Ontario’s transfer system: Examining PSE students’ trajectories

Institutions


Multilateral/Systems Pathway Agreements


Bilateral/Direct entry Programme


Study


Generic Pathways


Specific Pathways













Outline
Context
Concepts and realities
Research Design
A multi-level approach
Research Findings
Unexpected trajectories
Discussion and Implications
Towards a decision-making framework
2
Pathway Agreements vs. Paths Available to Students
8
Proximate college
identification
C to U student
transfers by institution
Identification of
graduates'
transfer paths
Graduates' mobility
by field and sector
Institutional
pathway profiles
All PSE articulation agreements
A Multi-level Approach
7

ONCAT
Pathway
Dataset
2013-14
Graduate
Satisfaction
Survey
Commuting
Google
Map
2013
National Graduates Survey
Research Goals
To better understand trends in student use of current transfer pathways across Ontario PSE.
To see how commuting distances affect rates of transfer-student use.
to inform a Decision-making tool for Ontario PSE aimed at supporting responsive pathway development.
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Research Design
A multi-level approach
5
Concepts and Realities
The role and purpose of qualifications

Structural and political confines

Complex system design issues

Administrative realities
4
Context
Concepts and realities
3
Research Findings
Unexpected trajectories
9
9,000 pathways link colleges
to universities.
Universities' medians:
6 generic
and 134 specific.
Universities favour
one type:
generic (9),
specific (8),
both (2), or
neither (1).
Pathways Developed
10

ONCAT
Pathway
Dataset
2013-14
Graduate
Satisfaction
Survey
Commuting
Google
Map
2013
National Graduates Survey
5,000 transfer
students and
9,000 pathways.
The median ratio
is 1.3 transfer
students per
pathway.
More pathways do not
lead to more transfer
students, except for blanket generic agreements.
Pathways Used (GSS)
11

ONCAT
Pathway
Dataset
2013-14
Graduate
Satisfaction
Survey
Commuting
Google
Map
2013
National Graduates Survey
Thank you!
The OISE Pathways to Education
and Work Research Group
www.oise.utoronto.ca/pew/
17
Discussion and Implications






Towards a decision-making framework
16
Ontario's Transfer System
Examining PSE Students' Trajectories
Dr Mary Catharine Lennon, Amanda Brijmohan, Eric Lavigne
Pathways to Education and Work, OISE
Pathway Symposium, Toronto
April 5, 2016
1
Discussion and Implications
Towards a decision-making framework
15
Students transfer in
greater numbers
to institutions
within 80 km.
Universities
typically have
3 proximate colleges
(median, range 1 to 10).
27% of universities' pathways
are with proximate colleges (median).
Proximate Pathways
13

ONCAT
Pathway
Dataset
2013-14
Graduate
Satisfaction
Survey
Commuting
Google
Map
2013
National Graduates Survey
College to university transfer is not the most used path
of graduates.
Only 37% of C to U
transfer graduates
stay in the same
broad field.
Others choose
complementary
broad fields.
Pathways Used (NGS)
12

ONCAT
Pathway
Dataset
2013-14
Graduate
Satisfaction
Survey
Commuting
Google
Map
2013
National Graduates Survey
Students favour
proximate institutions.
27% of pathways are with proximate partners.
Median ratio is 1.3
transfer students
per pathway.
The majority of transfer graduates switch
broad field.
New emerging
challenges
9,000 C to U pathways.
55% of universities favour generic pathways.
Important accomplishments
Findings Summary
14

ONCAT
Pathway
Dataset
2013-14
Graduate
Satisfaction
Survey
Commuting
Google
Map
2013
National Graduates Survey
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2015 ONCAT Pathways Dataset
Comprehensive dataset outlining all articulation agreements of Ontario PSE institutions as of August 2015. Bear in mind that the numbers you see here, may not represent your institutions most up to date pathway articulation. We examined C-U approved agreements in our counts.
2013 National Graduate Survey
Obtained from StatsCan, this survey captures links between PSE sector and the labour market
Captures mobility of credential holders by field of study; for our purposes, we looked at college credential holders who went on to pursue a university credential and their field of study.
Data used reflects Ontario.
Google Maps (commuting parameters between institutions)
used to examine commuting distances between institutions against student transfer rates.
Distances in km, time in hrs.
Used only the main campuses; satellite campuses not considered.
based on previous work by Marc Frennette on distance education suggested to us commutable institutions for students were approximately 80 km.
2013/2014 Graduate Satisfaction Survey
Obtained secondary analysis data from our Seneca Colleagues at the Centre for Research in Student Mobility
The GSS survey details graduates' satisfaction with college education, and future goals of employment and further education.
Data notes transfer mobility of college grads into university

From this sources we were able to create data products that were used in our analysis. We compiled for each university as receiving institutions, institutional profiles summarizing all of the articulated transfer agreements.
 
From the GSS survey, we were able to see C-U transfer student numbers by institution.
 
From the NGS survey, we were able to see student mobility by the the top Fields of Study transfer trends taken by students in the C-U transfer sector.
 
From the google maps parameters, we were able to compare available pathways, with how close sending and receiving institutions were.

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Multilateral/Systems Pathway Agreements
Bilateral/Direct entry Programme
Institutions
Generic Pathways
Specific Pathways
Study