The document discusses quality assurance issues for e-learning in light of technological and social trends. Key points addressed include: - Emerging technologies like ubiquitous computing, open data, learning analytics, and collaboration technologies impact e-learning delivery and quality assurance. - Social changes increase demands on education to do more with increased efficiency and personalization while maintaining quality. - Quality assurance faces challenges from threats like content management issues, "diploma mills", and lack of learning design or pedagogical soundness in some online programs. - Many quality models exist for e-learning and MOOCs but determining the best fit approach for different programs remains a challenge.

1. QUALITY ASSURANCE OF E-LEARNING
METHODOLOGIES & ISSUES TO CONSIDER
ANTHONY F. CAMILLERI – KNOWLEDGE INNOVATION CENTRE
ELIXIR WORKSHOP, LJUBLJANA 15/09/2015

2. TECHNOLOGICAL TRENDS
Ubiquitous Computing
access to computing
power any time
anywhere
Open Data
access to any
information any time
anywhere
Learning Analytics
ability to base teaching
decisions on data
Semantic Search
ability to talk and
converse with machines
Collaboration
Technologies
ability to collaborate with
anybody in real-time
Personalisation
Technologies
move away from
traditional massification
concepts

3. SOCIAL CHANGES MEAN INCREASED DEMANDS FROM
EDUCATION
 provide graduates to supply the
knowledge economy
 increase efficiency of processes
 extend reach of programmes
 adapt content to ever-
changing priorities
do
more,
better,
with

4. THREATS TO QUALITY ONLINE EDUCATION
Content
Management
Diploma Mills
Digital
Evangelism
instead of
Learning Design Quality Degrees
Pedagogical
Soundness

5. SELECTED TRENDS IN ONLINE, OPEN AND FLEXIBLE HIGHER
EDUCATION
Quality
Labels
for e-
learning
Learning
Analytics
Increasing
demand for
recognition &
portability
Growth of
OER

6. QUALITY MODELS FOR E-LEARNING
 40+ Quality Models on OER; MOOCs, E-
learning, Online learning
Certification
Benchmarkin
g
Accreditation Advisory

7. QUALITY MODELS LOOK AT THE SAME ASPECTS
Three significant areas related to quality in online learning, including
e-learning (Ossiannilsson, 2012).
QA challenge:
which quality
approach
fits me best?

8. LEARNING ANALYTICS CAN TELL US
methods
• A/B Testing
• usage statistics on resources
• detailed grading data
• social network analysis
• live performance monitoring
• student record monitoring
tell us
• how students interact with
materials, each others and tutors
• which materials and methods
work best
• which students are in danger of
falling behind
• social issues & equity issues

9. QA-RELATED ISSUES TO CONSIDER
Can we claim a course
to be quality without
data?
How do we define an
expert in the future?

10. GROWTH IN OPEN EDUCATIONAL RESOURCES
April 2014:
3045 learning
repositories – 7%
growth year-on-year
with 12 million
learning objects
Source:
repository66.org

11. GROWTH IN MOOCS
March 2015:
1139 European
MOOCs
220% Year-on-Year
Growth
Source:
openeducationeuropa.eu

12. QA-RELATED ISSUES TO CONSIDER
How to adapt teacher
performance metrics to
consider use/re-use of
their resources?
How does open
resources affect
concepts of efficiency?

13. INCREASED DEMAND FOR RECOGNITION
 Badges
 Certificates of
attendance
 Certificates of
completion
 ECTS
 Diplomas and
Degrees
easily mapped to
Qualifications Framework
Hard/Impossible to map to
Qualifications Framework

14. CHALLENGES FOR QA
Equivalent Quality
across all qualification
types
Quality of the
Qualification itself
(recognition & portability as elements
of quality)

15. THANK YOU FOR
YOUR ATTENTION
ANTHONY F. CAMILLERI
ANTHONY@KNOWLEDGEINNOVATIONEU
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