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Learning Outcomes Assessment of Master and PhD Theses Kamran Siddiqui Mechanical and Materials Engineering, Western University Learning Outcomes: Evolution of Assessment DoubleTree by Hilton Hotel, Toronto October 17-18, 2016 Mechanical and Materials Engineering

Learning Outcomes Assessment of Master and PhD …oucqa.ca/.../03/Learning-Outcomes-Assessment-of-Master-and-Ph… · Learning Outcomes Assessment of Master and PhD Theses. ... Thesis

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Page 1: Learning Outcomes Assessment of Master and PhD …oucqa.ca/.../03/Learning-Outcomes-Assessment-of-Master-and-Ph… · Learning Outcomes Assessment of Master and PhD Theses. ... Thesis

Learning Outcomes Assessment of Master and PhD Theses

Kamran SiddiquiMechanical and Materials Engineering, Western

University

Learning Outcomes: Evolution of Assessment DoubleTree by Hilton Hotel, Toronto

October 17-18, 2016

Mechanical and Materials Engineering

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Introduction Master and PhD theses comprise a major

portion of graduate curriculum A strong indicator of,

• technical skills, • thinking, analytical and writing/presentation

abilities A key parameter in the overall assessment of

graduate degree outcomes Large variation in the standards used by

faculty members to judge theses

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Introduction Thesis work covers all six graduate attributes

identified by the Council of Ontario Universities

Hence, a strong indicator of the fulfilment of degree level expectations

Currently, scarcity in the use of quality indicators to assess graduate attributes of theses

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Workshop focus Learning outcomes assessment of graduate

theses Topics of discussion,

• Development of assessment rubric• Its implementation• Data collection and analysis • Thesis self-assessment• Future directions

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Ontario Universities’ Degree Level Expectations

Depth and breadth of knowledge

Research and scholarship

Application of knowledge

Autonomy and professional capacity

Communication skills

Awareness of the limits of knowledge

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Initiative and challenges Graduate program in Mechanical and

Materials Engineering initiated the process of learning outcomes assessment in Winter 2015

Used available resources to develop a rubric for graduate thesis assessment

A major challenge was to keep the rubric general enough to accommodate research diversity

Should cover the overall research expectations i.e. thesis content and oral defense

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Further challenges Thesis quality indicators and related rubrics in

the literature are primarily defined based on thesis skeleton i.e., • Introduction• Literature review• Theory• Methods• Results/data analysis• Discussion and conclusions

No indicators and rubrics for thesis assessment are defined based on six graduate attributes

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Approach used Consulted Graduate Degree Level Expectations

guidelines (OUCQA) Changed from 4-point to 3-point indicators Research and scholarship divided into two sub-

categories• General• Critical thinking

Communication skills divided into two sub-categories• Thesis• Oral exam

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Developed Rubric

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Implementation

Started from April 2015

Thesis + oral defense assessed by all examiners

Each examiner assigned a numeric score against each attribute

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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DBK: Depth and breadth of knowledge RS(G): Research and scholarship (General)RS(CT): Research and scholarship (Critical thinking) AK: Application of knowledgePC: Professional capacity CS(T): Communication skills (Thesis)CS(O): Communication skills (Oral exam) ALK: Awareness of limits of knowledge

Data Analysis(Sample size=33, PhD=3, Master=30)

1.0

1.2

1.4

1.6

1.8

2.0

2.2

2.4

2.6

2.8

3.0

DBK RS(G) RS(CT) AK PC CS(T) CS(O) ALK Overall

Average Scores (Mechanical Engineering Graduate Students)

Master

PhD

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Individual scores in each graduate attribute

0.0

0.5

1.0

1.5

2.0

2.5

3.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33

DBK

R&S(G)

R&S (CT)

AK

PC

CS (T)

CS (E)

ALK

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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2.0

2.1

2.2

2.3

2.4

2.5

2.6

DBK RS(G) RS(CT) AK PC CS(T) CS(O) ALK Overall

Canadian International

Categorization based on prior degree

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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0.0

0.5

1.0

1.5

2.0

2.5

3.0

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

Canadian

DBK

RS(G)

RS(CT)

AK

PC

CS(T)

CS(O)

ALK

0.0

0.5

1.0

1.5

2.0

2.5

3.0

1 2 3 4 5 6 7 8 9 10 11 12 13

International

DBK

RS(G)

RS(CT)

AK

PC

CS(T)

CS(O)

ALK

Individual scores based on prior degree

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Thesis self-assessment The developed rubric serves as an

assessment tool for examiners Students are aware of this rubric No formal mechanism in place to self assess

thesis expectations against the rubric A thesis self-assessment form is recently

introduced Students self-assess their theses against the

rubric indicators

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Thesis self-assessment Students complete this form and submit

along with thesis for examination Key benefits,

• Students can judge the strengths and weaknesses in their theses

• Assist in the preparation of thesis defense• Provides the examiner a snoop of thesis quality in

meeting the expectations before a thorough thesis review

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Example

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Future directions

Separate rubrics for Master and Doctoral theses

Collection and analysis of the assessment data

Identification of any shortcoming and necessary corrective action

Incorporation into the overall curriculum mapping of the graduate programs

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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References Lovitts, B. E. (2007). Making the Implicit Explicit: Creating

Performance Expectations for the Dissertation. Stylus Publishing, LLC.

Lovitts, B. E., & Wert, E. L. (2008). Developing Quality Dissertations in the Sciences: A Graduate Student’s Guide to Achieving Excellence. Stylus Publishing, LLC.

Maki, P., & Borkowski, N. A. (2006). The Assessment of Doctoral Education: Emerging Criteria and New Models for Improving Outcomes. Stylus.

Appendix 1: OCAV’s Undergraduate and Graduate Degree Level Expectations, Ontario Universities Council on Quality Assurance (http://oucqa.ca/framework/appendix-1/)

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Questions for table discussion Strengths and shortcomings of the thesis

assessment rubric Other aspects of data analysis and

comparison Utilization of results from the collected

data Strengths and shortcomings of students’

thesis self-assessment

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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Thank you

Learning Outcomes: Evolution of Assessment Toronto, October 17-18, 2016

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