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Pre-Service Teacher Training Transformation in the Context of Digital Educational Environment

Nilufar SHAKAROVASamarkand State University named after Sharof Rashidov, Samarkand, UzbekistanShaxnoza YunuszodaSamarkand State University named after Sharof Rashidov, Samarkand, UzbekistanО. В. ПарахинаImmanuel Kant Baltic Federal University, Kaliningrad, Russia
ARPHA proceedingsjournal2026
ABI

Аннотация

The study examines the innovative model of digital transformation of pre-service teacher training, and outlines the prospects for its further introduction. The pedagogical issues of different approaches to digital transformation of the educational process and designing digital educational environment are tackled and substantiated. The aim of the study is to develop and describe a model for the digital transformation of pre-service teacher training that effectively advances their professional development in digital educational environments. The practical significance of this research is in our attempts to design a digital pre-service teacher training model that incorporates the use of digital educational platforms with artificial intelligence elements, the introduction of a digital mentoring system into pre-service training, and the redesign of the pre-service training process using gamification, game-based, and project-based learning approaches within the STEAM framework. As a result, we aim to develop a new network interaction model called «Digital Education Cluster» that will enhance the quality of pre-service teacher education. The results of the pre-service teacher training model implementation provide a basis for assessing student learning outcomes and identifying areas for improvement. This allows pre-service teachers to design personalized educational paths in the digital environment through close cooperation with employers.Further development of this initiative could involve the creation of a digital platform incorporating artificial intelligence to monitor educational activities and analyse the “digital footprints” of each student. This would allow for more precise assessment of student progress and identification of areas for improvement, leading to more effective teaching and learning experiences.

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