Re-imagining Assessment Choices

Colin Madland

2025-10-23

Welcome

What is Assessment?

Assessment Triangle

A teal triangle diagram illustrating the assessment triangle. The three sides are labeled Observation, Interpretation, and Cognition in white text. Inside the triangle, three white arrows form a smaller triangle, showing the relationships between the three concepts. The background is plain white, and the tone is neutral and informative.

A grade is an inadequate report of an inaccurate judgement by a biased and variable judge of the extent to which a student has attained an undefined level of mastery of an unknown proportion of an indefinite material.

Purposes of Assessment…

…of learning
…for learning
…as learning

learning is ontological

“The mission of Trinity Western University, as an arm of the Church, is to develop godly Christian leaders: positive, goal-oriented university graduates with thoroughly Christian minds; growing disciples of Jesus Christ who glorify God through fulfilling the Great Commission, serving God and people in the various marketplaces of life.”

teaching is ontological

assessing is ontological

Assessment Identity

beliefs | feelings | knowledge | skills

Discuss with your group how you would characterize your assessment identity as it is and how it came to be.

Highlights?

Agency in Assessment

letter.grade quality.characteristics
A Outstanding, excellent work; exceptional performance with …
B Good, competent work; laudable performance with…
C Adequate, reasonably satisfactory work; fair performance but infrequent evidence …
D Minimally acceptable work; relatively weak performance with …
F Inadequate work; poor performance that indicates a lack of understanding …

The University-wide system of percentage equivalents is shown in the table below [upcoming slide]. Faculty members may deviate from this scale; however, if they do so, they must indicate, in their course syllabus, the percentage equivalency system they use.

What do you notice? What do you wonder?

Percentage Equivalents

letter.grade percentage grade.point
A+ 90-100 4.3
A 85-89 4.0
A- 80-84 3.7
B+ 77-79 3.3
B 73-76 3.0
B- 70-72 2.7
C+ 67-69 2.3
C 63-66 2.0
C- 60-62 1.7
D+ 57-59 1.3
D 53-56 1.0
D- 50-52 0.7
F Below 50 0.0

Breakout Cooperative Activity

10 mins

  • shared MS Excel file which contains simulated grade data from a class of 100 learners who completed 11 assignments, two papers, one midterm exam, and one final exam.
  • all items in the gradebook are recorded as a raw score out of 100
  • download the file and open in MS Excel
  • using the tools in Excel, decide as a group how you would report these learners’ final letter grades
  • calculate the grades in the columns to the right of the data
  • Use the TWU Standard Grading System
Open File menu in MS Excel online showing the option to 'Create a copy', then the suboption 'Download a Copy'.

Data Types

flowchart TD
A((Data)) --> B(Qualitative - non-numerical)
A --> C(Quantitative - numerical)
B --> D(Nominal)
B --> E(Ordinal)
C --> F(Interval)
C --> G(Ratio)

Data Type Mean Equidistant True Zero
Nominal
Ordinal
Interval
Ratio

GRADE DATA IS ORDINAL!

  • averages don’t make sense
  • no true zero

Validity and Reliability

four bulls-eye's with the one on the left showing an array of red dots all missing the target and labeled, 'not valid or reliable'. The second shows an array of dots in the top of outer ring and is labeled 'reliable but not valid'. the third shows an array of dots in the middle ring and is labeled 'both valid and reliable'. the last one has red dots in the centre and green dots around the outside and is labeled 'unfair'.
Histogram of data from Starch and Eliott
Histogram of data from Starch and Eliott faceted by grader
Beeswarm chart of data from Starch and Eliott
violin plot of data from Starch and Eliott

Breakout Conversation

  • download ‘starch-elliott.zip’ and extract to view the images
  • discuss in your group to make sense of what you see
  • all of the plots are different visualizations of the same data

Where to go from here?

Clearly-defined outcomes

- ‘Learners will be able to…’ - [verb] - [level of proficiency] - not ‘learners will [verb]’ (that’s an activity, not an outcome) - pay attention to the verb - remember vs. apply - define vs. create

Grades communicate progress

  • fewer categories of quality (5-13)
  • not assessable, emerging, developing, proficient, extending
  • not assessable, revision needed, meets expectations, excellent
  • 🏗️, ✏️, 👏🏿, 💅🏽, ✨

Closed feedback loops

Knowledge of Results

flowchart TD
subgraph Assignment 2
    D[Assignment 2 Delivery] -->|Instructor Assessment| E(Knowledge of Results)
    E --> F{fin}
end  
subgraph Assignment 1
    A[Assignment 1 Delivery] -->|Instructor Assessment| B(Knowledge of Results)
    B --> C{fin}
end
  

Feedback Loops

flowchart TD
A(Learner Work) --> B(Instructor Evaluation)
B --> C(Feedback)
C -->|Learner Sensemaking| A

Reassessment without penalty

Important

This does NOT mean ‘reassessment without limit’!

Reassessment without penalty

flowchart TD
A(Assignment 1 Delivery) --> C(Instructor Assessment of Outcome 1) --> B(Feedback)
B -->|Learner Sensemaking| D(Assignment 2 Delivery)
D --> C
D --> E(Instructor Assessment of Outcome 2)

Knowledge emerges only through invention and re-invention, through the restless, impatient, continuing, hopeful inquiry human beings pursue in the world, with the world, and with each other. (Freire, 1990, p. 72)

Stop. Be outside. Think.

cmad.land - slides

References

Earl, L. M. (2013). Assessment as learning: Using classroom assessment to maximize student learning (Second edition). Corwin Press.
Feldman, J. (2019). Grading for equity: What it is, why it matters, and how it can transform schools and classrooms. Corwin, a SAGE Company.
Freire, P. (1990). Pedagogy of the oppressed. Penguin.
Looney, A., Cumming, J., van der Kleij, F. M., & Harris, K. (2017). Reconceptualising the role of teachers as assessors: Teacher assessment identity. Assessment in Education: Principles, Policy & Practice, 25, 442–467. https://doi.org/gfkfk6
Pellegrino, J. W., Chudowsky, N., & Glaser, R. (2001). Knowing What Students Know: The Science and Design of Educational Assessment. National Academies Press. https://doi.org/10.17226/10019
Starch, D. (1913). Reliability and Distribution of Grades. Science, 38(983), 630–636. https://doi.org/10.1126/science.38.983.630
Starch, D., & Elliott, E. C. (1912). Reliability of the Grading of High-School Work in English. The School Review, 20(7), 442–457. https://doi.org/10.1086/435971