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Structural and Technological Transformation of Education in the Post-Pandemic Period:Problems and Prospects (Lecture Notes in Networks and Systems, 1282)
by: Alexei L. Semenov (Editor), Vadim V. Grinshkun (Editor), Svetlana N. Dvoryatkina (Editor), Vladimir A. Faerman (Editor)
Publisher: Springer
Publication Date: 2025-03-28
Language: English
Print Length: 189 pages
ISBN-10: 3031840380
ISBN-13: 9783031840388
Book Description
Covering both pre-university and university levels, this book addresses the challenges and adaptations in mathematics education during the pandemic. The book "Structural and Technological Transformation of Education in the Post-Pandemic Period" critically examines the changes in STEM education, particularly in mathematics and computer science, prompted by the COVID-19 pandemic. It presents innovative methodologies that incorporate technology into teaching, highlighting the role of ICT in enhancing learning experiences. The focus is on hybrid intelligent systems and data-driven assessment methods that personalize learning and improve educational outcomes. Solutions discussed include the implementation of blended learning models, fostering critical thinking through complex tasks, and using historical contexts to deepen mathematical understanding. This edition serves as a valuable resource for educators, policymakers, and students aspiring to teach in STEM fields, providing insights into the evolving educational landscape.
Editorial Reviews
Covering both pre-university and university levels, this book addresses the challenges and adaptations in mathematics education during the pandemic. The book "Structural and Technological Transformation of Education in the Post-Pandemic Period" critically examines the changes in STEM education, particularly in mathematics and computer science, prompted by the COVID-19 pandemic. It presents innovative methodologies that incorporate technology into teaching, highlighting the role of ICT in enhancing learning experiences. The focus is on hybrid intelligent systems and data-driven assessment methods that personalize learning and improve educational outcomes. Solutions discussed include the implementation of blended learning models, fostering critical thinking through complex tasks, and using historical contexts to deepen mathematical understanding. This edition serves as a valuable resource for educators, policymakers, and students aspiring to teach in STEM fields, providing insights into the evolving educational landscape.
