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Extension of Biggs' constructive alignment for embedding GenAI in existing curricula

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 qualitative), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The article extends Biggs' theory of constructive alignment into the GenAI era, using it as the lens for curriculum integration of generative AI in business higher education. Its theoretical contribution is "demonstrating how GenAI can be embedded into existing pedagogical strategies without requiring full curriculum redesign". On this account, GenAI tools are aligned with intended learning outcomes and existing teaching and assessment strategies, so adoption proceeds by integration into the aligned system rather than by rebuilding the curriculum around the technology.

Design Implications

Context

Requirements

  • GenAI use must be aligned with strategic learning outcomes for adoption to be coherent and sustainable

Constraints

  • The extension is demonstrated in business higher education contexts at one UK university during first-year implementation

Target Learners

  • undergraduate and postgraduate business higher education students

Learning Goals

  • meaningful integration of GenAI tools into business curricula aligned with learning outcomes

Claims

Examples

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Key Sources

  • Zhou, X., Chai, Q., Chilukuri, B., & Quach, J. J. Y. (2026). From Experimentation to Integration: Embedding GenAI in Business Higher Education through the Lens of Constructive Alignment. Journal of University Teaching and Learning Practice, 23(2). https://doi.org/10.53761/pc04tp05
Page metadata
Field Value
type design
id constructive-alignment-genai-embedding-extension
title Extension of Biggs' constructive alignment for embedding GenAI in existing curricula
description The article extends Biggs' theory of constructive alignment into the GenAI era, using it as the lens for curriculum integration of generative AI in business higher education.
status review
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — zhou-2026

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