SlideShare a Scribd company logo
1 of 6
Using data to support student retention,
 attainment and progression:
 Informing Institutional Change
 Manchester | Mar 2013


  Professor Mark Stubbs
  Head of Learning & Research Technologies

  m.stubbs@mmu.ac.uk http://twitter.com/thestubbs
  http://slideshare.net/markstubbs

Monday, March 25, 2013                              1
Data-driven improvisational change
 Appreciation of                                    2. Identify                  Student
                               1.Appreciate
                                                  relevant data
 more and less                   the issue                                       demographics
                                                     sources
 successful                                                                      VLE logs
 patterns of VLE                                                                 Exam board
 use                                                                             outcomes

                                       Understanding
                                       impacts of new             3.Summarise
                 6.Analyse &
                                                                    individual
Interpret          visualise           VLE on student             data sources      Categorise
output of                                 success                                   VLE usage
statistical
                                                                                    & count hits
tests
                                                                                    by category


                                5 Prep the          4 Join on
                                 data for           common
      Code missing               analysis          identifiers           Join on
      values, collapse                                                   student ID
      categories…
6.Analyse &
                                                              visualise

Patterns in the data
 Visualising partial effects on successful progression
+ve




        9am-9pm usage            Last VLE access          Tutors’ doc hits
- ve



 http://onlinelibrary.wiley.com/doi/10.1002/sres.2130/abstract
Data driven institutional change (2010)
Careful diagnosis of (diverse) learning experiences
• Recurrent messages
   – NSS analysis: course organisation determines Q22
   – Focus groups: consistent, easy to find info
   – Mobile surveys: deadlines, timetables… (m-admin)
• Great (and not-so great) expectations
   – “engaging, well-organised courses”
   – “tutors who know me”                         If things change
                                    When’s my     can you let me
                       What’s my
                                    work due in ? know…
                       timetable?
MISSION:
Evaluating the impact of change
• Quartile improvements in NSS2012
  – Course organisation, learning resources & Q22 overall
• Personalised online survey on portal homepage
  – Nov 2011: 10,716 left 58,000+ comments
  – Nov 2012: 10,186 left 48,000+ comments
  – All data tagged with module / programme codes
      • Module/Prog. leaders see their anonymised feedback
  – Top 3 predictors of overall satisfaction…
     The course helped me develop the confidence and skills to succeed
     The course is well organised and running smoothly
     Staff on my course are good at explaining things
  – Next …adding engagement & attainment to the analysis

More Related Content

What's hot

Data mining to predict academic performance.
Data mining to predict academic performance. Data mining to predict academic performance.
Data mining to predict academic performance. Ranjith Gowda
 
Evaluation Methodology
Evaluation MethodologyEvaluation Methodology
Evaluation Methodologymathgear
 
Learning-Based Evaluation of Visual Analytic Systems.
Learning-Based Evaluation of Visual Analytic Systems.Learning-Based Evaluation of Visual Analytic Systems.
Learning-Based Evaluation of Visual Analytic Systems.BELIV Workshop
 
Predicting students performance using classification techniques in data mining
Predicting students performance using classification techniques in data miningPredicting students performance using classification techniques in data mining
Predicting students performance using classification techniques in data miningLovely Professional University
 
E assessment authoring
E assessment authoring E assessment authoring
E assessment authoring Nader Jarmooz
 
Predicting instructor performance using data mining techniques in higher educ...
Predicting instructor performance using data mining techniques in higher educ...Predicting instructor performance using data mining techniques in higher educ...
Predicting instructor performance using data mining techniques in higher educ...redpel dot com
 
Resume_Biostatistician
Resume_BiostatisticianResume_Biostatistician
Resume_BiostatisticianYang Lu
 
Application of Higher Education System for Predicting Student Using Data mini...
Application of Higher Education System for Predicting Student Using Data mini...Application of Higher Education System for Predicting Student Using Data mini...
Application of Higher Education System for Predicting Student Using Data mini...AM Publications
 

What's hot (9)

Data mining to predict academic performance.
Data mining to predict academic performance. Data mining to predict academic performance.
Data mining to predict academic performance.
 
Evaluation Methodology
Evaluation MethodologyEvaluation Methodology
Evaluation Methodology
 
FYP ppt
FYP pptFYP ppt
FYP ppt
 
Learning-Based Evaluation of Visual Analytic Systems.
Learning-Based Evaluation of Visual Analytic Systems.Learning-Based Evaluation of Visual Analytic Systems.
Learning-Based Evaluation of Visual Analytic Systems.
 
Predicting students performance using classification techniques in data mining
Predicting students performance using classification techniques in data miningPredicting students performance using classification techniques in data mining
Predicting students performance using classification techniques in data mining
 
E assessment authoring
E assessment authoring E assessment authoring
E assessment authoring
 
Predicting instructor performance using data mining techniques in higher educ...
Predicting instructor performance using data mining techniques in higher educ...Predicting instructor performance using data mining techniques in higher educ...
Predicting instructor performance using data mining techniques in higher educ...
 
Resume_Biostatistician
Resume_BiostatisticianResume_Biostatistician
Resume_Biostatistician
 
Application of Higher Education System for Predicting Student Using Data mini...
Application of Higher Education System for Predicting Student Using Data mini...Application of Higher Education System for Predicting Student Using Data mini...
Application of Higher Education System for Predicting Student Using Data mini...
 

Viewers also liked

LRT Talks 20140327 JISC RSC HECon14
LRT Talks 20140327 JISC RSC HECon14LRT Talks 20140327 JISC RSC HECon14
LRT Talks 20140327 JISC RSC HECon14Mark Stubbs
 
LRT Talks 20130725 Services Away Day
LRT Talks 20130725 Services Away DayLRT Talks 20130725 Services Away Day
LRT Talks 20130725 Services Away DayMark Stubbs
 
Sådan kommer du i gang med skyen (pdf)
Sådan kommer du i gang med skyen (pdf)Sådan kommer du i gang med skyen (pdf)
Sådan kommer du i gang med skyen (pdf)Kim Jensen
 
Unified communication by siemens dk
Unified communication by siemens dkUnified communication by siemens dk
Unified communication by siemens dkKim Jensen
 
Security Survey 2013 UK
Security Survey 2013 UKSecurity Survey 2013 UK
Security Survey 2013 UKKim Jensen
 
Moja Pasja - Jan Tenderenda
Moja Pasja - Jan TenderendaMoja Pasja - Jan Tenderenda
Moja Pasja - Jan Tenderendaporanny24
 
LRT Talks 20161012 Jisc Student Experience Experts Group
LRT Talks 20161012 Jisc Student Experience Experts GroupLRT Talks 20161012 Jisc Student Experience Experts Group
LRT Talks 20161012 Jisc Student Experience Experts GroupMark Stubbs
 
LRT Talks 201611209 GCU Learning and Teaching Celebration
LRT Talks 201611209 GCU Learning and Teaching CelebrationLRT Talks 201611209 GCU Learning and Teaching Celebration
LRT Talks 201611209 GCU Learning and Teaching CelebrationMark Stubbs
 

Viewers also liked (10)

LRT Talks 20140327 JISC RSC HECon14
LRT Talks 20140327 JISC RSC HECon14LRT Talks 20140327 JISC RSC HECon14
LRT Talks 20140327 JISC RSC HECon14
 
LRT Talks 20130725 Services Away Day
LRT Talks 20130725 Services Away DayLRT Talks 20130725 Services Away Day
LRT Talks 20130725 Services Away Day
 
Sådan kommer du i gang med skyen (pdf)
Sådan kommer du i gang med skyen (pdf)Sådan kommer du i gang med skyen (pdf)
Sådan kommer du i gang med skyen (pdf)
 
Unified communication by siemens dk
Unified communication by siemens dkUnified communication by siemens dk
Unified communication by siemens dk
 
Thomas Kinkade
Thomas KinkadeThomas Kinkade
Thomas Kinkade
 
Cms solution 08072010
Cms solution 08072010Cms solution 08072010
Cms solution 08072010
 
Security Survey 2013 UK
Security Survey 2013 UKSecurity Survey 2013 UK
Security Survey 2013 UK
 
Moja Pasja - Jan Tenderenda
Moja Pasja - Jan TenderendaMoja Pasja - Jan Tenderenda
Moja Pasja - Jan Tenderenda
 
LRT Talks 20161012 Jisc Student Experience Experts Group
LRT Talks 20161012 Jisc Student Experience Experts GroupLRT Talks 20161012 Jisc Student Experience Experts Group
LRT Talks 20161012 Jisc Student Experience Experts Group
 
LRT Talks 201611209 GCU Learning and Teaching Celebration
LRT Talks 201611209 GCU Learning and Teaching CelebrationLRT Talks 201611209 GCU Learning and Teaching Celebration
LRT Talks 201611209 GCU Learning and Teaching Celebration
 

Similar to LRT Talks 2013-03-27 HEA Social Mobility

LRT Talks 2013-03-12 CETIS
LRT Talks 2013-03-12 CETISLRT Talks 2013-03-12 CETIS
LRT Talks 2013-03-12 CETISMark Stubbs
 
Desire2Learn Analytics Oklahoma RUF
Desire2Learn Analytics Oklahoma RUFDesire2Learn Analytics Oklahoma RUF
Desire2Learn Analytics Oklahoma RUFBarry Dahl
 
CAA 2012 Closing Address
CAA 2012 Closing Address CAA 2012 Closing Address
CAA 2012 Closing Address jisc-elearning
 
Ieeeecl to engage non stem undergraduates.nextgen2
Ieeeecl to engage non stem undergraduates.nextgen2Ieeeecl to engage non stem undergraduates.nextgen2
Ieeeecl to engage non stem undergraduates.nextgen2Chatterjee Msu
 
Building Analytics Capability @open.edu
Building Analytics Capability @open.eduBuilding Analytics Capability @open.edu
Building Analytics Capability @open.eduSimon Buckingham Shum
 
Assessment for LI sessions
Assessment for LI sessionsAssessment for LI sessions
Assessment for LI sessionsDiana Hyatt
 
Data analysis – using computers
Data analysis – using computersData analysis – using computers
Data analysis – using computersNoonapau
 
Learner Analytics: from Buzz to Strategic Role Academic Technologists
Learner Analytics:  from Buzz to Strategic Role Academic TechnologistsLearner Analytics:  from Buzz to Strategic Role Academic Technologists
Learner Analytics: from Buzz to Strategic Role Academic TechnologistsJohn Whitmer, Ed.D.
 
Data analysis – using computers for presentation
Data analysis – using computers for presentationData analysis – using computers for presentation
Data analysis – using computers for presentationNoonapau
 
Ejemplo artículonormasapa plantilla
Ejemplo artículonormasapa plantillaEjemplo artículonormasapa plantilla
Ejemplo artículonormasapa plantillaMilcon Montenegro
 
Nj model curriculum
Nj model curriculumNj model curriculum
Nj model curriculumMrSanchez
 
Meta-review of recognition of learning in LMS and MOOCs - Ruth Cobos
Meta-review of recognition of learning in LMS and MOOCs - Ruth CobosMeta-review of recognition of learning in LMS and MOOCs - Ruth Cobos
Meta-review of recognition of learning in LMS and MOOCs - Ruth CoboseMadrid network
 
Asynchronous curriculum creation and id models
Asynchronous curriculum creation and id modelsAsynchronous curriculum creation and id models
Asynchronous curriculum creation and id modelsekramer4
 
2013 03 14 (educon2013) emadrid ucm elearning standards learning analytics
2013 03 14 (educon2013) emadrid ucm elearning standards learning analytics2013 03 14 (educon2013) emadrid ucm elearning standards learning analytics
2013 03 14 (educon2013) emadrid ucm elearning standards learning analyticseMadrid network
 
Data analysis – using computers
Data analysis – using computersData analysis – using computers
Data analysis – using computersNoonapau
 

Similar to LRT Talks 2013-03-27 HEA Social Mobility (20)

LRT Talks 2013-03-12 CETIS
LRT Talks 2013-03-12 CETISLRT Talks 2013-03-12 CETIS
LRT Talks 2013-03-12 CETIS
 
Desire2Learn Analytics Oklahoma RUF
Desire2Learn Analytics Oklahoma RUFDesire2Learn Analytics Oklahoma RUF
Desire2Learn Analytics Oklahoma RUF
 
CAA 2012 Closing Address
CAA 2012 Closing Address CAA 2012 Closing Address
CAA 2012 Closing Address
 
Contribution300 a
Contribution300 aContribution300 a
Contribution300 a
 
Ieeeecl to engage non stem undergraduates.nextgen2
Ieeeecl to engage non stem undergraduates.nextgen2Ieeeecl to engage non stem undergraduates.nextgen2
Ieeeecl to engage non stem undergraduates.nextgen2
 
Learning Analytics BETT2013
Learning Analytics BETT2013Learning Analytics BETT2013
Learning Analytics BETT2013
 
Social Learning Analytics
Social Learning AnalyticsSocial Learning Analytics
Social Learning Analytics
 
Building Analytics Capability @open.edu
Building Analytics Capability @open.eduBuilding Analytics Capability @open.edu
Building Analytics Capability @open.edu
 
Assessment for LI sessions
Assessment for LI sessionsAssessment for LI sessions
Assessment for LI sessions
 
Data analysis – using computers
Data analysis – using computersData analysis – using computers
Data analysis – using computers
 
Learner Analytics: from Buzz to Strategic Role Academic Technologists
Learner Analytics:  from Buzz to Strategic Role Academic TechnologistsLearner Analytics:  from Buzz to Strategic Role Academic Technologists
Learner Analytics: from Buzz to Strategic Role Academic Technologists
 
Whitmer, Fernandes, Kodai CSU Chico Learner Analytics
Whitmer, Fernandes, Kodai CSU Chico Learner AnalyticsWhitmer, Fernandes, Kodai CSU Chico Learner Analytics
Whitmer, Fernandes, Kodai CSU Chico Learner Analytics
 
Data analysis – using computers for presentation
Data analysis – using computers for presentationData analysis – using computers for presentation
Data analysis – using computers for presentation
 
Ejemplo artículonormasapa plantilla
Ejemplo artículonormasapa plantillaEjemplo artículonormasapa plantilla
Ejemplo artículonormasapa plantilla
 
Nj model curriculum
Nj model curriculumNj model curriculum
Nj model curriculum
 
Meta-review of recognition of learning in LMS and MOOCs - Ruth Cobos
Meta-review of recognition of learning in LMS and MOOCs - Ruth CobosMeta-review of recognition of learning in LMS and MOOCs - Ruth Cobos
Meta-review of recognition of learning in LMS and MOOCs - Ruth Cobos
 
Asynchronous curriculum creation and id models
Asynchronous curriculum creation and id modelsAsynchronous curriculum creation and id models
Asynchronous curriculum creation and id models
 
2013 03 14 (educon2013) emadrid ucm elearning standards learning analytics
2013 03 14 (educon2013) emadrid ucm elearning standards learning analytics2013 03 14 (educon2013) emadrid ucm elearning standards learning analytics
2013 03 14 (educon2013) emadrid ucm elearning standards learning analytics
 
Learning Analytics for MOOCs: EMMA case
Learning Analytics for MOOCs: EMMA caseLearning Analytics for MOOCs: EMMA case
Learning Analytics for MOOCs: EMMA case
 
Data analysis – using computers
Data analysis – using computersData analysis – using computers
Data analysis – using computers
 

More from Mark Stubbs

PFHEA Presentation - Mark Stubbs
PFHEA Presentation - Mark StubbsPFHEA Presentation - Mark Stubbs
PFHEA Presentation - Mark StubbsMark Stubbs
 
EMA improvements
EMA improvementsEMA improvements
EMA improvementsMark Stubbs
 
Edtech Visualisations
Edtech VisualisationsEdtech Visualisations
Edtech VisualisationsMark Stubbs
 
LRT Assessment 20210922_v2
LRT Assessment 20210922_v2LRT Assessment 20210922_v2
LRT Assessment 20210922_v2Mark Stubbs
 
JISC Digital Experience Insights Presentation 20210519
JISC Digital Experience Insights Presentation 20210519JISC Digital Experience Insights Presentation 20210519
JISC Digital Experience Insights Presentation 20210519Mark Stubbs
 
LRT Talks 20150415 Talis Insight Birmingham
LRT Talks 20150415 Talis Insight BirminghamLRT Talks 20150415 Talis Insight Birmingham
LRT Talks 20150415 Talis Insight BirminghamMark Stubbs
 
Data Warehouse Tube Map Update
Data Warehouse Tube Map UpdateData Warehouse Tube Map Update
Data Warehouse Tube Map UpdateMark Stubbs
 
Data Warehouse Map for MMU's Continuous Monitoring & Improvement Project Board
Data Warehouse Map for MMU's Continuous Monitoring & Improvement Project BoardData Warehouse Map for MMU's Continuous Monitoring & Improvement Project Board
Data Warehouse Map for MMU's Continuous Monitoring & Improvement Project BoardMark Stubbs
 
LRT Talks 20140611 EUNIS Umea
LRT Talks 20140611 EUNIS UmeaLRT Talks 20140611 EUNIS Umea
LRT Talks 20140611 EUNIS UmeaMark Stubbs
 
LRT Talks 20140610 EFYE2014 Nottingham
LRT Talks 20140610 EFYE2014 NottinghamLRT Talks 20140610 EFYE2014 Nottingham
LRT Talks 20140610 EFYE2014 NottinghamMark Stubbs
 
LRT Talks 20130703 ULCC Moodle HE User Group: our Upgrade to Moodle2.4
LRT Talks 20130703 ULCC Moodle HE User Group: our Upgrade to Moodle2.4LRT Talks 20130703 ULCC Moodle HE User Group: our Upgrade to Moodle2.4
LRT Talks 20130703 ULCC Moodle HE User Group: our Upgrade to Moodle2.4Mark Stubbs
 
LRT Talks 2013-05-08 TRAFFIC
LRT Talks 2013-05-08 TRAFFIC LRT Talks 2013-05-08 TRAFFIC
LRT Talks 2013-05-08 TRAFFIC Mark Stubbs
 
LRT Talks 20130319 Kaltura User Group
LRT Talks 20130319 Kaltura User GroupLRT Talks 20130319 Kaltura User Group
LRT Talks 20130319 Kaltura User GroupMark Stubbs
 
LRT talks 20130129 XCRI Aston
LRT talks 20130129 XCRI AstonLRT talks 20130129 XCRI Aston
LRT talks 20130129 XCRI AstonMark Stubbs
 
LRT Talks 20130108 Strategic Change Programme Sheffield
LRT Talks 20130108 Strategic Change Programme SheffieldLRT Talks 20130108 Strategic Change Programme Sheffield
LRT Talks 20130108 Strategic Change Programme SheffieldMark Stubbs
 
LRT Away Day 20121130
LRT Away Day 20121130LRT Away Day 20121130
LRT Away Day 20121130Mark Stubbs
 
LRT Talks 20121122 Talis Aspire Leeds
LRT Talks 20121122 Talis Aspire LeedsLRT Talks 20121122 Talis Aspire Leeds
LRT Talks 20121122 Talis Aspire LeedsMark Stubbs
 
LRT talks 20121120 JISC E-Learning Conference 2012
LRT talks 20121120 JISC E-Learning Conference 2012LRT talks 20121120 JISC E-Learning Conference 2012
LRT talks 20121120 JISC E-Learning Conference 2012Mark Stubbs
 
LRT Talks 20120907 MMU Business + Law L+T day
LRT Talks 20120907 MMU Business + Law L+T dayLRT Talks 20120907 MMU Business + Law L+T day
LRT Talks 20120907 MMU Business + Law L+T dayMark Stubbs
 
LRT Talks 20120522 JISC CDD
LRT Talks 20120522 JISC CDDLRT Talks 20120522 JISC CDD
LRT Talks 20120522 JISC CDDMark Stubbs
 

More from Mark Stubbs (20)

PFHEA Presentation - Mark Stubbs
PFHEA Presentation - Mark StubbsPFHEA Presentation - Mark Stubbs
PFHEA Presentation - Mark Stubbs
 
EMA improvements
EMA improvementsEMA improvements
EMA improvements
 
Edtech Visualisations
Edtech VisualisationsEdtech Visualisations
Edtech Visualisations
 
LRT Assessment 20210922_v2
LRT Assessment 20210922_v2LRT Assessment 20210922_v2
LRT Assessment 20210922_v2
 
JISC Digital Experience Insights Presentation 20210519
JISC Digital Experience Insights Presentation 20210519JISC Digital Experience Insights Presentation 20210519
JISC Digital Experience Insights Presentation 20210519
 
LRT Talks 20150415 Talis Insight Birmingham
LRT Talks 20150415 Talis Insight BirminghamLRT Talks 20150415 Talis Insight Birmingham
LRT Talks 20150415 Talis Insight Birmingham
 
Data Warehouse Tube Map Update
Data Warehouse Tube Map UpdateData Warehouse Tube Map Update
Data Warehouse Tube Map Update
 
Data Warehouse Map for MMU's Continuous Monitoring & Improvement Project Board
Data Warehouse Map for MMU's Continuous Monitoring & Improvement Project BoardData Warehouse Map for MMU's Continuous Monitoring & Improvement Project Board
Data Warehouse Map for MMU's Continuous Monitoring & Improvement Project Board
 
LRT Talks 20140611 EUNIS Umea
LRT Talks 20140611 EUNIS UmeaLRT Talks 20140611 EUNIS Umea
LRT Talks 20140611 EUNIS Umea
 
LRT Talks 20140610 EFYE2014 Nottingham
LRT Talks 20140610 EFYE2014 NottinghamLRT Talks 20140610 EFYE2014 Nottingham
LRT Talks 20140610 EFYE2014 Nottingham
 
LRT Talks 20130703 ULCC Moodle HE User Group: our Upgrade to Moodle2.4
LRT Talks 20130703 ULCC Moodle HE User Group: our Upgrade to Moodle2.4LRT Talks 20130703 ULCC Moodle HE User Group: our Upgrade to Moodle2.4
LRT Talks 20130703 ULCC Moodle HE User Group: our Upgrade to Moodle2.4
 
LRT Talks 2013-05-08 TRAFFIC
LRT Talks 2013-05-08 TRAFFIC LRT Talks 2013-05-08 TRAFFIC
LRT Talks 2013-05-08 TRAFFIC
 
LRT Talks 20130319 Kaltura User Group
LRT Talks 20130319 Kaltura User GroupLRT Talks 20130319 Kaltura User Group
LRT Talks 20130319 Kaltura User Group
 
LRT talks 20130129 XCRI Aston
LRT talks 20130129 XCRI AstonLRT talks 20130129 XCRI Aston
LRT talks 20130129 XCRI Aston
 
LRT Talks 20130108 Strategic Change Programme Sheffield
LRT Talks 20130108 Strategic Change Programme SheffieldLRT Talks 20130108 Strategic Change Programme Sheffield
LRT Talks 20130108 Strategic Change Programme Sheffield
 
LRT Away Day 20121130
LRT Away Day 20121130LRT Away Day 20121130
LRT Away Day 20121130
 
LRT Talks 20121122 Talis Aspire Leeds
LRT Talks 20121122 Talis Aspire LeedsLRT Talks 20121122 Talis Aspire Leeds
LRT Talks 20121122 Talis Aspire Leeds
 
LRT talks 20121120 JISC E-Learning Conference 2012
LRT talks 20121120 JISC E-Learning Conference 2012LRT talks 20121120 JISC E-Learning Conference 2012
LRT talks 20121120 JISC E-Learning Conference 2012
 
LRT Talks 20120907 MMU Business + Law L+T day
LRT Talks 20120907 MMU Business + Law L+T dayLRT Talks 20120907 MMU Business + Law L+T day
LRT Talks 20120907 MMU Business + Law L+T day
 
LRT Talks 20120522 JISC CDD
LRT Talks 20120522 JISC CDDLRT Talks 20120522 JISC CDD
LRT Talks 20120522 JISC CDD
 

Recently uploaded

Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...PsychoTech Services
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Disha Kariya
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingTeacherCyreneCayanan
 

Recently uploaded (20)

Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
 

LRT Talks 2013-03-27 HEA Social Mobility

  • 1. Using data to support student retention, attainment and progression: Informing Institutional Change Manchester | Mar 2013 Professor Mark Stubbs Head of Learning & Research Technologies m.stubbs@mmu.ac.uk http://twitter.com/thestubbs http://slideshare.net/markstubbs Monday, March 25, 2013 1
  • 2. Data-driven improvisational change Appreciation of 2. Identify Student 1.Appreciate relevant data more and less the issue demographics sources successful VLE logs patterns of VLE Exam board use outcomes Understanding impacts of new 3.Summarise 6.Analyse & individual Interpret visualise VLE on student data sources Categorise output of success VLE usage statistical & count hits tests by category 5 Prep the 4 Join on data for common Code missing analysis identifiers Join on values, collapse student ID categories…
  • 3. 6.Analyse & visualise Patterns in the data Visualising partial effects on successful progression +ve 9am-9pm usage Last VLE access Tutors’ doc hits - ve http://onlinelibrary.wiley.com/doi/10.1002/sres.2130/abstract
  • 4. Data driven institutional change (2010) Careful diagnosis of (diverse) learning experiences • Recurrent messages – NSS analysis: course organisation determines Q22 – Focus groups: consistent, easy to find info – Mobile surveys: deadlines, timetables… (m-admin) • Great (and not-so great) expectations – “engaging, well-organised courses” – “tutors who know me” If things change When’s my can you let me What’s my work due in ? know… timetable?
  • 6. Evaluating the impact of change • Quartile improvements in NSS2012 – Course organisation, learning resources & Q22 overall • Personalised online survey on portal homepage – Nov 2011: 10,716 left 58,000+ comments – Nov 2012: 10,186 left 48,000+ comments – All data tagged with module / programme codes • Module/Prog. leaders see their anonymised feedback – Top 3 predictors of overall satisfaction… The course helped me develop the confidence and skills to succeed The course is well organised and running smoothly Staff on my course are good at explaining things – Next …adding engagement & attainment to the analysis