SlideShare ist ein Scribd-Unternehmen logo
1 von 19
Downloaden Sie, um offline zu lesen
Finding
   Finding the Vicars
       Daughter

The
Vicars Daughter
Overview
•   Educational Disadvantage
•   Contextual Data and Applications
•   Current Research Findings
•   Challenges
•   Conclusion
Educational Disadvantage
• Social class remains the strongest predictor of educational
  achievement in the UK
• Children from low SES slower at acquiring language , less
  proficient at mathematical tasks and gain significantly poorer
  paper qualifications (Aikens & Barbarin, 2008, Coley, 2002;
  Chowdry et al., 2009)
   – PISA (2009) gap between the mean scores of UK students in the 90th
     and 10th percentiles was 246 points – the equivalent of six years of
     schooling on the average
Impact of Educational Disadvantage
• Hoar & Johnston (2008) school grades do not
  represent true ability

• In England students from the highest social class
  groups are three times as likely to enter
  university than those from the lowest social class
  groups.
• “ Graduates on average have better employment
  prospects and can expect to earn at least
  £100,000 (160,000 gross) net of tax, more than
  non-graduates across their working lives.”
Tammy thiele  june 2012
Targeting “Disadvantage”
                                                     NS SEC 4 to 7
                                                                                           Data routinely collected
Schools/ Colleges                                Low Participation
                                                  neighbourhood                            Not routinely collected
DfE/Data Service
  Free School Meals
   (Pupil Premium)
                                            Indices of Multiple Deprivation /         Gathered by (or can be
   16 – 19 Bursary                                       IDACI                        derived from)
  SEN or AP+ or AP?                                                                   UCAS…good for
                                                                                      baselines, target setting,
       In care
                                                        No parental HE                tracking and evaluation
                          Geodemographics

                                                   Disabled     In care

                 State school / college
                                                                          Low income backgrounds
                                          Information for
                                      Targeting & Contextual Data
                                                                                 Ethnicity

                                                                     Gender

                                                                       HEIs own criteria
Practical Usage of Contextual Data
•   University of Bristol
           •   Priority is given to students in the following categories:
Local students (resident in BA or BS
               postcodes)
           •   Those who are part of the first generation in their family to go to university;
           •   Those living in a Low Participation Area (LPN).”
           •   Research Cluster (Hoare, 2009), justify admitting students with between one to two grades lower (for
               typical AAA offers) and three grades lower (for ABB offers).
•   University of Birmingham
           •   Basket of measures- Family Education (little or no experience of HE) (1), Parental Occupation- based
               on household income (£42,600 or less) (2), Post code data, school/college/area rates of progression to
               HE (3), teacher recommendation of application (4), non- selective state school or college (5)If at
               selective state school the school where you did your GCSE’s must have achieved less than 49% A*-C
               grades at GCSE
•   University of Manchester
           •   Flagged based on following criteria: Performance of school at level 1 ( GCSE or Equivalent) or Level 3 (
               A level or equivalent) – flagged if school performs below national average, post code data ( use ACORN
               and LPN) , care or disabled.
           •   Overall contextual flag is produced if you meet at least one of the social/educational indicators plus
               the postcode indicator. You will also receive an overall flag if you have been in care for more than
               three months.

     –   Geo-demographic indicator – An online postcode look-up facility
     –   Educational Indicators (PDF document, 2 MB) – a list of schools and contextual flags
Identification of SES
Social – Geo-demographic indicators of disadvantage and low
progression to HE USED by most Universities
• CACI ACORN provides the smallest granulation of analysis, on the
   full postcode with detailed descriptors for each type
• ACORN data consists of 5 categories, 17 groups and 56 types.
• HEFCE POLAR2 data assigns all electoral wards into quintiles based
   on progression to HE. Those wards in the lowest quintile according
   to HE progression are classified as Low Participation
   Neighbourhoods.
• NS-SEC :
    –   Information obtained directly from UCAS application form
    –   Unknown data ~ 25%
    –   NS-SEC 8 not included
    –   Who categorises the labels?
University of Liverpool (2010-2011):
         Proportion of students and their degree
            classification in relation to NS-SEC
    60




    50




    40




                                                   NS-SEC 1-3
    30
%                                                  NS-SEC 4-7
                                                   Unknown

    20




    10




     0
            I      II-1    II-2    III    PASS
“Analysis based on NS SEC 4-
7 excluded students from
benefit-dependent
families, and Aimhigher was
targeting those families,“

“Participation rates from
students receiving free school
meals rose from 13 per cent in
2005 to 17 per cent in 2008.”

"Aimhigher was busy
increasing applications, but a
lot were not able to get
university places… there was a
big excess of demand over
supply”

Aimhigher targeted children as
young as 13, so many of these
pupils have not even applied to
university yet.“
Current Research
– PILOT PHASE
– Stage 1 Analysis INCLUDES ALL degree
  programmes between 2004/5 and 2009/10 at UoL
– ISSUES-Old Faculties (How can we map on to new
  faculties?), data difficult to obtain, limited to
  those that completed degree programmes
– However, findings from stage 1 highlight
  meaningful predictors and differences between
  faculties
Flexible and cost-
                                                     effective approaches:
                                                     •Use baskets of
    • Eligible for FSM OR
    • Receipt of 16-19 Bursary OR                    measures for macro-
A   • School Performance                             targeting to avoid
                                                     vicar’s daughter and
    • No Parental HE or
                                                     overcome limitations of
    • Parents in manual / semi skilled occupations   singular measures and
      or unemployed (NS-SEC 4-8)
B   • Deprived Postcode (IMD, LPN, ACORN) OR         statistics
                        OR
    • Disabled OR
    • In care
C
UoL - Percentage of Students in Each of the Faculties and for
Combination of ALL undergraduate 3yr programmes 2004/5-2009/10



                          E      A       V        S     S&E       M     3yrs
 Male                    84.5   42.3    23.2    38.9     44.6    23.4   41.4
 Ethnic Minorities       18.3    6       8.7    10.3     8.2      8.2   8.5

 26+                     7.7    3.5       0      2.3     2.5     11.2   3.6
  Disability             2.8    6.6      8.7     6.1     6.4      8.2   6.5



E- Engineering            S- Science
A- Arts                   S& E- Social and Environmental Sciences
V- Veterinary Sciences    M- Medical Sciences
                          3yrs- All 3 year degree programmes combined
UoL: Percentage of Students in Lowest and Highest
          Quintiles by IMD 2004/5-2009/10


                    E     A      V       S     S&E      M     3yrs       4yrs

                  35.2   25.1   18.8    28     23.2    20.2    25        27.5
       Quintile
        1& 2
       Quintile   49.4   48.2   62.3   44.9    50.1    48.7   47.5       44.6
        4&5



E- Engineering             S- Science
A- Arts                    S& E- Social and Environmental Sciences
V- Veterinary Sciences     M- Medical Sciences
                           3yrs- All 3 year degree programmes combined
Potential analysis plan
We are interested in what predicts
outcome (final % score or degree
classification)
Variables we are looking to explore;
 UCAS entry score
 IMD (as a proxy for SE status)
 State school performance
 Gender
• How/when are       • How/ when will we
  we going to          assess what difference
  monitor the data     we have made? (5 or
  and related          more years?)
  audit?

• How are we going
  to assess
  progression and
  retention?               • How are we
                             going to ensure
• Stage 2–                   that we take
  Interviews/Focus           into account
  Groups                     Demographic
                             Changes?
Conclusion-The Challenges
What do we need to know:
• To target effectively?
  – What indicators to include?
What data do we need, who holds it, and what
 do we need to collect?
  – SPA suggested Basket of Measures
  How can data be “sourced once and used many
  times”/ what are the resource implications?
  – Collaboration with Universities?
References & Useful Sources
• https://www.zotero.org/tammyt/items/
• http://www.maptube.org/map.aspx?s=DBHFOjWDOMsqg
  ol5yWDAp1wcCnY8CghN
• Association of Geographic Information Laboratories for
  Europe (AGILE) – promoting academic teaching and
  research on GIS at the European level
• Cartography and Geographic Information Society (CaGIS)
• Directions Magazine – All Things Location
• Federal Geographic Data Committee—United States federal
  government standards agency.
• Geographic Information System (GIS) Educational website—
  Educational site with PDF lessons and videos to accompany
  free GIS software.
Tammy thiele  june 2012

Weitere ähnliche Inhalte

Was ist angesagt?

2010 e-stockholm (international compoarisons) - long - rev 1.1
2010 e-stockholm (international compoarisons) - long - rev 1.12010 e-stockholm (international compoarisons) - long - rev 1.1
2010 e-stockholm (international compoarisons) - long - rev 1.1OECD
 
Formal Barriers to Engineering Education
Formal Barriers to Engineering EducationFormal Barriers to Engineering Education
Formal Barriers to Engineering EducationATTRACT Project
 
Pisa 2018 Luxembourg
Pisa 2018 LuxembourgPisa 2018 Luxembourg
Pisa 2018 LuxembourgNewsatdelano1
 
2011 g-ottawa (pisa) - rev 1.1
2011 g-ottawa (pisa) - rev 1.12011 g-ottawa (pisa) - rev 1.1
2011 g-ottawa (pisa) - rev 1.1OECD
 
The science of learning. can it make learning more resilient against the risk...
The science of learning. can it make learning more resilient against the risk...The science of learning. can it make learning more resilient against the risk...
The science of learning. can it make learning more resilient against the risk...dvndamme
 
The state of education one year into the COVID pandemic
The state of education one year into the COVID pandemicThe state of education one year into the COVID pandemic
The state of education one year into the COVID pandemicEduSkills OECD
 
stem-focused-technology-mediated-advising-reform
stem-focused-technology-mediated-advising-reformstem-focused-technology-mediated-advising-reform
stem-focused-technology-mediated-advising-reformMarkeisha Grant
 
Socio Economic Status and Female Enrollment in Engineering and Technology Pro...
Socio Economic Status and Female Enrollment in Engineering and Technology Pro...Socio Economic Status and Female Enrollment in Engineering and Technology Pro...
Socio Economic Status and Female Enrollment in Engineering and Technology Pro...ijtsrd
 

Was ist angesagt? (8)

2010 e-stockholm (international compoarisons) - long - rev 1.1
2010 e-stockholm (international compoarisons) - long - rev 1.12010 e-stockholm (international compoarisons) - long - rev 1.1
2010 e-stockholm (international compoarisons) - long - rev 1.1
 
Formal Barriers to Engineering Education
Formal Barriers to Engineering EducationFormal Barriers to Engineering Education
Formal Barriers to Engineering Education
 
Pisa 2018 Luxembourg
Pisa 2018 LuxembourgPisa 2018 Luxembourg
Pisa 2018 Luxembourg
 
2011 g-ottawa (pisa) - rev 1.1
2011 g-ottawa (pisa) - rev 1.12011 g-ottawa (pisa) - rev 1.1
2011 g-ottawa (pisa) - rev 1.1
 
The science of learning. can it make learning more resilient against the risk...
The science of learning. can it make learning more resilient against the risk...The science of learning. can it make learning more resilient against the risk...
The science of learning. can it make learning more resilient against the risk...
 
The state of education one year into the COVID pandemic
The state of education one year into the COVID pandemicThe state of education one year into the COVID pandemic
The state of education one year into the COVID pandemic
 
stem-focused-technology-mediated-advising-reform
stem-focused-technology-mediated-advising-reformstem-focused-technology-mediated-advising-reform
stem-focused-technology-mediated-advising-reform
 
Socio Economic Status and Female Enrollment in Engineering and Technology Pro...
Socio Economic Status and Female Enrollment in Engineering and Technology Pro...Socio Economic Status and Female Enrollment in Engineering and Technology Pro...
Socio Economic Status and Female Enrollment in Engineering and Technology Pro...
 

Ähnlich wie Tammy thiele june 2012

Determining factors associated with differential attainment among transnation...
Determining factors associated with differential attainment among transnation...Determining factors associated with differential attainment among transnation...
Determining factors associated with differential attainment among transnation...UoMTeachingExcellence
 
Explore Plan
Explore PlanExplore Plan
Explore Planmngander
 
Using academic data to personalise support in a large faculty (NSW Learning A...
Using academic data to personalise support in a large faculty (NSW Learning A...Using academic data to personalise support in a large faculty (NSW Learning A...
Using academic data to personalise support in a large faculty (NSW Learning A...AdamBridgeman
 
SBE presentation on learning loss
SBE presentation on learning lossSBE presentation on learning loss
SBE presentation on learning lossEducationNC
 
Choice Watch Presentation for Magnet Schools of America National Conference -...
Choice Watch Presentation for Magnet Schools of America National Conference -...Choice Watch Presentation for Magnet Schools of America National Conference -...
Choice Watch Presentation for Magnet Schools of America National Conference -...rocotto
 
Disrupted Futures 2023 | Matching high school endorsement and major choices i...
Disrupted Futures 2023 | Matching high school endorsement and major choices i...Disrupted Futures 2023 | Matching high school endorsement and major choices i...
Disrupted Futures 2023 | Matching high school endorsement and major choices i...EduSkills OECD
 
An Introduction to the Kindergarten Observation Form
An Introduction to the Kindergarten Observation FormAn Introduction to the Kindergarten Observation Form
An Introduction to the Kindergarten Observation Formappliedsurveyresearch
 
Fall TLT board report 9 2012
Fall TLT board report 9 2012Fall TLT board report 9 2012
Fall TLT board report 9 2012ISD191
 
2010 Annual Report
2010 Annual Report2010 Annual Report
2010 Annual Reportkaufnic
 
BG Comm Portfolio 2009
BG Comm Portfolio 2009BG Comm Portfolio 2009
BG Comm Portfolio 2009bgrebow
 
Life after University; what does the landscape look like for Black and Minori...
Life after University; what does the landscape look like for Black and Minori...Life after University; what does the landscape look like for Black and Minori...
Life after University; what does the landscape look like for Black and Minori...Judith Baines
 
Improvement through the use of data 2015
Improvement through the use of data 2015Improvement through the use of data 2015
Improvement through the use of data 2015Glenn E. Malone, EdD
 
Going to College - Barriers & Perceptions
Going to College - Barriers & PerceptionsGoing to College - Barriers & Perceptions
Going to College - Barriers & PerceptionsAmarach Research
 
Basic statistical tools in educational planning
Basic statistical tools in educational planningBasic statistical tools in educational planning
Basic statistical tools in educational planningRai Blanquera
 
Presentation-Orientation-for-deployment-of-NAT-and-QG-Integration-in-LIS-1.pdf
Presentation-Orientation-for-deployment-of-NAT-and-QG-Integration-in-LIS-1.pdfPresentation-Orientation-for-deployment-of-NAT-and-QG-Integration-in-LIS-1.pdf
Presentation-Orientation-for-deployment-of-NAT-and-QG-Integration-in-LIS-1.pdfGabrielleAnneSanGabr1
 
Our Journey to Holistic Admissions
Our Journey to Holistic AdmissionsOur Journey to Holistic Admissions
Our Journey to Holistic AdmissionsJulia Michaels
 

Ähnlich wie Tammy thiele june 2012 (20)

David Ruebain - Current Issues of Equality Diversity in HE
David Ruebain - Current Issues of Equality Diversity in HEDavid Ruebain - Current Issues of Equality Diversity in HE
David Ruebain - Current Issues of Equality Diversity in HE
 
Determining factors associated with differential attainment among transnation...
Determining factors associated with differential attainment among transnation...Determining factors associated with differential attainment among transnation...
Determining factors associated with differential attainment among transnation...
 
Explore Plan
Explore PlanExplore Plan
Explore Plan
 
Using academic data to personalise support in a large faculty (NSW Learning A...
Using academic data to personalise support in a large faculty (NSW Learning A...Using academic data to personalise support in a large faculty (NSW Learning A...
Using academic data to personalise support in a large faculty (NSW Learning A...
 
SBE presentation on learning loss
SBE presentation on learning lossSBE presentation on learning loss
SBE presentation on learning loss
 
Servaas vd berg
Servaas vd bergServaas vd berg
Servaas vd berg
 
Choice Watch Presentation for Magnet Schools of America National Conference -...
Choice Watch Presentation for Magnet Schools of America National Conference -...Choice Watch Presentation for Magnet Schools of America National Conference -...
Choice Watch Presentation for Magnet Schools of America National Conference -...
 
The Effects of a Secondary School Scholarship on School Progression and Youth...
The Effects of a Secondary School Scholarship on School Progression and Youth...The Effects of a Secondary School Scholarship on School Progression and Youth...
The Effects of a Secondary School Scholarship on School Progression and Youth...
 
Disrupted Futures 2023 | Matching high school endorsement and major choices i...
Disrupted Futures 2023 | Matching high school endorsement and major choices i...Disrupted Futures 2023 | Matching high school endorsement and major choices i...
Disrupted Futures 2023 | Matching high school endorsement and major choices i...
 
ALS A & E
ALS A & EALS A & E
ALS A & E
 
An Introduction to the Kindergarten Observation Form
An Introduction to the Kindergarten Observation FormAn Introduction to the Kindergarten Observation Form
An Introduction to the Kindergarten Observation Form
 
Fall TLT board report 9 2012
Fall TLT board report 9 2012Fall TLT board report 9 2012
Fall TLT board report 9 2012
 
2010 Annual Report
2010 Annual Report2010 Annual Report
2010 Annual Report
 
BG Comm Portfolio 2009
BG Comm Portfolio 2009BG Comm Portfolio 2009
BG Comm Portfolio 2009
 
Life after University; what does the landscape look like for Black and Minori...
Life after University; what does the landscape look like for Black and Minori...Life after University; what does the landscape look like for Black and Minori...
Life after University; what does the landscape look like for Black and Minori...
 
Improvement through the use of data 2015
Improvement through the use of data 2015Improvement through the use of data 2015
Improvement through the use of data 2015
 
Going to College - Barriers & Perceptions
Going to College - Barriers & PerceptionsGoing to College - Barriers & Perceptions
Going to College - Barriers & Perceptions
 
Basic statistical tools in educational planning
Basic statistical tools in educational planningBasic statistical tools in educational planning
Basic statistical tools in educational planning
 
Presentation-Orientation-for-deployment-of-NAT-and-QG-Integration-in-LIS-1.pdf
Presentation-Orientation-for-deployment-of-NAT-and-QG-Integration-in-LIS-1.pdfPresentation-Orientation-for-deployment-of-NAT-and-QG-Integration-in-LIS-1.pdf
Presentation-Orientation-for-deployment-of-NAT-and-QG-Integration-in-LIS-1.pdf
 
Our Journey to Holistic Admissions
Our Journey to Holistic AdmissionsOur Journey to Holistic Admissions
Our Journey to Holistic Admissions
 

Mehr von Educational Development Division, University of Liverpool

Mehr von Educational Development Division, University of Liverpool (20)

Bob read
Bob readBob read
Bob read
 
Ian sinha
Ian sinhaIan sinha
Ian sinha
 
Cath gordon teaching and learning conference ppt 2012
Cath gordon teaching and learning conference ppt 2012 Cath gordon teaching and learning conference ppt 2012
Cath gordon teaching and learning conference ppt 2012
 
Josie billington reading for pleasure in schools june 2012
Josie billington reading for pleasure in schools june 2012Josie billington reading for pleasure in schools june 2012
Josie billington reading for pleasure in schools june 2012
 
144A Brownlow Hill: a Prototype Ambient Simulation-based Learning Experience
144A Brownlow Hill: a Prototype Ambient Simulation-based Learning Experience144A Brownlow Hill: a Prototype Ambient Simulation-based Learning Experience
144A Brownlow Hill: a Prototype Ambient Simulation-based Learning Experience
 
Developing strategies and activities to improve interactions between home and...
Developing strategies and activities to improve interactions between home and...Developing strategies and activities to improve interactions between home and...
Developing strategies and activities to improve interactions between home and...
 
FOCAL - Feedback on clinical achievements @ Liverpool
FOCAL - Feedback on clinical achievements @ LiverpoolFOCAL - Feedback on clinical achievements @ Liverpool
FOCAL - Feedback on clinical achievements @ Liverpool
 
The students widening participation forgot? Continuing Education and communit...
The students widening participation forgot? Continuing Education and communit...The students widening participation forgot? Continuing Education and communit...
The students widening participation forgot? Continuing Education and communit...
 
Mike knight
Mike knightMike knight
Mike knight
 
Audio feedback – better feedback?
Audio feedback – better feedback?Audio feedback – better feedback?
Audio feedback – better feedback?
 
Vaughn l&t 21012 presentation
Vaughn l&t 21012 presentationVaughn l&t 21012 presentation
Vaughn l&t 21012 presentation
 
Glynis cousin keynote
Glynis cousin keynoteGlynis cousin keynote
Glynis cousin keynote
 
Alison hobden
Alison hobdenAlison hobden
Alison hobden
 
Arora anu
Arora anuArora anu
Arora anu
 
M hammond
M hammondM hammond
M hammond
 
Lt conf 2011 drywood presentation
Lt conf 2011 drywood presentationLt conf 2011 drywood presentation
Lt conf 2011 drywood presentation
 
L'pool grounding teaching in learning
L'pool   grounding teaching in learningL'pool   grounding teaching in learning
L'pool grounding teaching in learning
 
L'pool grounding teaching in learning
L'pool   grounding teaching in learningL'pool   grounding teaching in learning
L'pool grounding teaching in learning
 
L+t2011(csu)
L+t2011(csu)L+t2011(csu)
L+t2011(csu)
 
201011 t&l conference_dgh_ac_export
201011 t&l conference_dgh_ac_export201011 t&l conference_dgh_ac_export
201011 t&l conference_dgh_ac_export
 

Kürzlich hochgeladen

Easter in the USA presentation by Chloe.
Easter in the USA presentation by Chloe.Easter in the USA presentation by Chloe.
Easter in the USA presentation by Chloe.EnglishCEIPdeSigeiro
 
HED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdfHED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdfMohonDas
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxDr. Asif Anas
 
How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17Celine George
 
Philosophy of Education and Educational Philosophy
Philosophy of Education  and Educational PhilosophyPhilosophy of Education  and Educational Philosophy
Philosophy of Education and Educational PhilosophyShuvankar Madhu
 
Patterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptxPatterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptxMYDA ANGELICA SUAN
 
M-2- General Reactions of amino acids.pptx
M-2- General Reactions of amino acids.pptxM-2- General Reactions of amino acids.pptx
M-2- General Reactions of amino acids.pptxDr. Santhosh Kumar. N
 
Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...raviapr7
 
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptxSandy Millin
 
Benefits & Challenges of Inclusive Education
Benefits & Challenges of Inclusive EducationBenefits & Challenges of Inclusive Education
Benefits & Challenges of Inclusive EducationMJDuyan
 
5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...CaraSkikne1
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17Celine George
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxraviapr7
 
Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.raviapr7
 
The basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxThe basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxheathfieldcps1
 
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRADUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRATanmoy Mishra
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICESayali Powar
 
Practical Research 1 Lesson 9 Scope and delimitation.pptx
Practical Research 1 Lesson 9 Scope and delimitation.pptxPractical Research 1 Lesson 9 Scope and delimitation.pptx
Practical Research 1 Lesson 9 Scope and delimitation.pptxKatherine Villaluna
 
AUDIENCE THEORY -- FANDOM -- JENKINS.pptx
AUDIENCE THEORY -- FANDOM -- JENKINS.pptxAUDIENCE THEORY -- FANDOM -- JENKINS.pptx
AUDIENCE THEORY -- FANDOM -- JENKINS.pptxiammrhaywood
 
Presentation on the Basics of Writing. Writing a Paragraph
Presentation on the Basics of Writing. Writing a ParagraphPresentation on the Basics of Writing. Writing a Paragraph
Presentation on the Basics of Writing. Writing a ParagraphNetziValdelomar1
 

Kürzlich hochgeladen (20)

Easter in the USA presentation by Chloe.
Easter in the USA presentation by Chloe.Easter in the USA presentation by Chloe.
Easter in the USA presentation by Chloe.
 
HED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdfHED Office Sohayok Exam Question Solution 2023.pdf
HED Office Sohayok Exam Question Solution 2023.pdf
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptx
 
How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17How to Use api.constrains ( ) in Odoo 17
How to Use api.constrains ( ) in Odoo 17
 
Philosophy of Education and Educational Philosophy
Philosophy of Education  and Educational PhilosophyPhilosophy of Education  and Educational Philosophy
Philosophy of Education and Educational Philosophy
 
Patterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptxPatterns of Written Texts Across Disciplines.pptx
Patterns of Written Texts Across Disciplines.pptx
 
M-2- General Reactions of amino acids.pptx
M-2- General Reactions of amino acids.pptxM-2- General Reactions of amino acids.pptx
M-2- General Reactions of amino acids.pptx
 
Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...Patient Counselling. Definition of patient counseling; steps involved in pati...
Patient Counselling. Definition of patient counseling; steps involved in pati...
 
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
2024.03.23 What do successful readers do - Sandy Millin for PARK.pptx
 
Benefits & Challenges of Inclusive Education
Benefits & Challenges of Inclusive EducationBenefits & Challenges of Inclusive Education
Benefits & Challenges of Inclusive Education
 
5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptx
 
Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.
 
The basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptxThe basics of sentences session 10pptx.pptx
The basics of sentences session 10pptx.pptx
 
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRADUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
DUST OF SNOW_BY ROBERT FROST_EDITED BY_ TANMOY MISHRA
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICE
 
Practical Research 1 Lesson 9 Scope and delimitation.pptx
Practical Research 1 Lesson 9 Scope and delimitation.pptxPractical Research 1 Lesson 9 Scope and delimitation.pptx
Practical Research 1 Lesson 9 Scope and delimitation.pptx
 
AUDIENCE THEORY -- FANDOM -- JENKINS.pptx
AUDIENCE THEORY -- FANDOM -- JENKINS.pptxAUDIENCE THEORY -- FANDOM -- JENKINS.pptx
AUDIENCE THEORY -- FANDOM -- JENKINS.pptx
 
Presentation on the Basics of Writing. Writing a Paragraph
Presentation on the Basics of Writing. Writing a ParagraphPresentation on the Basics of Writing. Writing a Paragraph
Presentation on the Basics of Writing. Writing a Paragraph
 

Tammy thiele june 2012

  • 1. Finding Finding the Vicars Daughter The Vicars Daughter
  • 2. Overview • Educational Disadvantage • Contextual Data and Applications • Current Research Findings • Challenges • Conclusion
  • 3. Educational Disadvantage • Social class remains the strongest predictor of educational achievement in the UK • Children from low SES slower at acquiring language , less proficient at mathematical tasks and gain significantly poorer paper qualifications (Aikens & Barbarin, 2008, Coley, 2002; Chowdry et al., 2009) – PISA (2009) gap between the mean scores of UK students in the 90th and 10th percentiles was 246 points – the equivalent of six years of schooling on the average
  • 4. Impact of Educational Disadvantage • Hoar & Johnston (2008) school grades do not represent true ability • In England students from the highest social class groups are three times as likely to enter university than those from the lowest social class groups. • “ Graduates on average have better employment prospects and can expect to earn at least £100,000 (160,000 gross) net of tax, more than non-graduates across their working lives.”
  • 6. Targeting “Disadvantage” NS SEC 4 to 7 Data routinely collected Schools/ Colleges Low Participation neighbourhood Not routinely collected DfE/Data Service Free School Meals (Pupil Premium) Indices of Multiple Deprivation / Gathered by (or can be 16 – 19 Bursary IDACI derived from) SEN or AP+ or AP? UCAS…good for baselines, target setting, In care No parental HE tracking and evaluation Geodemographics Disabled In care State school / college Low income backgrounds Information for Targeting & Contextual Data Ethnicity Gender HEIs own criteria
  • 7. Practical Usage of Contextual Data • University of Bristol • Priority is given to students in the following categories:
Local students (resident in BA or BS postcodes) • Those who are part of the first generation in their family to go to university; • Those living in a Low Participation Area (LPN).” • Research Cluster (Hoare, 2009), justify admitting students with between one to two grades lower (for typical AAA offers) and three grades lower (for ABB offers). • University of Birmingham • Basket of measures- Family Education (little or no experience of HE) (1), Parental Occupation- based on household income (£42,600 or less) (2), Post code data, school/college/area rates of progression to HE (3), teacher recommendation of application (4), non- selective state school or college (5)If at selective state school the school where you did your GCSE’s must have achieved less than 49% A*-C grades at GCSE • University of Manchester • Flagged based on following criteria: Performance of school at level 1 ( GCSE or Equivalent) or Level 3 ( A level or equivalent) – flagged if school performs below national average, post code data ( use ACORN and LPN) , care or disabled. • Overall contextual flag is produced if you meet at least one of the social/educational indicators plus the postcode indicator. You will also receive an overall flag if you have been in care for more than three months. – Geo-demographic indicator – An online postcode look-up facility – Educational Indicators (PDF document, 2 MB) – a list of schools and contextual flags
  • 8. Identification of SES Social – Geo-demographic indicators of disadvantage and low progression to HE USED by most Universities • CACI ACORN provides the smallest granulation of analysis, on the full postcode with detailed descriptors for each type • ACORN data consists of 5 categories, 17 groups and 56 types. • HEFCE POLAR2 data assigns all electoral wards into quintiles based on progression to HE. Those wards in the lowest quintile according to HE progression are classified as Low Participation Neighbourhoods. • NS-SEC : – Information obtained directly from UCAS application form – Unknown data ~ 25% – NS-SEC 8 not included – Who categorises the labels?
  • 9. University of Liverpool (2010-2011): Proportion of students and their degree classification in relation to NS-SEC 60 50 40 NS-SEC 1-3 30 % NS-SEC 4-7 Unknown 20 10 0 I II-1 II-2 III PASS
  • 10. “Analysis based on NS SEC 4- 7 excluded students from benefit-dependent families, and Aimhigher was targeting those families,“ “Participation rates from students receiving free school meals rose from 13 per cent in 2005 to 17 per cent in 2008.” "Aimhigher was busy increasing applications, but a lot were not able to get university places… there was a big excess of demand over supply” Aimhigher targeted children as young as 13, so many of these pupils have not even applied to university yet.“
  • 11. Current Research – PILOT PHASE – Stage 1 Analysis INCLUDES ALL degree programmes between 2004/5 and 2009/10 at UoL – ISSUES-Old Faculties (How can we map on to new faculties?), data difficult to obtain, limited to those that completed degree programmes – However, findings from stage 1 highlight meaningful predictors and differences between faculties
  • 12. Flexible and cost- effective approaches: •Use baskets of • Eligible for FSM OR • Receipt of 16-19 Bursary OR measures for macro- A • School Performance targeting to avoid vicar’s daughter and • No Parental HE or overcome limitations of • Parents in manual / semi skilled occupations singular measures and or unemployed (NS-SEC 4-8) B • Deprived Postcode (IMD, LPN, ACORN) OR statistics OR • Disabled OR • In care C
  • 13. UoL - Percentage of Students in Each of the Faculties and for Combination of ALL undergraduate 3yr programmes 2004/5-2009/10 E A V S S&E M 3yrs Male 84.5 42.3 23.2 38.9 44.6 23.4 41.4 Ethnic Minorities 18.3 6 8.7 10.3 8.2 8.2 8.5 26+ 7.7 3.5 0 2.3 2.5 11.2 3.6 Disability 2.8 6.6 8.7 6.1 6.4 8.2 6.5 E- Engineering S- Science A- Arts S& E- Social and Environmental Sciences V- Veterinary Sciences M- Medical Sciences 3yrs- All 3 year degree programmes combined
  • 14. UoL: Percentage of Students in Lowest and Highest Quintiles by IMD 2004/5-2009/10 E A V S S&E M 3yrs 4yrs 35.2 25.1 18.8 28 23.2 20.2 25 27.5 Quintile 1& 2 Quintile 49.4 48.2 62.3 44.9 50.1 48.7 47.5 44.6 4&5 E- Engineering S- Science A- Arts S& E- Social and Environmental Sciences V- Veterinary Sciences M- Medical Sciences 3yrs- All 3 year degree programmes combined
  • 15. Potential analysis plan We are interested in what predicts outcome (final % score or degree classification) Variables we are looking to explore;  UCAS entry score  IMD (as a proxy for SE status)  State school performance  Gender
  • 16. • How/when are • How/ when will we we going to assess what difference monitor the data we have made? (5 or and related more years?) audit? • How are we going to assess progression and retention? • How are we going to ensure • Stage 2– that we take Interviews/Focus into account Groups Demographic Changes?
  • 17. Conclusion-The Challenges What do we need to know: • To target effectively? – What indicators to include? What data do we need, who holds it, and what do we need to collect? – SPA suggested Basket of Measures How can data be “sourced once and used many times”/ what are the resource implications? – Collaboration with Universities?
  • 18. References & Useful Sources • https://www.zotero.org/tammyt/items/ • http://www.maptube.org/map.aspx?s=DBHFOjWDOMsqg ol5yWDAp1wcCnY8CghN • Association of Geographic Information Laboratories for Europe (AGILE) – promoting academic teaching and research on GIS at the European level • Cartography and Geographic Information Society (CaGIS) • Directions Magazine – All Things Location • Federal Geographic Data Committee—United States federal government standards agency. • Geographic Information System (GIS) Educational website— Educational site with PDF lessons and videos to accompany free GIS software.

Hinweis der Redaktion

  1. key
  2. Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis (2007)Richard Harris Æ Ron Johnston Æ Simon Burgess Popul Res Policy Rev (2007) 26:553–579 DOI 10.1007/s11113-007-9042-9 Applying GIS Technology and Geodemographics to College and University Admissions Planning: Some Results from Ohio State UniversityAn example of the use of geodemographics in examining access to education in the United States. The article was written by Professor D Marble and Mr V Mora of the Ohio State University.Additional keywords: Academic USA Research Education Geodemographics PRIZM TIGERgis.esri.com/library/userconfAccess to Higher Education 1991-98: 'Using Geodemographics'A reproduction of an article published in the journal Widening Participation and Lifelong Learning by David Tonks of Lancaster University, in which UK university entrants are analysed by their geodemographic profiles.Additional keywords: Academic UK Research Education Geodemographicswww.staffs.ac.uk/journal/volonetwoCACI LimitedAcorn, the first geodemographic classification in the UK, is produced by market analysis company CACI. The company provides a combination of data, software and consultancy to help market products and services more effectively to the right consumers.Additional keywords: Commercial Biz UK ACORN Geodemographics Lifestyles Databaseswww.caci.co.ukPopul Res Policy Rev (2007) 26:553–579 DOI 10.1007/s11113-007-9042-9 Neighborhoods, Ethnicity and School Choice: Developing a Statistical Framework for Geodemographic Analysis Richard Harris Æ Ron Johnston Æ Simon Burgess Archer L, Hutchings M, 2000, ``'Bettering yourself '? Discourses of risk, cost and benefit in ethnically diverse, young working-class non-participants' constructions of higher education'' British Journal of Sociology of Education 21 555 ^ 574Archer, L, Hutchings (2000) Bettering yourself, discourse of risk, cost and benefit in ethnically diverse, young working class non participants. Conway, C., Coombes, M. and Raybould, S. (2002), Participation in Further and Higher Education across the North East Region: A Benchmark Analysis of Recent Patterns, Centre for Urban and Regional Development Studies, University of Newcastle, Newcastle upon Tyne. Croot, D. and Chalkley, B. (1999), “Student recruitment and the geography of undergraduate geographers in England and Wales”, Journal of Geography in Higher Education, Vol. 23 No. 1, pp. 21-47. • Clare Holdsworth (2006) 'Don't you think you're missing out, living at home?' Student experiences and residential transitions. Sociological Review,(),pp.495-519 • Jackie Patiniotis and Clare Holdsworth (2005) 'Seize that chance!': Leaving Home and Transitions to Higher Education. Journal of Youth Studies,8(1),pp.81-95 
  3. Deprivation in Liverpool from public profiler. Also possible to show peoples grades according to location, Relates to AAB.Medicine, knowing how to widen participation will help you know how to do it for every subject,