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Enhancing the First Year Student Enhancing the First Year Student

Enhancing the First Year Student - PowerPoint Presentation

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Enhancing the First Year Student - PPT Presentation

Experience at MMU Clearing a path amp interpreting digital footprints Professor Mark Stubbs Head of Learning amp Research Technologies http twittercomthestubbs httpslidesharenetmarkstubbs ID: 623016

student amp satisfaction curriculum amp student curriculum satisfaction 000 2010 learning resource experience success entry understanding work 2011 sharealike

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Slide1

Enhancing the First Year Student Experience at MMU: Clearing a path & interpreting digital footprints

Professor Mark StubbsHead of Learning & Research Technologieshttp://twitter.com/thestubbshttp://slideshare.net/markstubbs

Nottingham | Jun 2014

#EFYE2014Slide2

Context | An interesting place to work!Large, popular, multi-campus university36,000+ students | 1,000+ courses | consolidating from 7 sites

Pursuing an ambitious transformation initiativeNew Buildings, New Curriculum, New Admin Processes & Systems, New Learning & Mobile Tech, New Quality Processes…

80

%+

of 8,125 11/12 UG

intake

young from state schools /

collegesSlide3

Context | Strategic improvement imperative

Student RetentionSuccess & Satisfaction

Student Intake

(Aspirations, Attitude

& Abilities)

Learning, Teaching, Assessment

& Personal Development

Processes, Facilities

& Resources

Reputation

Marketing &

Recruitment

Processes

All Year Numbers

Resource allocation

League table

rankings

A

A

Recruit to target

B

B

Improve satisfaction, retention & success

C

C

Inform decision-makers

2010 NSS Where to intervene?Slide4

CSI | Student ExperienceCareful diagnosis of (diverse) learning experiencesRecurrent messages

NSS analysis: course organisation determines Q22Mobile surveys: deadlines, timetables… (m-admin)Focus groups: consistent, easy to find infoGreat (and not-so great) expectations“engaging, well-organised courses”“inspirational tutors who know me”

‘Hygiene factors’

Stimulating pedagogiesSlide5

CSI | Student Retention & SuccessReflect on…

+ Assumptions+ InterventionsExamine data…+ Focus Groups+ Surveys

+ Journey journals+ Observations+ National dataReview literature…

+ Multi-dimensional+ Belonging

+ Habitus+ Polishing+ …

B

Improve satisfaction, retention & success

Literature

Journeys

Wed 9, N31

Assumptions

1

st

years have requisite motivation, academic ability, adaptive capacity and resilience

to

a) Sort

/

£

/

/

/

/

so they can focus

b) Adapt

study methods to new academic

requirementsc) Perform to required standardd) Establish supportive social / working relationships

Interventions

R&A / pre-entry, personalised info, early formative feedbackSlide6

Coordinating our response

B

Improve satisfaction, retention & success

Great

Online Experience

(Seamless, personalised)

Great

Learning Spaces

Great

Teaching

Simplify

Unwieldy

Curriculum

EQAL

£350MSlide7

A coordinated strike for step-change improvementEQAL

New Curriculum

designing new units, …

New Admin Systems & Processes

personal timetabling, …

New Virtual Learning Environment

Moodle &

myMMU

web/mobile,

Talis

Aspire…

New QA & QE Processes

facilitating curriculum transformation

In the current climate

Diminishing unit of resource

Everything depends on everything else

We are large and risk averse

but

but

but

but

but

Programme Board chaired by DVC Student ExperienceSlide8

MISSION:

2010 Q1

:

Plan Programme & Projects

2010 Q2: Approve UG curriculum rules

2010 Q3: Develop smart curriculum capture forms

2010 Q4: Enter 800+ new L3 + L4 module

2011 Q1: Approve new modules

2011 Q2: Set up SRS, TT & VLE

2011 Q3

: L4 curriculum & systems go live

2011 Q4: Enter new L5 modules…

2012 Q3: L5 goes live

2013 Q3

:

Entire new UG curriculum liveSlide9

Smart forms

868

L3+L4

modules

Minimise

‘big ask’

Jul 2010Slide10

Feb 2011

Core+ VLE blueprint

timetable

d

eadlines, marks

enrolments

m

resource lists

past exams,

digitizations

s

so

linksSlide11

More familiarSlide12

12

Wrapping the institution around the learner

Student ID

Timetable

This work is licensed under a Attribution-NonCommercial-ShareAlike 2.0 licence

Sync to personal deviceSlide13

Pre-entry access to timetables

Less early access than expectedSlide14

Wrapping the institution around the learner

Student ID (+ Unit code)

Deadlines / extensions /

feedback return dates / provisional marks

Personalised

submission sheet

This work is licensed under a Attribution-NonCommercial-ShareAlike 2.0 licenceSlide15

Wrapping the institution around the learner

Unit code

Resource list

Relevant resource

This work is licensed under a Attribution-NonCommercial-ShareAlike 2.0 licenceSlide16

Wrapping the institution around the learner

Unit code

Past exam papers

Past exam paper

This work is licensed under a Attribution-NonCommercial-ShareAlike 2.0 licence

11,000+ past exams uploadedSlide17

MyMMU

App

m-adminSlide18

Summary | we cleared a path to the information our learners needed…Slide19

Are we in a better place now?

10,000+ students post 40,000+ comments in our biannual student surveys

Submission tracking, Personal timetables, …

Quartile improvements in course org & learning resources in 2012 NSS

EQAL wins inaugural Guardian Student Experience Award!

30,000 regular users, 52m+ hits on Moodle, 26,000+ App registrations!Slide20

… we can now begin to interpret some digital footprintsSlide21

Using the data

Refining understanding of a problem spaceSlide22

Understanding student satisfaction

Refining understanding of student satisfaction

Student demographicsEntry profilesInternal survey responses

Join on student ID

Random Forests analysis

Satisfaction predictors

Confidence

↘ Organisation

→Teaching

Sum entry points &

qual

type

Handle missing values, collapse categories… Slide23

Understanding student success

Refining understanding of student continuation

HESA PILeague Tables

Join on UK PRN

Random Forests Regression Tree

Predictors

YNG NSSEC4-7

Entry Tariff

NSS

Add UKPRN

Handle missing values, collapse categories… Slide24

Conditional Inference Trees

Party LibrarySlide25

LimitationsConfirmation biasMeaningful comparison

Quantitative V QualitativeData qualityCorrelation ≠ causation“Everything that can be counted does not necessarily count; everything that counts cannot necessarily be

counted”Einstein

Reality of our current data warehouse build: careful thought about error handling + painstaking checking of joins!Slide26

Continuous monitoring & improvement

MDL

SRS

TT

Data Warehouse

Analysis Cubes

CMI dashboard for all programme leaders for Sep 2014

CSlide27

Change management lessonsUnderstand important dynamicsBe clear what needs to be doneSet high-level goals

Understand where change is requiredBe bold and plan holisticallyEnsure you’ve got the right team to driveMake ‘big asks’ as small as possibleMake it stick with reinforcing changehttp://tinyurl.com/jiscmmusrc

Curriculum Design

Assessment & Feedback

http://tinyurl.com/jiscmmutraffic

Find out more!