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Evolving-artifact course organization: each module's output becomes the next module's input

Design · All designs
Evidence · no claims cited

Description

A course-level structural pattern in which module deliverables chain across the lifecycle so that students revisit AI-related decisions repeatedly with accumulating evidence. The article states: "A key structural principle is theevolving-artifactorganization: each module's output becomes the next module's input, so students revisit AI-related decisions repeatedly with accumulating evidence." The author identifies it as the key transferable principle for educators integrating AI into existing BPM courses.

Design Implications

Context

Requirements

  • Group work with results delivered at each module milestone
  • module sequence spanning modeling, simulation, redesign, implementation, and mining

Constraints

  • Instantiated in a single Master-level program with a banking onboarding case; generalization to other domains or study levels requires further evidence

Target Learners

  • Master-level university students in project-based BPM courses

Learning Goals

  • grounding AI adoption decisions in process-level evidence accumulated across phases

Claims

Examples

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Key Sources

  • Amin Jalali. (2026). AI-Decision Checkpoints for AI-Augmented Business Process Management: Framework and Educational Instantiation. https://arxiv.org/abs/2610.06207
Page metadata
Field Value
type design
id evolving-artifact-module-chain
title Evolving-artifact course organization: each module's output becomes the next module's input
description A course-level structural pattern in which module deliverables chain across the lifecycle so that students revisit AI-related decisions repeatedly with accumulating evidence.
status review
generated by process:settle-candidates on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — amin-jalali-2026

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