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Dr. Gigi Johnson, Maremel Institute
Nov. 22, 2013
Sloan Consortium International Conference on Online Learning
Is University Video the New
UGC?
Instructional video can be
more than capturing
blended courses with "just a
webcam."

Sources: The Daily, Lizzie Bennett Diaries,
FutureLearn
UGC: Technology Changes
Shift Core Assumptions
Friction
Mixing roles
• Time
• Place
• Connection

New creative
uses with
cheaper tools

• New reaggregators
• New economics
• Pushback from
existing players
Long-Term Driver:
We Hold Smart Devices in our
Hands as Consumers

Cartoon, Gordon Moore article
Electronics, Volume 38, Number 8, April 19, 1965.
We Have Arrived
as Producers . . .

. . . With computers and cameras in all of our hands .
..
Decreased Costs Bring Shifts
to Profitable Core Business

Innovator’s Dilemma: Clay Christensen
This Shift Story is Old:
Film Pushed Back to TV

Source: Library of Congress. FCC 1939.
Music: Post-Shift, We Have
Built Onramps to a “Singles”
Model

Post-UGC Shift: New Ventures re-aggregating and
creating On-Boarding Tools/Systems

Source: RIAA figures; Digital Music News
Books: We’re Mid-Shift,
Building New Models and
Processes
TV, Mid-UGC Shift, is
Building 3 New Patterns
US Unique Videos (000)
Viewers (000)

Minutes per
Viewer/ Mo.

YouTube/
Google
Facebook
AOL
Microsoft/ MSN

165,422

16,166,830

462

67,169
61,784
49,175

975,048
976,316
644,416

25
61
33

NDN
VEVO
Yahoo!
Viacom
Amazon
CBS Interactive

49,090
48,985
44,803
38,214
32,909
31,144

532,589
617,360
322,827
404,014
143,206
213,629

79
42
64
45
24
45

188,690

45,963,898

Totals
Netflix Subs

31,100

Hulu Viewers

24,100

2,400

Source: ComScore
Universities Have Long Explored
Shifting Models

KUHT . "Dr. Richard I. Evans." June 8, 1953. University of Houston Digital Library.
<http://digital.lib.uh.edu/u?/p15195coll38,195>
By 2011, Online Had Connected
with 32% of US Higher Ed
Students

6.7 million students in the U.S. took at least one online course in
2011
Sources: 2012 Survey of Online Learning, Babson
“Traditional” Online Has
Reached Scale in Degree
Packages
235,000
enrollments in
1,200 courses

27,000 students

Oblinger (2012)

50,000
enrollments to
10,300 students
in 70 degree and
certificate
programs

Online courses to
7,000 of its 31,000
students

30,000 students for
$6,000/year each

Rio Salado College
(AZ), with 40,000
students with its online
programs
Universities Have Built
Experiments and Expansions
"After five years the cost of providing high-quality courses
and services at affordable prices was unfortunately not
sustainable over time in the All Learn model."
All Learn, 2006
"The problems that Fathom was trying to address -- how
to connect with lifelong learners, how to provide
authenticated information -- are an important challenge.
... I wish that the national economics could have
supported a longer experiment.“ James Hilton, 2003, U.
of Michigan
MOOCs: Shifting to
Reaggregated Singles
Distributor (Founding)

Alexa
% US
Global
#
Visitors
Rank Courses Sept 2013 Ownership

Coursera (2012)

1,878

517

23% VC/Private, US

OpenSAP (2013)

2,652

13(?)

edX (2012)

6,960

74

24% Non-Profit, US

Udacity (2012)

7,019

28

26% VC/Private, US

NovoED (2013)

16,846

23

31% VC/Private, US

iVersity (2013 pivot)

22,151

24

Canvas Network (2012)

65,519

97

39% Instructure/Private, US

FutureLearn (2013)

70,033

25

9% Open Univ./Private, UK

Open2Study (2013)

82,301

32

6% Open Univ, Australia

CourseSites (2011)

111,411

42

45% Blackboard/Private, US

OpenLearning (2012)

139,912

14

10% Private, Australia

16% Private, Germany

5% Germany

Sources: Alexa, Class-Central, Crunchbase
What are the Impacts of These
Trends as a “New” UGC?
>800 MOOC classes produced to date
>30% of US university students taking online
classes
How is this effort affecting F2F teaching, as
well as production of blended and online
courses?
 How are we are learning as multimedia
creators in education?


5 Short Cases as Examples
Case 1: Creating In-House
Videos
In-House Videos
at a Major
University,
Masters Program
• Faculty slides with
bullet points – no
development
assistance
• Buying equipment
from Amazon
• Post for students to
use for content with
quizzes as proof
• No iteration
• No feedback
• No IP recognition
or questions
Case 2: BYOD Faculty Media
Creation

Faculty Training, Graduate University
• Focus on storage
• Now-abundant faculty video within Moodle
environment
• No measurement of his results and no goals
to where things are going, but WITH faculty
buyoff on creating content.
• Dead and released faculty content still in
system
Case 3: Five Online Programs
Cross-University Study, Major University
 Self-Trained Fiefdoms
 5 separate studios and 5 different
programs
 No IP recordkeeping system
 Diverse contracts and pay systems
Case 4: Roll Your Own Content

Independent Faculty, Thin/Variable Support, Major
University Department
•
•
•
•
•

Create their own blended content, or varies by department
Counting on Moodle 2.3 to ask about if they own the IP
No support, iteration, measurement, storage
Just getting Kaltura in as a storage system vs. content being put anywhere
YouTube largest playback of video source
Case 5: Recording Classes
with an Outside Entity and
Funding

IP issues
 Pedagogical “say so” from experienced
faculty -- Friction
 Confusion in implementation – getting
faculty to deliver on their side;
communication; understanding culture
 Funded by other parties – no financial
stake in costs

5-10% of Higher Ed Chasing
Lecture Capture








Focus on webcam or simple studios
Capturing Lectures in different modes
Integrating YouTube or other videos
Minimal thinking about cognitive load, IP
tracking, adaptive learning, and
accessibility
Storage and discovery challenges
Organizational focus on “online” and
“MOOCs,” with fewer resources toward
blended
Are We Adopting the Best of
Other Industries’ UGC
Trends…Yet?









Just-In-Time video
watching -- mobile
“found time”
Binge viewing (a la
Netflix)
Amazon-style discovery
and recommendation
tools
New aggregators to
maneuver data –
shared audiences, flow
of audiences
Fansites and Fanfiction
as new, engaged
multimedia experiences








Heat-mapping – data
visualization of
geography patterns for
planning
Use of Super Fans
(Whales, Dolphins,
Minnows) to treat
different users differently
Syndication
Metadata, metadata,
metadata
What Are the Issues We are
Wrestling With?
Who owns the compiled rights?
 Who measures and rewards the faculty
time involved in flipping and blending?
 What is the real cost to product these
with hourly and non-exempt staff?
 Who validates the quality of the content
and effectiveness of the production
choices?

How are We Wrestling with the
Money Issues?


Should Universities be financing video and
multimedia just for their own blended use?
 Economics – if average lecturer paid <$5K, adding

$3,000/hour or $10,000+++ for video production
makes sense?





What are the Buy-Build-Share decisions?
Are MOOCs -- a "freemium" business model -just the starting point of intriguing syndication
models between universities?
What is the lifecycle of blended course
production content?
 How will these libraries be measured, refreshed and

monitored?
Why Not Best Practices from
Traditional Online and UGC?
Example: Retention rates
 50% “traditional” online without nurturing/design
 5-10% involvement in other web media (e.g.,

blogs, comments, actions) for free engagement
 Why should MOOCs at 5-15% be better?

Tools:
 Audience management – variable messaging,

reminding, behavior monitoring
 Adaptive learning – touted trend in education –
why are Blended classes and MOOCs often the
opposite?
We Can Embrace Growth
Opportunities from UGC







Curation: Discovery, improvement, and reuse
Integration: Systemic integration, review, and
planning

Syndication: Buy/Build/Share Between Organizations
Open APIs – grow ecosystems from other’s time and
investment, imagination, and time
One Option: We Can Build “a
Netflix for University-Generated
Content”
 Subscription-based licensing of “second run”






classes – after blended university use for
individual classes, repackaged for other
courses, or for JIT, Binge, or Burst learning
Tools for personalization, recommendation,
and adaptive learning
Data-rich – who/what/where – feedback into
other learnings as recommendation engine
Searchable with “expanded surface area” like
Inkling
Connected with enhanced content and other
related media
Connectable into various LMS systems
Who Will Re-Aggregate Our Futures?

Gigi Johnson, EdD
Maremel Institute
@maremel

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The New UGC: University-Generated Content

  • 1. Dr. Gigi Johnson, Maremel Institute Nov. 22, 2013 Sloan Consortium International Conference on Online Learning
  • 2. Is University Video the New UGC? Instructional video can be more than capturing blended courses with "just a webcam." Sources: The Daily, Lizzie Bennett Diaries, FutureLearn
  • 3. UGC: Technology Changes Shift Core Assumptions Friction Mixing roles • Time • Place • Connection New creative uses with cheaper tools • New reaggregators • New economics • Pushback from existing players
  • 4. Long-Term Driver: We Hold Smart Devices in our Hands as Consumers Cartoon, Gordon Moore article Electronics, Volume 38, Number 8, April 19, 1965.
  • 5. We Have Arrived as Producers . . . . . . With computers and cameras in all of our hands . ..
  • 6. Decreased Costs Bring Shifts to Profitable Core Business Innovator’s Dilemma: Clay Christensen
  • 7. This Shift Story is Old: Film Pushed Back to TV Source: Library of Congress. FCC 1939.
  • 8. Music: Post-Shift, We Have Built Onramps to a “Singles” Model Post-UGC Shift: New Ventures re-aggregating and creating On-Boarding Tools/Systems Source: RIAA figures; Digital Music News
  • 9. Books: We’re Mid-Shift, Building New Models and Processes
  • 10. TV, Mid-UGC Shift, is Building 3 New Patterns US Unique Videos (000) Viewers (000) Minutes per Viewer/ Mo. YouTube/ Google Facebook AOL Microsoft/ MSN 165,422 16,166,830 462 67,169 61,784 49,175 975,048 976,316 644,416 25 61 33 NDN VEVO Yahoo! Viacom Amazon CBS Interactive 49,090 48,985 44,803 38,214 32,909 31,144 532,589 617,360 322,827 404,014 143,206 213,629 79 42 64 45 24 45 188,690 45,963,898 Totals Netflix Subs 31,100 Hulu Viewers 24,100 2,400 Source: ComScore
  • 11. Universities Have Long Explored Shifting Models KUHT . "Dr. Richard I. Evans." June 8, 1953. University of Houston Digital Library. <http://digital.lib.uh.edu/u?/p15195coll38,195>
  • 12. By 2011, Online Had Connected with 32% of US Higher Ed Students 6.7 million students in the U.S. took at least one online course in 2011 Sources: 2012 Survey of Online Learning, Babson
  • 13. “Traditional” Online Has Reached Scale in Degree Packages 235,000 enrollments in 1,200 courses 27,000 students Oblinger (2012) 50,000 enrollments to 10,300 students in 70 degree and certificate programs Online courses to 7,000 of its 31,000 students 30,000 students for $6,000/year each Rio Salado College (AZ), with 40,000 students with its online programs
  • 14. Universities Have Built Experiments and Expansions "After five years the cost of providing high-quality courses and services at affordable prices was unfortunately not sustainable over time in the All Learn model." All Learn, 2006 "The problems that Fathom was trying to address -- how to connect with lifelong learners, how to provide authenticated information -- are an important challenge. ... I wish that the national economics could have supported a longer experiment.“ James Hilton, 2003, U. of Michigan
  • 15. MOOCs: Shifting to Reaggregated Singles Distributor (Founding) Alexa % US Global # Visitors Rank Courses Sept 2013 Ownership Coursera (2012) 1,878 517 23% VC/Private, US OpenSAP (2013) 2,652 13(?) edX (2012) 6,960 74 24% Non-Profit, US Udacity (2012) 7,019 28 26% VC/Private, US NovoED (2013) 16,846 23 31% VC/Private, US iVersity (2013 pivot) 22,151 24 Canvas Network (2012) 65,519 97 39% Instructure/Private, US FutureLearn (2013) 70,033 25 9% Open Univ./Private, UK Open2Study (2013) 82,301 32 6% Open Univ, Australia CourseSites (2011) 111,411 42 45% Blackboard/Private, US OpenLearning (2012) 139,912 14 10% Private, Australia 16% Private, Germany 5% Germany Sources: Alexa, Class-Central, Crunchbase
  • 16. What are the Impacts of These Trends as a “New” UGC? >800 MOOC classes produced to date >30% of US university students taking online classes How is this effort affecting F2F teaching, as well as production of blended and online courses?  How are we are learning as multimedia creators in education?  5 Short Cases as Examples
  • 17. Case 1: Creating In-House Videos In-House Videos at a Major University, Masters Program • Faculty slides with bullet points – no development assistance • Buying equipment from Amazon • Post for students to use for content with quizzes as proof • No iteration • No feedback • No IP recognition or questions
  • 18. Case 2: BYOD Faculty Media Creation Faculty Training, Graduate University • Focus on storage • Now-abundant faculty video within Moodle environment • No measurement of his results and no goals to where things are going, but WITH faculty buyoff on creating content. • Dead and released faculty content still in system
  • 19. Case 3: Five Online Programs Cross-University Study, Major University  Self-Trained Fiefdoms  5 separate studios and 5 different programs  No IP recordkeeping system  Diverse contracts and pay systems
  • 20. Case 4: Roll Your Own Content Independent Faculty, Thin/Variable Support, Major University Department • • • • • Create their own blended content, or varies by department Counting on Moodle 2.3 to ask about if they own the IP No support, iteration, measurement, storage Just getting Kaltura in as a storage system vs. content being put anywhere YouTube largest playback of video source
  • 21. Case 5: Recording Classes with an Outside Entity and Funding IP issues  Pedagogical “say so” from experienced faculty -- Friction  Confusion in implementation – getting faculty to deliver on their side; communication; understanding culture  Funded by other parties – no financial stake in costs 
  • 22. 5-10% of Higher Ed Chasing Lecture Capture       Focus on webcam or simple studios Capturing Lectures in different modes Integrating YouTube or other videos Minimal thinking about cognitive load, IP tracking, adaptive learning, and accessibility Storage and discovery challenges Organizational focus on “online” and “MOOCs,” with fewer resources toward blended
  • 23. Are We Adopting the Best of Other Industries’ UGC Trends…Yet?      Just-In-Time video watching -- mobile “found time” Binge viewing (a la Netflix) Amazon-style discovery and recommendation tools New aggregators to maneuver data – shared audiences, flow of audiences Fansites and Fanfiction as new, engaged multimedia experiences     Heat-mapping – data visualization of geography patterns for planning Use of Super Fans (Whales, Dolphins, Minnows) to treat different users differently Syndication Metadata, metadata, metadata
  • 24. What Are the Issues We are Wrestling With? Who owns the compiled rights?  Who measures and rewards the faculty time involved in flipping and blending?  What is the real cost to product these with hourly and non-exempt staff?  Who validates the quality of the content and effectiveness of the production choices? 
  • 25. How are We Wrestling with the Money Issues?  Should Universities be financing video and multimedia just for their own blended use?  Economics – if average lecturer paid <$5K, adding $3,000/hour or $10,000+++ for video production makes sense?    What are the Buy-Build-Share decisions? Are MOOCs -- a "freemium" business model -just the starting point of intriguing syndication models between universities? What is the lifecycle of blended course production content?  How will these libraries be measured, refreshed and monitored?
  • 26. Why Not Best Practices from Traditional Online and UGC? Example: Retention rates  50% “traditional” online without nurturing/design  5-10% involvement in other web media (e.g., blogs, comments, actions) for free engagement  Why should MOOCs at 5-15% be better? Tools:  Audience management – variable messaging, reminding, behavior monitoring  Adaptive learning – touted trend in education – why are Blended classes and MOOCs often the opposite?
  • 27. We Can Embrace Growth Opportunities from UGC     Curation: Discovery, improvement, and reuse Integration: Systemic integration, review, and planning Syndication: Buy/Build/Share Between Organizations Open APIs – grow ecosystems from other’s time and investment, imagination, and time
  • 28. One Option: We Can Build “a Netflix for University-Generated Content”  Subscription-based licensing of “second run”      classes – after blended university use for individual classes, repackaged for other courses, or for JIT, Binge, or Burst learning Tools for personalization, recommendation, and adaptive learning Data-rich – who/what/where – feedback into other learnings as recommendation engine Searchable with “expanded surface area” like Inkling Connected with enhanced content and other related media Connectable into various LMS systems
  • 29. Who Will Re-Aggregate Our Futures? Gigi Johnson, EdD Maremel Institute @maremel

Notas del editor

  1. Video screenshots:Upper Right: The Daily, Best Cat VideosBottom Right: Lizzie Bennett Diaries, online seriesBottom Left: FutureLearn, 2013 classWhat are ongoing trends that could be pushing up both your costs and expectations?What should be in your own Buy/Build/Share decisions on course creation, iteration, and planning?
  2. Established roles of time, place, connection to users – pushback while new content is created
  3. Our costs of creating are now “free” or perceived to be freeLower costs of creationLower barriers to entry, sharing, and distributionNew social norms from mass production has affected expectations and is shifting social norms.
  4. New technology – committee for sound, forbid actors on TV
  5. Investments in small ventures with minimal fundingDeal with external party with iTunesSpotify as alternative vs. piracyMusic – to YouTube and iTunes – reaggregators, people creating for freeOnramping parties to deal with integration across systems
  6. NDN – News Distribution Network – Professional ecosystemHulu – insiders with big investment and only two parties’ content (mostly); after 30,000 downloads/show, offering podcast talent showsNetflix – outsiders, sneaking in distribution window of Pay Cable TVVideo – YouTube – heading to MCNs
  7.  NYU Online, Fathom, Virtual Temple, and University of Maryland University College OnlineAll Learn (Alliance for Lifelong Learning) – Oxford, Stanford, Yale – 110 online courses to more than 10,000 students from 70 countries selective big investment without market there yetFathom (2000-2003): Columbia University  London School of Economics and Political Science, the British Library, the New York Public Library, Cambridge University Press, and the Smithsonian Institution&apos;s National Museum of Natural History. Separate question – expanded creation of videoKaltura – video media serviceiTunes U – Giving away content to someone else to gain audience
  8. 3 of them -- Stanford inside – spun out – externalMIT/Harvardx – external-ish – combined venture outside of the universities w/UCBerkeleyCoursera dominant – online – OpenSAP – 18,033 learners were enrolled on day 1 of the course.When the final exam ended, this number had increased to 40,386.15,748 learners actively participated in the course.10,795 learners took the final exam.9,383 graded records of achievement were issuedFor most, less individualized – Mass = Identical
  9. Case 1: In-House Videos at a Major University, Masters ProgramFaculty slides with bullet points – no development assistanceBuying equipment from AmazonPost for students to use for contentNo iterationNo feedbackNo IP recognition or questions
  10. Case 2: Faculty Training, Graduate UniversityFocus on storage Now-abundant faculty video within Moodle environmentletting faculty create all of their own content – faculty setting their own content out YouTube and Vimeo for student use, boycotting use of Kaltura. BYOD technology by faculty creating some great and awful content. 1 educational technology support person for 150 faculty. No measurement of his results and no goals to where things are going, but WITH faculty buyoff on creating content. Diverse location across many time zonesAsynchronous training hub – encouraged abundance of creation without tethers – boosted desire for training among top 10%Dead and released faculty content still in system
  11. Case 3: Cross-University Study, Major University5 separate studios and 5 different programs
  12. Case 4: Independent Faculty, Thin/Variable Support, Major University DepartmentCreate their own blended content, or varies by departmentCounting on Moodle 2.3 to ask about if they own the IPNo support, iteration, measurement, storage. Just getting Kaltura in as a storage system vs. content being put anywhere. YouTube largest playback of video source.
  13. Case 5: Masters Program, Online Sessions,Major Universitysame problems with implementation, hiring for $25K per class, customized for your own content, financed by a publishing company for their use, problems on implementation on getting faculty buy-off. Hiring animators from industry and film school without consideration of cognitive load and accessibility.
  14. Using webcam or simple studiosVarying applications of Lectures in different modesPlugging in YouTube videosMinimal thinking about cognitive load and accessibility. Organization focus on “online” and “MOOCs,” with fewer resources toward blended. Focus on Lecture as the ideal learning mode – or are their other trends?
  15. MarketplaceCommunity ManagementUpsellingAllows JIT learning and binge viewing and packages for LMS and LT data useData plus audience systemsUdemy and curious and Lynda – JIT learningMobile as use of “found time” – contrasts with MOOC assumptionsCES – onboardingFB – content resultsAmazon style discovery and recommendation tools
  16. 50% “traditional” online5-10% involvement in other web media (e.g., blogs, comments, actions) for free engagementWhy should MOOCs be better? 7.5% March 2013 Chronicle of Higher Ed StudyAudience management – variable messaging, reminding, behavior monitoringAdaptive learning – touted trend in education – why are MOOCs the opposite?
  17. CurationIntegrationSyndicationOpen APIs – grow ecosystems from other’s time and investment, imagination, and time
  18. Individualization tools that can be brought back to individual university use Mass not equal identicalAudience management systems – freemium model in subscription Data – who/what/where – feedback into other learnings as recommendation engineIn other sectors, onramping – ecosystems to help social and creative content find community and commerce. Loss leaders – for what? Economics – if average lecturer paid &lt;$5K, adding 3,000/hour for video production makes sense?