Next Generation Learning and the Innovation ImperativeJosh Jarrett, Senior Program OfficerSeptember 10th, 2010Source: Seattle Times, Tuesday, January 26, 2010
My frame of reference9 years in the private sector:Strategy and management consultant
Software entrepreneur
MBA6 years in the nonprofit sector:Consultant to National Park Service, charter schools, and health services
Foundation program officer – innovative technology and delivery in postsecondary edMotivations:Increased access to opportunity
Hard problems
Problems that matter
Impatient actors2
Our foundation’s work“All lives have equal value”US PROGRAM-WIDE GOALCOLLEGE-READYPOSTSECONDARY SUCCESSDouble the Number of Low-Income Young Adults Who Earn  A Postsecondary Credential With Value in the Labor MarketExpanded opportunity for all AmericansImprove College-Ready Graduation Rates from High School3
The Innovation ImperativeThe Innovator’s DilemmaFive Trends I'm WatchingCo-Designing the Future 4
Four Challenges for the Next DecadeDemographic challengeIncreasing diversity
Low academic readiness
“Non-traditional” new normalCompletion challengeStagnant ~40% AA+ attainment levelsMiddle skill job demandLow completion ratesFunding challengeState budget cuts
Limits to student and family ability to pay and to borrowScaling challenge“Islands of innovation”
Fragmented decision-making and incentives5
2Completion challengeEducational attainment for non-low-income 26 year oldsAverage income Bachelors:  $59,635
 H.S. diploma: $33,609United States postsecondary attainment: 1980:  #1
 2010:  #10
 2020:  #15Educational attainment for low-income 26 year oldsSource: Bureau of the Census, Bureau of Labor Statistics. OECD, National Longitudinal Survey of Youth.  Note:  Low income defined as 185% of poverty line, consistent with K-12 free and reduced lunch threshold
Demographic challenge“Traditional”Enter college directly after high school
Enroll fulltime
Financially dependent on their parents25%“Non-traditional”Financially independent (>50%)
Have dependents of their own (27%)
Work full time (38%)
Enroll part time (49%)75%Source:  The Other 75%: Government Policy & Mass Higher Education., Paul Attewell  (unpublished).
Funding challengeSource:  Association of American Publishers (AAP)
Scaling challenge2007 Education marketNumber of companiesActual companiesProjected distributionOnly 2 of 67 orgs funded by US Department of Education innovation grants scaled/are still operationalRevenueUS$ Millions1520100400Source:  McKinsey analysis of EMR 2007 K-12 report and Berkerey Noyes 2007 investment analysis (unpublished)
The innovation imperativeScalable seat capacity
Flexibility to meet non-traditional students’ needs
Higher engagement, relevance, and retention
Increased participatory and peer-to-peer learning
Accelerated learning pathways
Integration of technical skills, soft skills, and 21st century skills
Clearer, shared measures of success
Improved cost-effectivenessThe Innovation ImperativeThe Innovator’s DilemmaFive Trends I'm WatchingCo-Designing the Future 11
Innovator’s Dilemma12
The “Iron Triangle” suggests a degree of paralysis“In the view of many college and university presidents, the three main factors in higher education—cost, quality, and access—exist in what we call an iron triangle. These factors are linked in an unbreakable reciprocal relationship, such that any change in one will inevitably impact the others.”              - Public Agenda research on opinions of higher education presidentsSource:  The Iron Triangle:  College Presidents Talk About Costs, Access, and Quality, Public Agenda, October 2008.
The revolution will not be televisedEmerging Product Categories P2PSocialGamesLearning GamesSimulationSocial NetworksMobileOpen Publishing AggregatorsFormal  LearningInformal  Learning Reference-wareOnline LearningTutoringOnline ResourcesCommunity DrivenInterven-tionsServices OrientedLearning CommunitiesContent DrivenPlatform DrivenEstablished Product CategoriesSource:  Startl
The Innovation ImperativeThe Innovator’s DilemmaFive Trends I'm WatchingCo-Designing the Future 15
Five Trends I'm WatchingLecture model challenged by virtual teams and shared courseware 116
“Improvement in post-secondary education will require converting teaching from a ‘solo-sport’ to a community-based research activity.”-Herbert Simon, Nobel Laureate

Next Generation Learning and the Innovation Imperative

Editor's Notes

  • #2 Greetings, etc
  • #20 OLI evaluation efforts have investigated OLI courses’ effectiveness not only in stand-alone mode, but also in an instructor-led “accelerated learning” mode. This type of study owes its origins to Ben Bloom’s mastery learning concept and the subsequent accelerated schools program. The most common dependent measure used in such studies is time, i.e. the time it takes a learner to complete a particular amount of material, with proper assessment of equivalent learning outcomes. In these studies of OLI courses, we have demonstrated accelerated learning by showing that a learner can complete a semester-long course in significantly less than a semester and/or that a learner can complete significantly more than a semester’s worth of material within a semester’s time. Results showed that OLI-Statistics students learned a full semester’s worth of material in half as much time and performed as well or better than students in traditional instruction. Two studies conducted at Carnegie Mellon tested whether learners using the OLI course in hybrid mode—that is, students meeting with instructors regularly, but less frequently than in traditional courses, while also using the online modules and assignments of OLI- Statistics—would learn the same amount of material in a significantly shorter time than students in traditional class formats. Results exceeded expectations: OLI-Statistics students completed the course in 8 weeks with 2 class meeting per week, while traditional students completed the course in 15 weeks with 4 class meetings per week. Significantly, student logs showed that the OLI students spent no more total time studying statistics outside of class than the traditional students. Yet the OLI students demonstrated as good or better learning outcomes than the traditional students. Further, there was no significant difference in retention between OLI students and traditional students in tests given 1+ semesters later.[i] Usually, that kind of effectiveness or efficiency effect would be expected only as the result of individualized, human-tutored instruction. And yet in this case, students who met for less than two hours of class per week demonstrated phenomenal performance. [i] M. Lovett, O. Meyer, & C. Thille, C., “The Open Learning Initiative: Measuring the effectiveness of the OLI statistics course in accelerating student learning,” Journal of Interactive Media in Education (2008), http:// jime.open.ac.uk/2008/14/