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Record W4401312109 · doi:10.18260/1-2--48493

Work in Progress: Grading through a Capability Lens

2024· article· en· W4401312109 on OpenAlexaff
Stewart J. Thomas, Sarah Appelhans, Michael Thompson, R.L. Thomas, Philip Asare, Alan Cheville

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Pedagogy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGrading (engineering)FeelingHigher educationMathematics educationPsychologyCurriculumComputer sciencePedagogyEngineeringSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Abstract The purpose of this WIP research paper is to briefly consider the basis of higher education's current grading system and to discuss an implemented grading structure based on a human development framework which was part of a cultural shift within the department. The letter-grade marking system is relatively new compared to the institution of higher education and brings with it a secondary effect of an "A" ranking conveying significant value and meaning to the interpreter. Students (and faculty) bring their own interpretation of what it means to be an 'A' student and connect this to their personal identity. The shift to letter-based grades coincided with influx of capital into American universities and an industry need for more research. Providing such letter-based sortings is often a required part of the instructional contract with most university structures. Grading systems at their best may provide helpful developmental feedback to learners and reward valued behaviors, but they are also punitive and contribute to shame and feelings of alienation or un-belonging. Grading itself is a strong voice of the faculty. While a curriculum guides the overall experience of students, grades themselves are the "coin of the realm" in terms of directly conveying students what faculty value. These weightings of various activities and what work is and is not graded tacitly tell students where faculty expect students to spend their time and effort. Who can be an engineer is then restricted to those who show aptitude in predefined outcomes and can successfully navigate the grading structures given to them. We ask if it is possible to grade across a curriculum in a way that increases opportunities for student agency and can convey to students the multi-faceted nature of being an engineer. While technical skills and knowledge are important, they are only one aspect of being an engineer. We introduce an attempted grading structure that includes six factors of engineering development used across each assignment within a first year engineering course. This change informed ongoing efforts to align grading approaches that place value on student agency in student development and informed an educational model based on the Capability Approach.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.291
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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