ride2013 presentation: is distance learning failing its students?

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Student Motivation and Retention Ormond Simpson Adapted from ‘Student retention in distance education - are we failing our students?’ – tbp Open Learning November 2013 RIDE 2013

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Presentation from 'Enhancing the student experience' workshop 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.

TRANSCRIPT

Page 1: RIDE2013 presentation: Is distance learning failing its students?

Student Motivation and RetentionOrmond Simpson

Adapted from ‘Student retention in distance education - are we failing our students?’ – tbp Open Learning November

2013

RIDE 2013

Page 2: RIDE2013 presentation: Is distance learning failing its students?

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82

39

61.5

15.722

5.3 2.5 0.5

146

0102030405060708090

100

Conventional institutions

Distance institutions

Conventional and distance graduation rates compared

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3The ‘Distance Education Deficit’

The ‘DED’

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Probability of suffering depression, unemployment and (women) partner violence, according to educational

experience (Bynner, 2002)

Probability of:

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What happens to students who dropout? - effects of dropout on full-time students in the UK

dropouts

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Effects of dropout on distance institutions

Students drop out of their first module

Students do not re-enrol

Institution loses re-enrolment

fees

Institution loses income – is unable to

invest in better

student support

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Professor Michael Moore

Moore’s‘Theory of

Transactional Distance’

The isolation of distance students (from other students, their tutors

and the institution) is a principal factor in

dropping out.

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Proactive Contact

“Student self-referral does not work as a mode of promoting persistence. ‘“Students who need services the most refer themselves the least. “ Effective retention services take the initiative in outreach and timely interventions with those students” 7

Professor Edward Anderson

1942-2005

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Importance of learning motivation

“The best predictor of student retention is motivation. Retention services need to clarify and build on motivation and address motivation-reducing issues.

“Most students dropout because of reduced motivation”

(Anderson, San Diego, 2003)

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‘E-learning’ ?- a ‘category error’?

Gilbert Ryle 1900-76

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‘E-learning’ ?or

‘E-teaching’ ?

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“No e-teacher can ever be

certain that their teaching

will cause a learner

to e-learn”

- Ramsden (2003 -

paraphrased)

Professor Paul

Ramsden

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Teaching

‘[Teaching] that does not consider motivation... may result in little improvement’

Gibbs and Morgan BJET, (1982 - paraphrased)

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“The important thing is not so much that every child should be taught, as that every child should be given the wish to learn.”

- Lubbock (1834-1913)

Do we spend too much time on teaching

and not enough on motivating students to learn?

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Student support needs to be…?

ProactiveMotivational

Individual and Interactive

‘Proactive Motivational Support’

(‘Appreciative Advising’ or ‘Strengths Approach’)

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Carole Dweck – ‘Self Theories’

Martin Seligman – ‘Positive Psychology’

- and others

Learning motivation theories 2

John Keller – ARCS Theory

John Hattie – ‘Self–Reporting’

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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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Funding learner support

£ Fund motivational student support

Increases student

retention

Generates increased

student fee income from

re-enrolments

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Institutional attitudes

“The biggest barrier to increasing retention - is the institution itself”

- Johnston (Napier University 2002)

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Barriers to increasing retention

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Attitudes to student retention 1

The ‘Darwinistas’Students drop out because they're not

intelligent enough, unmotivated or lazy.

“We’re here to weed out the unfit”

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Attitudes to student retention 2

The FatalistasStudents dropout for reasons beyond our

control

“Students are doomed to pass or fail and there’s not much we can do about it”

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Attitudes to student retention 3

The ‘Retentioneer’Students most often dropout because

of lack of proactive support.

“We should help students be as successful as they can be”

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‘Educational Passchendaelism’?

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'Supporting Students for Success in Online

and Distance Education' (2013) - now out with

Routledge

http://tinyurl.com/supporting-students

www.ormondsimpson.com