Experiences Exploring Data Science in Education 4.0 - Overcoming Challenges, Unveiling Technologies, and Maximizing Tools for Elevated Learning Experiences | Chapter 6 | Contemporary Perspective on Science, Technology and Research Vol. 2

The phase is disuses on the fourth industrial innovation, characterized by the convergence of mathematical technologies and data-compelled approaches, has transformed education, bestowing rise to Education 4.0. Dossier Science plays a pivotal part in this example shift by harnessing technologies, giving challenges, and deploying tools to enhance education experiences. This Book Chapter Unveils the Active World of Data Learning in Education 4.0: A Comprehensive Survey of Technologies, Challenges, and Tools accompanying the Main Objective of Understanding and Navigating this Transformative Stage.. Technologies in Education 4.0 surround Big Data Reasoning, Machine Learning, Data Imagination, Predictive Analytics, Blockchain, IoT, and EdTech Floors, each contributing uniquely to instructional improvement. The role of each science is dissected, highlighting their meaning in personalized learning, legislative efficiency, and academic performance forecast.Challenges in the realm of Data Wisdom in Education are multifaceted, containing data privacy and safety, data integration, righteous concerns, teacher training, and ability constraints. An examination of these challenges offers a deeper understanding of the complicatedness faced by educational organizations in adopting data-driven approaches while guaranteeing ethical and secure practices. The landscape of finishes available to educators and administrators for leveraging data skill is diverse. Learning Science of logical analysis Platforms, Dossier Visualization Tools, Machine intelligence Frameworks, Predictive Science of logical analysis Software, IoT Devices, and Blockchain Planks offer a rich array of options.

Author(s) Details:

Shrawan Kumar Sharma,
Department of Computer Science and Engineering, Mandsaur University, Mandsaur, M.P., India.

Prashant Sharma,
Department of Computer Science and Engineering, Mandsaur University, Mandsaur, M.P., India.

Priyanka Khabiya,
Department of Computer Science and Engineering, Mandsaur University, Mandsaur, M.P., India.

Please see the link here: https://stm.bookpi.org/CPSTR-V2/article/view/12863