Big Data. Big Decisions
InformationWeek
Special Coverage Series


Is 2013 Year Of The MOOC?

Massive open online courses are forcing institutions to consider how to offer course credit and verify student identities.

10 Social Networks For Special Interests
10 Social Networks For Special Interests
(click image for larger view and for slideshow)
What kind of credit should be given a student half a world away, one who never set foot on the campus and who experienced school as a mix of self-guided instruction, "personalized" online classes and computerized grading?

Some observers -- notably those offering commercial, computer-mediated instruction outside the traditional college and university system -- say it's time to rethink educational credentialing in secondary education.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

"The idea of a noncollege offering credit was controversial until 2012," said Burck Smith, CEO at Straighterline, an online service offering introductory courses. Burck was one of the speakers at "Rebooting Higher Education: Leveraging Innovations in Online Education to Improve Cost Effectiveness and Increase Quality," a day-long conference at UCLA earlier this month on the impact of massive open online courses (MOOCs) and other forms of online, computer-mediated instruction on higher education in California.

[ Online learning still faces an uphill battle. Read Online Education Policy Draws Fire In California. ]

Although Straighterline is not accredited, its course credits have been accepted at some 300 colleges, Smith said.

Smith believes the current regulations regarding which institutions can confer degrees on students need to reformed. College and university business models today require "keeping other providers out," he declared during the UCLA event.

Although thorny questions around accreditation raised by Smith will continue, a number of services even now are trying to answer a related question: How to verify the identity of a network-connected student.

Last year, for instance, Colorado State University's Global Campus said it would give three transfer credits to students who both complete "Introduction to Computer Science: Building a Search Engine," a free course offered by Udacity, and take a proctored test.

To obtain the credits, the school is requiring students take a proctored test administered in a Pearson VUE facility. Peason VUE, which announced a similar arrangement with edX, offers proctored testing at about 4,000 sites worldwide. Both Udacity and edX charge a nominal fee for the optional proctored tests.

But proctored tests are just one way to verify an online student's identity.

Earlier this month, Coursera, the largest provider of (MOOCs) in the United States, announced a program to verify students. The "verified certificates" from Coursera rely on photo IDs, submitted via webcam, and typing a sample phrase. The two are combined to create a biometric profile that is checked when students submit work and tests.

Called Signature Track, Coursera's system is being launched for five courses from four universities, specifically a nutrition health class from the University of California, San Francisco; a computational investing class from Georgia Tech; a microeconomics course from the University of Illinois; and an introductory Duke class on genetics and evolution.

The price of Signature Track depends on the course, but will range from $30 to $100, Coursera said.

Critics note that even if the Signature Track works as advertised, it does not ensure that the "student" on the other end of the test isn't in reality someone else, or even more than one person. Indeed, the verified certificates will not count toward a degree.

Meanwhile, Coursera and other MOOCs are working with the American Council on Education (ACE), which is evaluating credit equivalency for these courses.

ACE's College Credit Recommendation Service, started in the 1970s, certifies training courses offered outside of traditional colleges. In 2011, StraighterLine became one of the first online institutions to be included in the ACE program.

Attend Online Marketing Summit San Diego, Feb. 11-13, and gather the insights and strategies you need to make the right online marketing choices to deliver the most value for your business. OMS San Diego offers three days of inspiration, connections, and practical learning.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.