Use the five GAA-LS subscales to target instruction and make AI-related assessment expectations visible in assessment briefs¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 design), q3 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

The article recommends using the GAA-LS diagnostically: for instructors, "The five subscales can therefore inform targeted teaching rather than broad warnings about AI use." For course design, the scale points to elements that should be made visible in assessment briefs: criteria, permitted and prohibited AI support, expectations for checking outputs, rules for acknowledging assistance, and ways to use feedback in revision. For institutions, the instrument offers a way to evaluate whether policy messages are becoming usable student knowledge.

Design Implications¶

Context¶

Requirements¶

• Instructors or institutions administer the GAA-LS to identify where students need support when AI is allowed or discussed in assessment.

Constraints¶

• The article notes a class may be comfortable using AI feedback but less clear about disclosure rules, evidence checking, or the limits of acceptable assistance, so support should be targeted to the weak subscales.

Target Learners¶

• higher education students

Target Learning Goals¶

• responsible GenAI use in assessment, disclosure of AI assistance, critical use of AI feedback

Claims¶

• Exploratory factor analysis supports a five-factor GAA-LS structure explaining 67.82% of variance [+W]

Related Strategies¶

• Make success criteria visible to students through explicit explanations, think-alouds, and co-construction
• Embed SRL-oriented AIGC pedagogy: prompt-and-reflect routines, verification rubrics, and feedback literacy

Examples¶

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Key Sources¶

• Nie J, Zhang Z, Lu X, Zhang Y and Zhang M (2026) Development and validation of the generative AI assessment literacy scale for higher education students: psychometric evidence and associations with feedback engagement and academic integrity. Front. Educ. 11:1934632. https://doi.org/10.3389/feduc.2026.1934632