Learning objectives and their evaluation in the world of artificial intelligence tools
https://doi.org/10.32517/2221-1993-2026-25-3-25-30
Abstract
Generative artificial intelligence (GenAI) is fundamentally changing the job market and the skills required for AI-era citizens. teachers face an increasing challenge in how to teach, and how to assess educational outcomes, when students can access knowledge easily online and intelligent tools can instantly solve school tests. Educational programs still focus on knowledge impartment, but intelligent tools developed by AI-experts are outperforming students. new standards and programs have been developed, and innovative educators are adjusting their learning goals towards developing skills that AI cannot automate (critical thinking, creativity, empathy, ethics, and the ability to use AI to solve problems fully). this article addresses this issue, providing a procedure to help teachers modernise their learning goals and assessments to prepare students for the world of intelligent tools.
About the Author
A. Yu. UvarovRussian Federation
Alexander Yu. Uvarov, doctor of sciences (Education), professor at the department of Applied Informatics in Education, Institute of mathematics and Informatics
Moscow
References
1. DigComp 3.0 — Joint Research Centre — European Commission. https://joint-research-centre.ec.europa.eu/projects-and-activities/education-and-trainig/digital-transformation-education/digital-competence-framework-digcomp/digcomp-30_en
2. Lubbe A., Marais E., Kruger D. Cultivating independent thinkers: The triad of artificial intelligence, Bloom’s taxonomy and critical thinking in assessment pedagogy // Education and Information Technologies. 2025. Vol. 30. P. 17589–17622. DOI: 10.1007/s10639-025-13476-x,
3. Oregon State Ecampus. Advancing Meaningful Learning in the Age of AI (2025). https://ecampus.oregonstate.edu/news/advancing-meaningful-learning-in-the-age-of-ai/
4. UNESCO. AI and the Futures of Education. Futures Dialogues. 2025. https://www.unesco.org/en/articles/ai-and-futures-education
5. UNESCO AI competency framework for teachers // UNESСO. 2024. https://www.unesco.org/en/articles/ai-compe-tency-framework-teachers
6. Weipeng Yang. Reefing educational objectives in the age of artificial intelligence: The SCALE taxonomy // TAO. 2025. Vol. 1. Is. 2. Art. 100018. DOI: 10.1016/j.tao.2025.100018.
7. World Economic Forum. Future of Jobs Report 2025. https://www.weforum.org/publications/the-future-of-jobs-report-2025/
8. World Economic Forum. How education can transform disruptive AI advances intoworkforceopportunities. 2025. https://www.weforum.org/stories/2025/10/education-disruptive-ai-workforce-opportunities/?gad_source=1&gad_campaignid=22234048793&gbraid=0AAAAAoVy5FzI0ud_eueTtn7cnrxwMWn3&gclid=CjwKCAiAwNDMBhBfEiwAd7ti1DEqSi0wfbwvnHX-mQGt1TQnB6YJT5EoCZDqLcOHIO4RAjQhJzu1hoCdVIQAvD_BwE
9. Baule S. Balancing Bloom, assessment, and AI // eSchool News. May 27, 2024. https://www.eschoolnews.com/digital-learning/2024/05/27/balancing-bloom-assessment-and-ai/
10. Clark L. A. Reframing Bloom’s for the age of AI: A white paper for future-ready educators. August 22, 2025 // Anthology Inc. https://backstage.anthology.com/sites/default/files/2025-09/ReframingBloomsForTheAgeOfAI_WhitePaper_v1.pdf
11. O’Connell J., Baule S. Harnessing generative AI to revolutionize educator growth. Winona State University, January 17, 2025. https://www.eschoolnews.com/digital-learning/2025/01/17/generative-ai-teacher-professional-development/
12. UNESCO. Guidance for Generative AI in Education and Research. 2024.
13. Zaphir L., Hansen D. The trouble with Bloom’s taxonomy in an age of AI // Times Higher Education. 19.04.2024. https://www.timeshighereducation.com/campus/trouble-blooms-taxonomy-age-ai
Review
For citations:
Uvarov A.Yu. Learning objectives and their evaluation in the world of artificial intelligence tools. Informatics in school. 2026;(3):25-30. (In Russ.) https://doi.org/10.32517/2221-1993-2026-25-3-25-30
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