In today’s digital world, finding new ways to engage students is ever more difficult. When home technologies such as mobile phones, tablets and games consoles are highly advanced, widely available and hugely popular with young children, finding educational engagement with technology in the classroom can be even harder, especially if the technology deployed there is less engaging than that of technology learner use at home.

For a layman, the education sector overtly seems to be a process of imparting knowledge in exchange for tuition fees. But at the backdrop, running a school or any educational institute or running a whole education system is a large business which includes financial decisions, Investments, asset assessment and management. It is not just a big data file of attendance, and achievement records, it includes the things, devices, and apparatuses, to assist the teaching learning process.

As a time-honoured social institution for knowledge transfer and a field of study, education has consistently been swift in adopting technologies from different sectors. Education is undergoing a pilot experiment period of Big Data, mass social media, STEM curriculum and data mining with complaint technologies such as Artificial Intelligence and Machine Learning. Blockchain is plausibly the next technology-mediated mega trend in education after the ongoing era of Big Data.

Using data for making decisions is not new; companies use complex computations on customer data for business intelligence or analytics. Business intelligence techniques can discern historical patterns and trends from data and can create models that predict future trends and patterns. Analytics, broadly defined, comprises applied techniques from computer science, mathematics, and statistics for extracting usable information from very large datasets example web data, company business data, education data.

Artificial Intelligence (AI) has played a large role in this digital transformation that the education sector has witnessed in recent years. Traditionally speaking, education has been slower to adopt emerging technologies in comparison to other industries like banking, healthcare, and entertainment. The use of AI in testing and assessments is still somewhat early in its development and still requires a human element to ensure accuracy and success. However, the long-term benefits of incorporating AI in classroom teaching and assessments are substantial.

The pandemic has necessitated online teaching which has been imposed upon many for whom it is not just unfamiliar but also undesirable. As social distancing and lockdown became chosen public policies to arrest the spread of this COVID-19, traditional modes of education were swapped for the more technology-intensive and nuanced online platforms.

Teaching-learning process is heart of any education system, similarly assessment is heart of any teaching-learning process. In the era of e-learning and e-teaching (online teaching), to compliment these two the obvious next big thing is e-Assessment. The current lockdown on educational institutions due to Covid-19 pandemic has escalated the speed of adaptation to e-education (e-teaching, e-learning and e-assessment).

As the world becomes globalized, there is an increasing number of the students wanting to study abroad. Many countries have encouraged universities to host more international students since it provides economic and cultural benefits to the host country, while also encouraging education diplomacy among nations. However, international students face a multitude of problems as they adapt to unfamiliar cultural environment

With COVID-19 putting much of the world in lockdown at home, most education institutions have had to rapidly shift their programs to online delivery. For student recruiters who are used to recruiting new students at International education fairs, agent roadshows or highschool events, the shift has been just as rapid.