Assessment of Metaverse-Based Digital Learning Systems in Higher Education

In recent years people have felt the importance of technology-driven infrastructure in many areas including higher education. Teachers' researchers and students have felt a very strong need for advanced technology-driven platforms in higher education scenarios. The main focus of this study is on how successful metaverse-driven learning systems are. This study looks at the influencing factors of metaverse technology-based digital learning platforms in higher education institutions. To properly examine the various driving factors of Metaverse-based digital learning platforms used by various higher education institutions, several important aspects of these systems were gleaned from the available literature, and several noteworthy articles were chosen from the literature. Several influencing factors of metaverse-based learning systems are identified and ranked using the analytical hierarchy process (AHP) according to important variables and their auxiliary elements. Pythagorean Fuzzy-Delphi was used to address the option's ambiguity. A threshold value of 0.6 was applied and various capabilities were recognized and accepted based on the
$\mathrm{d}_{\mathrm{f}}\ (\alpha)$
value. The difference matrix, interval multiplicative matrix, determinacy value matrix, and normalized priority weight were created using the Pythagorean Fuzzy-Delphi method. Capability's priority rating was established as Push > Mooring > Pull based on Normalized Weights of 0.271, 0.402 and 0.327 respectively. Further various sub-criteria were ranked based on their global ranks obtained from their Pythagorean fuzzy weights and de-fuzzified values. The study's findings showed why metaverse-based systems in different higher education institutions are successfully used to create digital learning systems.