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Assessment without examinations: weight moved to in-class exercises, reflective writing, and a defended team project that resist unattributed automation

Design · All designs
Evidence · 1 claim (1 mixed) · 1 study (1 design), q1 · 0 of 1 report an effect size · 1 claim rests on one study

Description

This pattern rebuilds grading around tasks a language model cannot quietly ghost-write, on the bet that "an assessment a model can silently complete is a weak assessment." The Spring 2026 grade comprised in-class exercises done in the room in a fixed hour (20 percent), weekly projects that may be reflection, programming, or a mix (40 percent), and a team project (40 percent), with no midterm or final. Reflective writing carries a first-person account of the student's own process, and in-class exercises were graded complete-or-incomplete on submission with AI scores advisory only.

Design Implications

Context

Requirements

  • In-class exercises require a fixed scheduled hour in the room and produce an artifact on the spot
  • Reflective writing must be required to be in the student's own voice

Constraints

  • The author's own students, asked to design fair grading for such a course, mostly reinvented proctored or handwritten assessment, the strongest internal challenge to this structure
  • The author makes no causal or learning-outcome claims for the structure

Target Learners

  • upper-division undergraduate computer science students

Learning Goals

  • artificial intelligence fundamentals
  • engineering judgment and supervision of AI tools
  • reflective practice

Claims

Examples

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Key Sources

  • Yusuf Pisan. (2026). Teaching Intro AI When the Tools Can Do the Homework: A Course Redesign and a Student Bill of Rights. https://arxiv.org/abs/2608.05175
Page metadata
Field Value
type design
id assessment-resisting-unattributed-automation
title Assessment without examinations: weight moved to in-class exercises, reflective writing, and a defended team project that resist unattributed automation
description This pattern rebuilds grading around tasks a language model cannot quietly ghost-write, on the bet that "an assessment a model can silently complete is a weak assessment." The Spring 2026 grade comprised in-class exer...
status review
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — yusuf-pisan-2026

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