Tatiana Mikhaylova is a Lecturer at the University of Gävle. She holds a PhD from Uppsala University (2022) with a thesis exploring the historical and policy dimensions of private tutoring in Russia across Imperial, Soviet, and post-Soviet eras. Her research focuses on educational policy, shadow education systems, curriculum theory, and the role of quantification and visualization in shaping educational practices. She has conducted comparative studies between Sweden and Russia, examining how supplementary tutoring interacts with formal education systems. Her work analyzes the sociopolitical construction of educational policies, particularly how visual and numerical frameworks (e.g., Bloom’s Taxonomy, standardized testing metrics) influence educational governance and discourse. Key themes include historical pedagogical practices, the interplay between public and private educational sectors, and the ethical implications of AI integration in teacher training programs. Recent publications address topics like AI’s role in teacher professional development, the visualization of educational knowledge structures, and the quantification of reading comprehension benchmarks. She frequently collaborates with researchers such as David Pettersson and Emma Sundström Sjödin on projects examining Nordic educational policy and historical curriculum debates. Mikhaylova’s research has been presented at venues including the Nordic Education Research Association (NERA) conferences and the International Standing Conference for the History of Education (ISCHE). Her work bridges historical analysis with contemporary policy critique, emphasizing the need for critical perspectives on educational metrics and visual representation strategies.






