Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing

Technology Inspired-Elaborative Education Model (TI-EEM): A futuristic need for a Sustainable Education Ecosystem

Author(s): Anil Verma, Aman Singh*, Divya Anand and Rishika Vij

Pp: 167-182 (16)

DOI: 10.2174/9789815079210123010014

* (Excluding Mailing and Handling)


Before three decades, providing higher education infrastructure for young aspirants in their locality was a challenge for India. With 5164 higher education institutions, including universities, colleges, and stand-alone institutions, India has surpassed the United States as the global leader in educational infrastructure over the last two decades. This work intends to propose an elaborative education ecosystem for sustainable quality education. The secondary data from top global ranking agencies (Times, QS, Webometric, Scimago, and Shanghai Ranking) is deployed to avoid the cost of a worldwide survey for primary data and the execution time. Quality education's quantitative and qualitative parameters are reviewed separately on different scales. The need for the proposed model is evaluated on academic reputation, employer reputation, faculty-student ratio, citations per faculty, international faculty, international students, and infrastructure on the 7-point quality scale. The proposed elaborative model will establish a robust quality education ecosystem on global parameters. The proposed model emphasizes the use of emerging technologies including the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain (BC), in the education industry. 

Keywords: Education Ecosystem, Higher Education, Quality Education, Technology-Enabled Infrastructure.

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