Generative AI for Curriculum and Assessment Design in Competency-Based TVET: An Exploratory Evidence Map with Neutrosophic Annotations

Authors

• Maria del Refugio Patino Cayetano, Universidad Tecnologica de la Region Norte de Guerrero, Mexico
• Blanca Estela Calderon Munoz, Universidad Tecnologica de la Region Norte de Guerrero, Mexico

Abstract

Technological and polytechnic universities in Mexico revise their competency-based study plans on a multi-year cycle, and generative AI (GAI) tools are increasingly used informally by faculty to draft curriculum documents and evaluation instruments, without a published evidence base for the practice. This paper reports an exploratory, non-registered scoping search of the OpenAlex database for evidence on GAI use in curriculum and assessment design, read against four explicit propositions. What remains undocumented is narrower: authoring of curriculum or evaluation documents by GAI inside a multi-year, institutional, competency-based TVET/polytechnic revision cycle, specifically within the Textile Design and Fashion Engineering discipline.

Recommended Citation

Patino Cayetano, Maria del Refugio and Blanca Estela Calderon Munoz. "Generative AI for Curriculum and Assessment Design in Competency-Based TVET: An Exploratory Evidence Map with Neutrosophic Annotations." Neutrosophic Sets and Systems 101, 1 (2026). https://digitalrepository.unm.edu/nss_journal/vol101/iss1/12