Pedagogically algorithmized formative feedback in higher education: a self-regulated learning perspective

UDC 378-042.4:004
DOI 10.20339/AM.03-26.041

Polina A. Eliseeva, Teaching assistant at the School of Advanced Studies (SAS), Tyumen State University; Master’s student in the programme “Applied Pedagogy of Higher Education”, Tyumen State University, e-mail: p.eliseeva@utmn.ru, https://orcid.org/0009-0002-7362-7536.

Contemporary higher education is undergoing digital transformation, and the formal consolidation of artificial intelligence (AI) development in Russia has increased attention to algorithmized formats of student support. At the same time, research emphasizes that a key condition for successful learning under massification and online formats is the development of students’ self-regulated learning (SRL) skills, that is, the ability to independently set goals, plan, monitor and evaluate their own learning activities. In assessment theory, a central place is occupied by the notion of formative feedback (FF), which is considered as a mechanism for unfolding SRL and shifting the focus from external to internal evaluation. The aim of the study is to analyze human and algorithmic FOS in higher education within the framework of SRL and the models, levels and temporal dimensions of FF. Based on an analysis of Russian and international studies, the article substantiates the difference between the strategic nature of human FF and the predominantly tactical nature of algorithmized FF. The article proposes using the concept of pedagogically algorithmized FOS as a well-thought-out symbiosis of humans and AI for the formation of FOS. The consequences of this approach for course design and assessment policy at the university level are outlined, as well as directions for further empirical research.

Keywords: self-regulated learning, formative feedback, formative assessment, artificial intelligence in higher education, digital transformation of education, theoretical analysis

The study was conducted with the support of the Ministry of Science and Higher Education of the Russian Federation under agreement No. 075-03-2025-662/13 (dated October 29, 2025) related to project FSMG-2025-0086 “Applied research on the implementation of artificial intelligence technologies in higher education.”

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