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Abstract
The purpose of this chapter is to explore how COVID-19 has widened the achievement gap between students
of different socioeconomic statuses. The chapter will demonstrate that students from lower socioeconomic
classes received lower-quality education than students from higher socioeconomic situations who in some
instances received an even better education than they had pre-pandemic face-to-face learning. These
widening achievement gaps along with chronic absenteeism and lower student motivation are some of the
biggest problems that the pandemic has brought to online education. This chapter goes on to explore how
to remedy some of these problems. By fixing these issues, online learning and even education as a whole
can emerge stronger than it was before the disruption of COVID-19.
Abstract
Covid-19 Pandemic has created a consolidation of the education and the technology sector, which has led
to the transition into online learning. Within the last two years, teachers and students were able to
observe the short-term benefits and detriments of distanced-online education. Categorizing the effects
of this new normal for student’ education can be looked at through four primary lenses; personal,
social, educational, and technological. Wherever we criticize online education, there are myriad
advantages, from convenience and flexibility to cost. However, within the ephemeral struggles of this
rapid transition, student bodies and faculty members started raising doubts about its major efficiency,
self-regulation skills, and mental health setbacks. Even after we aggregate the potential benefits of
online education, we need to consider its human aspect. With the correct and reliable allocation of
resources combined with advancements from artificial intelligence and state-of-the-art automation, we
will manage to pave the way for perfect hybrid education.
Abstract
Artificial intelligence (AI) technologies have been implemented successfully in many industries, from
virtual hospital assistants to algorithm-based warehouse processing. And now that Covid-19 has forced
students and teachers to transition to online or hybrid learning, these technologies could offer new and
exciting possibilities for education as well. By incorporating AI and machine learning tools into online
classrooms, educators can address many of the challenges that have emerged with the recent loss of
face-to-face instruction, including the struggle for students to self-regulate their learning, the
burden of curriculum planning and administrative work for teachers, and the loss of personalized
interaction between students and teachers. This chapter will explore some of the AI technologies that
have been used in educational contexts and describe applications of AI in other industries that could be
adapted to create more personalized, flexible, inclusive, and engaging learning experiences. If the
future of education is going to include online learning as a substantial component, then AI could be the
key to maintaining high levels of motivation and engagement from students and teachers alike.
Abstract
The neologism of artificial intelligence and machine learning brought a myriad of conveniences and
advantages into the education sector. These new and improved technologies have the potential to be the
remedies to the predicaments that have emerged from the rapid transition into online learning and the
problems that have existed with traditional learning. These predicaments vary from personalized learning
experiences, administrative busy works, to increased overall student interaction. This article explores
how artificial intelligence became the new normal in education and the recently revealed benefits of
artificial intelligence and machine learning in developing automated solutions to these predicaments
such as Intelligent Tutoring Systems (ITS), dynamic schedules, automated grading, and increased
personalized student interaction through chat-bots. Along with these solutions, some of the economical
advancements that these technologies will bring include new research and investments in AI development,
data collection and understanding, and increased jobs. These advancements are on a massive scale and
will need to be addressed. By accommodating our resources into the advancements in this area we can make
our education more versatile, engaging, and inclusive.
Abstract
Artificial intelligence and machine learning have the potential to address many of
the problems that have emerged in higher education due the rapid and haphazard
transition to online learning brought about by the coronavirus pandemic. These
problems include students’ struggle to self-regulate their learning, the increase
in curriculum planning and administrative workload for teachers, and the loss of
personalized interaction between students and teachers. This chapter explores how
artificial intelligence can be used to help students and teachers to adapt to the new
realities of online learning, and how these technologies could further transform
higher education in the future. By providing more personalized, flexible, inclusive,
and engaging learning experiences, artificial intelligence has the potential to
re-invigorate students and teachers both and to make virtual classrooms more
meaningful and productive.
This is the presentation we gave on the 5th London International Conference
This is the presentation I gave on the 4th London International Conference
This is the presentation I gave on the 3th London International Conference