An Analysis of Patent Grants Between the Years 2015 and 2023 in Conjunction With Academic Publications to Obtain Complementary Information and Build Educator Confidence in Web3 Integration

Abstract

The advent of the metaverse has sparked global interest, particularly in their potential to revolutionize various sectors, including education. This study examines the readiness of educational institutions for the transition from Web2 to Web3, focusing on the decentralized nature of the latter. It highlights the importance of analyzing both patents and academic papers to grasp the nuances of technological advancements and their implications for education. Employing a machine learning technique known as class-based TF-IDF (c-TF-IDF), the research analyzes 3317 patent grants and 4694 academic papers from 2015 to 2023. The findings reveal key technology specifications relevant to education in the Web3 era. The study adopts a four-layered approach to discuss these specifications, encompassing adaptive learning, innovative teaching methods, comprehensive evaluation, and a blend of scientific management with personalized service. The insights gained are synthesized into a proposed framework for Web3-enabled education, setting the stage for further exploration and discussion in this burgeoning field. This condensed overview serves to inform stakeholders in the education sector about the current landscape and future directions of Web3 technologies and their educational applications.