Going Horizontal

vertical horizontalIn microeconomics and management, going vertical or vertical integration occurs when the supply chain of a company is owned by that company. For example, if a car manufacturer also produces its own steel, tires and batteries.

This is in contrast with horizontal integration, wherein a company produces several items which are related to one another.

Higher education has been a vertical enterprise for centuries. We keep knowledge creation, teaching, testing, and credentialing all under one company/college banner.

These are terms from economics and business. Are they applicable to discussions about education?

Horizontal integration often occurs in the business world by internal expansion, acquisition or merger. Of course, that might happen in education too, but there are also signs that it is happening in other ways.

When MOOCs were the big news five years ago, some people saw this as a shift from a vertically integrated model to a horizontally integrated one by decoupling teaching and learning from the campus testing and credentialing.

In looking for further examples of vertical and horizontal integration in education, the examples I found were mostly in medical education. 

"Vertical and horizontal integration of knowledge and skills - a working model" (Snyman WD, Kroon J.) looks at an integrated outcomes-based curriculum for dentistry at the University of Pretoria in 1997.

In "Horizontal and vertical integration of academic disciplines in the medical school curriculum (Vidic B, Weitlauf HM) looks at pedagogical shifts caused by the rapid expansion of new scientific information and the introduction of new technology in operative and diagnostic medicine.

In more general terms, assessment alignment is often the reason for both horizontal and vertical alignment in education. Alignment is typically understood as the agreement between a set of content standards and an assessment used to measure those standards. By establishing content standards, stakeholders in an education system determine what students are expected to know and be able to do at each grade level.

Probably, it is best when education goes both vertically and horizontally. 

Horizontal information exchange can be teachers sharing methodology, students sharing information, students helping each other learn.

When a curriculum is truly vertically aligned or vertically coherent, what students learn in one lesson, course, or grade level prepares them for the next lesson, course, or grade level. I know teaching is supposed to be structured and logically sequenced so that learning progressively prepares them for more challenging, higher-level work. I saw that structured sequencing more in my K-12 teaching than I do in higher education which is more siloed. 

Let's work on going more horizontal, higher ed.

Bleeding Edgy Deep Learning

Deep learning is a hot topic right now, but it is not lightweight or something I would imagine learners who are not in the computer science world to take very seriously. But I stumbled upon this video introduction that certainly goes for an edgier presentation of this serious subject and obviously is trying to appeal to a non-traditional audience.

That audience would be part of what I refer to as both Education 2.0 and also that segment of learners who are The Disconnected.  I see these disconnected learners as a wider age group than "Millennials." They are the potential students in our undergraduate and graduate programs, but also older people already in the workplace looking to move or advance their careers. The younger ones have never been connected to traditional forms of media consumption and services and have no plan to ever be connected to them. And that is also how they feel about education. You learn where and when you can learn with little concern for credits and degrees.

The video I found (below) is an "Intro to Deep Learning" billed as being "for anyone who wants to become a deep learning engineer." It is supposed to take you from "the very basics of deep learning to the bleeding edge over the course of 4 months." That is quite a trip. 

The sample video is on how to predict an animal’s body weight given it’s brain weight using linear regression via 10 lines of Python.

Though the YouTube content (created by and starring Siraj Raval) is totally free, he also has a partnership with Udacity in order to offer a new Deep Learning Nanodegree Foundation program. Udacity will also be providing guaranteed admission to their Artificial Intelligence and Self-Driving Car Nanodegree programs to all graduates. 

Is this a good marketing effort bu Udacity? Will it reach new and disconnected learners? Will they simply use the videos and resources to learn or make that connection to some kind of degree/certification that might tell an employer that they know something about deep learning? I don't have the deep learning program that can predict that. I'm not sure it exists. Yet.


This is the code via GitHub for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube

This lesson uses simple linear regression. "Simple" is a relative term here, as many people would not find it simple, as in "easy." It is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables. This lesson via Penn State introduces the concept and basic procedures of simple linear regression.

You might also want to look at this tutorial on the topic via machinelearningmastery.com.

MOOCs are the Zombies of Online Education

The death of the MOOC has been declared since 2013 (the year after it was the "year of the MOOC") but they seem to come back to life again.

Udacity vice president Clarissa Shen said recently “they are dead.. a failed product, at least for the goals we had set for ourselves, Our mission is to bring relevant education which advances people in careers and socio-economic activities, and MOOCs aren't the way.”

Back in 2013 after only a year, Udacity’s co-founder, Sebastian Thrun, announced a “pivot” away from MOOCs. But Udacity still offers  a form of the MOOC in its paid sequences of courses called “nanodegrees” that it produces in cooperation with large tech employers and still offers free versions of its course videos for those who don’t want or need a certificate of completion.