Skip to main content
AZIZ SHUAIB AUSI
1 min readKnowledge Resource

Knowledge Resource

Research Summary: Development and validation of the generative AI assessment literacy scale for higher education students: psychometric evidence and associations with feedback engagement and academic integrity

Original authors
Attribution requires verification
Original source
Frontiers in Education
Summary & Analysis prepared by
Aziz Shuaib Ausi
Resource type
Research Summary / Knowledge Resource
Resource published on AZIZ OS
10 September 2026
Last updated
8 October 2026
Reading time
1 min
Publication type
Knowledge Resource
Availability
Open access
About this Summary & Analysis

AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.

Checking access…

A new psychometric tool, the Generative AI Assessment Literacy Scale (GAA-LS), has been developed and validated to measure higher education students' capacity for responsible Generative AI (GenAI) use in assessment contexts. This tool aims to conceptualize and quantify students' literacy in an area where their engagement with GenAI for tasks like interpreting assignments, drafting, and revising is growing.

Why it matters

The increasing integration of Generative AI into educational and professional workflows necessitates robust methods for assessing responsible and ethical usage. This development provides a standardized metric to understand and potentially improve AI literacy, which is crucial for maintaining academic and professional integrity while leveraging new technologies.

Key insights

  • The GAA-LS was developed to measure students' responsible use of GenAI within academic assessments.
  • The development involved a two-study scale development and validation design.
  • Initial item generation was based on literature covering assessment literacy, AI-supported assessment, feedback engagement, and academic integrity.
  • Expert review and pilot testing informed the initial item pool of 30 items.
  • Study 1 included item analysis and exploratory factor analysis with 486 students.
  • Study 2 focused on confirmatory factor analysis (details not fully provided in the summary).

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1934632

Related intelligence and resources

Previous

How Some Colleges Responded to DOD’s Foreign Partnerships Order

Next

Exploratory profiles of theatre arts teachers in Latvia based on their orientations toward educational goals

Citation

Cite the original work (APA 7)

The original source is authoritative for this citation. Cite the source publication directly — this attribution is pending verification. Open the original source.

Verification

This is an authenticated AZIZ OS resource record.

Verification ID
ASA-EXE-2026-00357
Version
v1.0 · r0
Issued
10 September 2026
Resource prepared by
Aziz Shuaib Ausi
Resource status
Research Summary / Knowledge Resource
Underlying work
Development and validation of the generative AI assessment literacy scale for higher education students: psychometric evidence and associations with feedback engagement and academic integrity
Original authors
Attribution requires verification
Original source
Frontiers in Education
Provenance status
Attribution requires verification
Rights
Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.

This verification confirms the AZIZ OS resource record and its documented provenance. It does not establish authorship of the underlying external work.

Verify this resource