Personalization of learning using adaptive technologies and augmented reality
Maiia Marienko, Yulia Nosenko, Mariya Shyshkina

TL;DR
This paper explores how adaptive cloud-based technologies and augmented reality can be integrated to personalize learning experiences and support teacher training, emphasizing inclusive education and technological trends.
Contribution
It provides a comprehensive analysis of adaptive and augmented reality technologies, proposing design trends and practical recommendations for their use in personalized learning and teacher education.
Findings
Identification of four types of semantic interaction between AR and adaptive technologies
Adaptive cloud-based systems enhance personalized learning and inclusivity
Recommendations for integrating AR and adaptive systems in teacher training
Abstract
The research is aimed at developing the recommendations for educators on using adaptive technologies and augmented reality in personalized learning implementation. The latest educational technologies related to learning personalization and the adaptation of its content to the individual needs of students and group work are considered. The current state of research is described, the trends of development are determined. Due to a detailed analysis of scientific works, a retrospective of the development of adaptive and, in particular, cloud-oriented systems is shown. The preconditions of their appearance and development, the main scientific ideas that contributed to this are analyzed. The analysis showed that the scientists point to four possible types of semantic interaction of augmented reality and adaptive technologies. The adaptive cloud-based educational systems design is considered…
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Taxonomy
TopicsEngineering Education and Technology · Innovative Educational Technologies · Artificial Intelligence in Education
