GenAI is argued to create an opportunity to move assessment away from sorting and ranking students toward recognising diverse ways of knowing¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? The authors argue that GenAI creates an opportunity to move away from assessment practices that sort and rank students toward approaches that recognise diverse ways of knowing. → Dollinger 2026
Evidence¶
Dollinger 2026¶
Dollinger, M., & Nieminen, J. (2026). Reimagining success and failure: equitable assessment practices in an age of AI. Journal of University Teaching and Learning Practice, 23(1). https://doi.org/10.53761/20z06b11
q1 · i? · theoretical · r2
Conceptual argument advanced in this conceptual paper's abstract. The authors explicitly frame this as an argument ("We argue") rather than an empirical finding; no data or tests are reported in the supplied text.
"We argue that GenAI creates an opportunity to move away from assessment practices that sort and rank students toward approaches that recognise diverse ways of knowing."
Discussion¶
Related Claims¶
- GenAI-era assessment reform should move beyond defensive approaches focused primarily on preventing misconduct or detecting AI use — a broader claim this one bears on
- AI agents designed for specific educational purposes can support joyful assessment by creating low-stakes opportunities for practice, feedback, reflection, personalization, and multimodal demonstration of learning — related
- The book argues that quality assessments can provide accurate and timely information to maximize student learning, in contrast to punitive testing rhetoric — related
- Staff recognise substantial opportunities to use GenAI to enhance teaching through streamlined administrative processes, improved curriculum and assessment design, and student-centred learning activities. — related
- GenAI in CS education is argued to enhance student engagement, support equitable learning, and relieve instructional burden — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
genai-opportunity-move-beyond-sorting-ranking |
title |
GenAI is argued to create an opportunity to move assessment away from sorting and ranking students toward recognising diverse ways of knowing |
description |
GenAI is argued to create an opportunity to move assessment away from sorting and ranking students toward recognising diverse ways of knowing |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — dollinger-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.