The EUIA scale for fostering learners’ AI competencies through assessment

Authors

DOI:

https://doi.org/10.47408/jldhe.vi39.1664

Keywords:

AI literacy, generative AI, assessment, digital literacy, AI competency, higher education

Abstract

This case study introduces the Escala de Uso de la IA (EUIA; Scale of AI Use), a new framework designed to assess and promote AI literacy. The EUIA scale explicitly links AI usage levels with assessment design and ethical considerations, supporting the development of AI-specific competencies. The framework consists of six levels of interaction for Generative AI (GenAI) in assessment. Each level provides adaptable assignment instructions, design examples, and an overview of the digital skills developed at that stage. The scale was piloted with participants in the ‘CAIE2X Strategies for the Integration of AI in Assessment’ module. Evaluation data indicate that the EUIA scale is an effective tool for understanding the ethical and pedagogical implications of GenAI. This framework offers a structured pathway for educators to integrate AI into curricula while fostering critical AI literacy among learners.

Author Biography

Mari Cruz Garcia Vallejo, Independent Scholar

Mari Cruz García Vallejo (SFHEA, SCMALT, MSc, MEng, ITIL, Cllr) is a senior digital education consultant. She researches and teaches on Generative AI to support learning and teaching in higher education. As a digital education consultant, Mari Cruz has collaborated with several universities in Europe and the UK, including Heriot-Watt University and Dundee Medical School. She currently teaches Generative AI at the Universidad de Las Palmas de Gran Canaria (Spain). One of her modules was selected by the AI Pedagogy project of MetaLab(at)Harvard as an exemplar of innovative use of AI in assessment (https://aipedagogy.org/authors/mari-cruz-garcia-vallejo/). Mari Cruz blogs on Substack: @maricruzgarciavallejo.

References

Acar, O. A. (2023, June 15). Are your students ready for AI? A 4-step framework to prepare learners for a ChatGPT world. Harvard Business Publishing Education. https://hbsp.harvard.edu/inspiring-minds/are-your-students-ready-for-ai

Attewell, S. (2024, July 23). HE generative AI literacy definition. National Centre for AI. https://nationalcentreforai.jiscinvolve.org/wp/2024/07/23/he-generative-ai-literacy-definition

Chiu, T. K. F., Ahmad, Z., Ismailov, M., & Sanusi, I. T. (2024). What are artificial intelligence literacy and competency? A comprehensive framework to support them. Computers and Education Open, 6, Article 100171. https://doi.org/10.1016/j.caeo.2024.100171

Corbin, T., Dawson, P., & Liu, D. (2025). Talk is cheap: why structural assessment changes are needed for a time of GenAI. Assessment & Evaluation in Higher Education, 50(7), 1087–1097. https://doi.org/10.1080/02602938.2025.2503964

European Digital Education Hub. (2023). Teachers’ competences (EDEH No. 1). European Union. https://www.ai4t.eu/wp-content/uploads/2023/08/AI-squad-output_briefing-report-1.pdf

García Vallejo, M. C. (2024). Cómo entrenar tu dragón: Developing a module to build up AI literacy of HE lecturers. Journal of Learning Development in Higher Education, 31, 1–15. https://doi.org/10.47408/jldhe.vi31.1278

INTEF. (2024). Guidelines on the use of AI in education. https://intef.es/Noticias/guidelines-on-the-use-of-ai-in-education

International Center for Academic Integrity. (n.d.). Fundamental values of academic integrity. https://academicintegrity.org/aws/ICAI/pt/sp/values

Miao, F., & Cukurova, M. (2024). AI competency framework for teachers. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000391104

Oakley, B., Johnston, M., Chen, K., Jung, E., & Sejnowski, T. (2025). The memory paradox: why our brains need knowledge in an age of AI. SSRN, 1–50. https://doi.org/10.2139/ssrn.5250447

Paradox Learning. (2025). AI literacy framework for educators & learning professionals. https://paradoxlearning.com/wp-content/uploads/2025/03/AI-Literacy-Framework_updated_031325.pdf

Pearson, J. (2021). Assessment of agency or assessment for agency?: A critical realist action research study into the impact of a processfolio assessment within UK HE preparatory courses for international students. Educational Action Research, 29(2), 259–275. https://doi.org/10.1080/09650792.2020.1829496

Perkins, M., Furze, L., Roe, J., & MacVaugh, J. (2024). The Artificial Intelligence Assessment Scale (AIAS): A framework for ethical integration of generative AI in educational assessment. Journal of University Teaching and Learning Practice, 21(6). https://doi.org/10.53761/q3azde36

University of Cambridge. (n.d.). Guidelines on authorship. https://www.cam.ac.uk/research/research-integrity/resources/authorship-guidance

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Published

27-03-2026

How to Cite

Garcia Vallejo, M. C. (2026). The EUIA scale for fostering learners’ AI competencies through assessment. Journal of Learning Development in Higher Education, (39). https://doi.org/10.47408/jldhe.vi39.1664

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Section

Case Studies