The Higher Educational Institutions (HEIs) are to be transformed from
paper-based hard copies to E-mode soft copies for data preparation, maintenance, and
submission to any ranking agency. In this context, the digital platform is to be created
for the distribution of information. Apart from that, government, aided, and private
institutions have been facing many issues to transform the knowledge as per the
stakeholder needs in terms of assessment criteria like curricular aspects, teachinglearning,
and evaluation. Artificial intelligence (AI) is a buzzword in the higher
education sector, as it is considered necessary to change the entire world’s face, taking
steps towards digitization. Smartphone usage by the student and teacher community is
rapidly growing in all parts of the world. This research focuses on virtual connectivity
through smart devices for better, effective results to beat the world competition. The
extensive use of the smartphone for the right cause can help us in the right ways, such
as in IPR notifications and preparatory documents for research publications in reputed
journals and conferences, innovations through patent filing, and book publications.
This proposed framework indicates how long and in what way students can equip
themselves with the required skills. The present system recommends the overall
evaluation category as exceptional, good, above average, or below average with
parameters such as intellectual ability, maturity, perseverance, oral and written
communication, analytical ability, imagination and creative ability to work with others,
potential as a researcher, and self-confidence. Many semi-urban, rural, and agency
teachers and students to date struggle due to not having the proper infrastructure or
facilities for their education. Where there is a shortage of amenities such as teaching,
library, and sports, AI technology can be handy. There is a huge amount of data being
generated from different institutions and handling this amount of data using the
RDBMS is very difficult. This is where big data comes into the picture. Big data is one
of the key pillars of global digitization. By using big data, we can improve education
quality and coordination and reduce maintenance costs. Predictive analytics and
statistical tools and techniques can be used to improve student learning course
outcomes.
Keywords: Accreditation, AI, Analytics, Assessment, Big data, Computer,
Decision making, Digitization, E-certificate, E-learning, E-registration,
Employability, Gurukul, HEIs, Internet, Intelligence systems, Machine learning,
Ranking, Social media, Sustainability, Technology.
