"Exploring the impact of artificial intelligence on teaching and learning in higher education"

by Popenici, Stefan A D; Kerr, Sharon (2017)

Abstract

This paper explores the phenomena of the emergence of the use of artificial intelligence in teaching and learning in higher education. It investigates educational implications of emerging technologies on the way students learn and how institutions teach and evolve. Recent technological advancements and the increasing speed of adopting new technologies in higher education are explored in order to predict the future nature of higher education in a world where artificial intelligence is part of the fabric of our universities. We pinpoint some challenges for institutions of higher education and student learning in the adoption of these technologies for teaching, learning, student support, and administration and explore further directions for research.

Key Passage

This wave of interest and investments in artificial intelligence will soon impact on universities. Most likely, financial pressures related to the large numbers of students currently undertaking higher education driven by the goal of democratization of higher education, and the international student market will stand as a compelling reason to seek out AI solutions. The ‘outsourcing’ of the academic workforce, in terms of numbers of academics employed and tenured positions, is now open to a massive takeover by intelligent machines. (p.7)

Keywords

Artificial Intelligence, Higher Education, Machine Learning, Teacherbots, Teaching

Themes

AI and Education

Links to Reference

• http://dx.doi.org/10.1186/s41039-017-0062-8
• https://www.ncbi.nlm.nih.gov/pubmed/30595727
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294271
• https://link.springer.com/article/10.1186/s41039-017-0062-8

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