ride2013 presentation: a puzzled look at moocs

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A puzzled person looks at MOOCS Ormond Simpson Visiting Fellow, Centre for Distance Education University of London Previously Visiting Professor, Open Polytechnic of New Zealand Previously Senior Lecturer in Institutional Research, Open University 1 RIDE 2013

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Presentation from 'Enhancing the student experience' strand at the CDE’s Research and Innovation in Distance Education and eLearning conference, held at Senate House London on 1 November 2013. Conducted by Ormond Simpson (HE consultant, Visiting CDE Fellow). Audio of the session and more details can be found at www.cde.london.ac.uk.

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Page 1: RIDE2013 presentation: A puzzled look at MOOCs

A puzzled person looks at MOOCSOrmond Simpson

Visiting Fellow, Centre for Distance Education University of London

Previously Visiting Professor, Open Polytechnic of New ZealandPreviously Senior Lecturer in Institutional Research, Open

University

1

RIDE 2013

Page 2: RIDE2013 presentation: A puzzled look at MOOCs

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‘E-learning’ ?- a ‘category error’?

Gilbert Ryle 1900-76

Page 3: RIDE2013 presentation: A puzzled look at MOOCs

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‘E-learning’ ?or

‘E-teaching’ ?

Page 4: RIDE2013 presentation: A puzzled look at MOOCs

4

“No teacher can ever be

certain that their

teaching will cause a

learner to learn”

- Ramsden (2003)Professor Paul

Ramsden

Page 5: RIDE2013 presentation: A puzzled look at MOOCs

OU % graduation rates by year of entry

1971 -1981

1997 on

0

10

20

30

40

50

6053

22

5

Beginning of introduction of e-teaching

Page 6: RIDE2013 presentation: A puzzled look at MOOCs

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Household internet access (ONS)

Page 7: RIDE2013 presentation: A puzzled look at MOOCs

7

Completion rates for modules and MOOCS

Average first year full-time undergraduate completion rate

Average OU module completion rate(new students)

Average MOOC completion rate

85%

55%

6 - 9%

Page 8: RIDE2013 presentation: A puzzled look at MOOCs

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Importance of learning motivation

“The best predictor of student retention is

motivation.

“…Most students drop out because of

reduced motivation”

(Anderson, San Diego, 2003)

Professor Edward Anderson

1942-2005

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How will MOOCS be paid for?

• Governments – why would they?

• Grants from other bodies – pump-priming?

• • Industry / commerce – for training?

• Institutional own funding?

Page 11: RIDE2013 presentation: A puzzled look at MOOCs

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Institutions own funding

• ‘loss leaders’ to encourage recruitment?

• ‘Tasters’ for intending students to inform their course choice?

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From student fees

Page 14: RIDE2013 presentation: A puzzled look at MOOCs

Funding MOOCS

£ Fund student support

14

Increases student

retention

Students willing to pay

more

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Cost benefits of retention

If F = students fee per year, S = institutional expenditure per student, V = total institutional overhead then if the number of students in year 1 is N1 and in year 2 is N2

Income Year 1 = N1F – (N1S + V) Income Year 2 = N2F – (N2S + V)

Reduction in income due to student dropout between years

= N1F – (N1S + V) – [N2F – (N2S + V)] = (N1 – N2)(F – S)

Then if there is a retention activity costing £P per student it will cost N1P. If that increases retention by n students so that N2 becomes N1 + n then the reduction in income is now:

[N1 – (N2 + n)](F - S)

So the reduction is itself reduced making a saving of

(N1 – N2)(F – S) – {[N1 – (N2 + n)](F - S)} = n(F – S)

For the retention activity to be self-supporting n(F – S) > N1P

Or np > 100P/(F – S) where np is the per cent increase in retention

For example P = £10 F = £2500, S = £1000 then np > 100x10/(2500-1000) = 0.67%

So if a retention activity costing £10 per student produces an increase in retention of more than 0.67% it will be self-supporting

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For a MOOC to make a profit it needs to ensure that:

1.25np > P or np > 0.8P

where P is the cost of a retention activity that increases retention by np % points

Thus for example if the institution expends £10 on an individual student it needs to get an increase in retention of 8% to break even.