Current/Future State of Higher Education — from Educause Live by George Siemens, Andy Caulkins, Malcolm Brown

Change drivers

  • Globalization
  • Commercial/entrepreneurial activity
  • Funding cuts
  • Online learning
  • Unbundling of education systems
  • Technology advancement (mobiles)
  • Employment-oriented education
  • Big data and analytics

Net Pedagogies: New Models for Teaching & Learning

  • New pedagogies emerging from:
    • Concerns about how well institutions are meeting their mission, on behalf of students they serve
    • Pressures resulting from feeling constrained within the “Iron Triangle” of costs, access, and quality
    • New technologies
  • How to balance personalization with competency-based pathways
  • How to build community among students who are geographically distant and proceeding at different rates (a different cohort dynamic taking place here)
  • Personalized learning divisions/groups
  • Innovation labs <– From DSC: This lines up nicely with my posting here


  • Deborah Quazzo, GSV Advisors
  • Velocity of change
  • e-books up
  • 200K education apps
  • 98% of students own some sort of device
  • Coursera — 33 partners, 1.7 million students
  • 13% of students now at for-profits
  • The Bear Story
    • Readiness — freshmen often needing remediation
    • Completion rates
    • Cost
    • Career
  • Venture capital and startups increasing
  • What’s driving investment
    • Funding issues
    • Accountability
    • Technology
    • Consumer choice
  • Waves of HE innovation
  • “Traditional institutions are not standing still”
  • Higher ed arms race — online program delivery (tuition-based) / MOOC (free)
  • Growth in MOOC students — .51 in Fall 2011, 2.79 in Fall 2012; 447% growth rate
  • Need to increase learning outcomes, access, capacity, and decrease costs

Big Data & Analytics

  • Erik Duval, Simon Buckingham Shum, Caroline Haythornthwaite
  • State of learning analytics
    • Open analytics
    • Standards
    • Methods and metrics
    • Impact on learner success
    • Early risk detection
    • Common language
    • Institutional use of analytics
    • Planning and deployment of LA
    • Move from concept to application
  • Participation wall seems to be occurring 30-40% of the time into the course
  • 762 tweets, 305 links, 172 RTs, 244 Unique Twitter accounts

Leadership in Education

  • James Hilton
    • Characterizing change
    • Not a linear system often times; instead, an emergent change; not always orderly and linear
    • Unknown end point
    • Adjust as you go
    • Adjust fundamental conditions
      • 2 fundamental forces in HE
      • Commoditization
      • Unbundling
    • “Find your North Star”
  • George Mehaffy
    • Challenge and change article
    • Massive change and great uncertainty
    • Technology changes everything
    • Traditional institutions loss of control
    • Students abilities to interact and learn without mediating
    • “Outsiders” becoming players
    • Venture capital
    • Models of college changing
    • Course models
    • Data analytics
    • Cost discrepancies
    • Measuring success
    • Loss of credentialing monopoly
    • Leadership vacuum
    • Change is rapid, profound, emergent
    • We need to rethink HE leadership model
    • We need to rethink HE in many fundamental dimensions
    • Now is the time for bold, imaginative, entrepreneurial leadership

Distributed Research

  • Traditional methods of sharing research, established centuries ago
  • Need to re-imagine those methods and generate higher, faster, better outcomes from research
  • Challenges: pace, dissemination, incentive to collaborate
  • Opportunities: immediacy, openness, new/richer tools and indicators, unprecedented progress

Still some challenges in offering a MOOC-based course:

  • Skillset development
  • Getting participants orientated to the course
  • Technological glitches



Other resources/links: