Within higher education, there are enormous untapped opportunities
for product/services companies, administrators, educators,
start-ups. and technology professionals to begin embracing
artificial intelligence (AI) across the student ecosystem and
infuse innovation into traditional academic processes by leveraging
disruptive technologies. This type of human-machine interface
presents the immediate potential to change the way we learn,
memorize, access, and create information. These solutions present
new openings for education for all while fostering lifelong
learning in a strengthened model that can preserve the integrity of
core values and the purpose of higher education. Impact of AI
Technologies on Teaching, Learning, and Research in Higher
Education explores the phenomena of the emergence of the use of AI
in teaching and learning in higher education, including examining
the positive and negative aspects of AI. Recent technological
advancements and the increasing speed of adopting new technologies
in higher education are discussed in order to predict the future
nature of higher education in a world where AI is part of the
fabric of universities. The book also investigates educational
implications of emerging technologies on the way students learn and
how institutions teach and evolve. Finally, challenges for the
adoption of these technologies for teaching, learning, student
support, and administration are addressed. Highlighting such tools
as machine learning, natural language processing, and self-learning
systems, this scholarly book is of interest to university
administrators, educational software developers, instructional
designers, policymakers, government officials, academicians,
researchers, and students, as well as international agencies,
organizations, and professionals interested in implementing AI in
higher education.
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