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The use of Geographical Information Systems in understanding student and catchment profiles

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1. HEA Incoming Student Survey on Under Represented Groups. Incoming ... Questions ?? Maura McGinn. Director of Institutional Research. maura.mcginn_at_ucd.ie ... – PowerPoint PPT presentation

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Title: The use of Geographical Information Systems in understanding student and catchment profiles


1
The use of Geographical Information Systems in
understanding student and catchment profiles
  • Maura McGinn
  • Director of Institutional Research
  • maura.mcginn_at_ucd.ie

2
Introduction
  • What is GIS
  • The context of the National Plan for Equity of
    Access to Higher Education 2008-2013
  • Different Data Sources

3
What is GIS
  • GIS is a computer system for capturing, storing,
    checking, integrating, manipulating, analysing
    and displaying data related to its geographical
    position
  • Typically data are built up in layers. Each layer
    holds data about a particular kind of feature
  • GIS can relate otherwise disparate data on the
    basis of common geography, revealing hidden
    patterns, relationships, and trends

4
The Context
  • The context of the National Plan for Equity of
    Access to Higher Education 2008-2013
  • Address the poor participation of students from
    the Semi-skilled and unskilled manual group at
    third level.
  • Target for the HE sector to increase the entry
    rates of all Socio-Economic groups to at least
    54 by 2020.
  • The HEA currently monitor this by collecting data
    from our incoming students.

5
So, how can GIS help?
6
The Data Layers 1. HEA Incoming Student Survey
on Under Represented Groups
  • Incoming first year students
  • Socio-Economic Group Coding
  • UCD Profile
  • Concentration in Higher Socio-Economic Groups
  • Below average in mid-low Socio-Economic Groups

7
The Data Layers 2. UCD Incoming Student Data
  • 20 of UCD incoming students come from 11
    secondary schools
  • 80 of UCD incoming students com from 187 (37 of
    all secondary schools)

8
The Data Layers 2. UCD Incoming Student Data
  • Locating incoming student
  • Can identify UCD Catchment areas

9
The Data Layers 3. Census of Population 2006,
Central Statistics Office
  • Census is available at Electoral Districts (EDs)
  • Mapping variables quickly shows patterns within
    the data

10
Combining Layers
  • Can identify the top feeder schools
  • Can identify concentrations of high
    socio-economic group

11
Identifying Target Areas
  • Target areas of high concentrations of lower
    socio-economic groups
  • Overlay secondary schools graded by the number of
    UCD student

12
Questions ??
  • Maura McGinn
  • Director of Institutional Research
  • maura.mcginn_at_ucd.ie
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