learners will run into the problem of accountability and structure, as well as social stigma. Since both these Millenials and the older population are suited to intentional communities there should be a matching mechanism that would match an older mentor from the retired population with these independent learners. The Grandma Effect would provide encouragement, accountability and increase the reputation of the intentional community.
These are all grand ideas, but we also need ways to learn today without relying on a sophisticated infrastructure. I will try to write a post specifically about the strategies individuals can use based on all the books I've read on the subject of self-directed higher education.
Signaling Methods (Credentialing)
Throughout formal education transcripts and standardized test scores serve as the signal that allows students to move through successive stages of the education system. There are school sponsored standardized testing as well as outside testing e.g. SATs, ACTs, GREs etc. Each level (high school, college, grad school) grants a diploma or certificate which shows that the student has met all the graduation requirements. With the implementation of sorting algorithms, some job applications are weeded out even before a person looks at the resume if they don't have a certain credential.
Alternative credential systems are still being devised but I will touch on some interesting developments.
Integrative Platforms for Life-long Learning:
While a degree signals that a student has focused on education exclusively for 4 years, imagine what signal is created when a person creates a learning profile over the course of more than 4 years. A learning profile does more to show what a person dedicates their time to learning through incorporating a variety of content from articles, videos, and coursework to books read. One such platform is Degreed. Users have the ability to add verified credits from accredited universities, but more importantly they can automatically integrate into their learning portfolio all the academic content they consume on the net using a web plugin. A similar idea is Mozilla's Open Badges which offers badges for a variety of different skills.
Talent Analytics:
More and more companies are becoming "data-driven." There is a so called Datafication of Human Resources. From the same article, here is an example of datafication of HR:
"A major customer service provider analyzed 7,240 employees over seven locations around the world and found that “relevant job experience” in the area of customer service had no impact on tenure, performance, or long term employee engagement. They also found that candidates with many prior positions (ie. job hoppers) did not perform any better or worse than employees who had long term employment with their prior employer. The result: a very powerful model now in use to hire and predict high performers in customer service."Analysis of turnover and estimation of wages are all internally important processes but there are areas where populations that were disadvantaged in the past will be able to gain employment based on their own metrics. One criticism may be that
I foresee a personal analytics platform which takes key measures e.g. Distance of Daily Commute, LinkedIn Connections, High School GPA, Nutritional Targets, Sleep and Exercise Data, Test Scores, and more that will be used in a proposal system which replaces the resume. People will not just apply to jobs, but also create their own jobs by proposing how they can add to projects undertaken by existing companies. The personal analytics will be useful as a baseline for soft skills and generic abilities while a portfolio, recommendations, MOOC coursework, bootcamps and workshop experience will serve to show domain expertise.
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