AI Paradigms for Teaching Biotechnology

Wilson Wen Bin Goh; Chun Chau Sze

doi:10.1016/j.tibtech.2018.09.009

AI Paradigms for Teaching Biotechnology

Wilson Wen Bin Goh^*, Chun Chau Sze

^*Corresponding author for this work

Nanyang Technological University

Research output: Contribution to journal › Comment/debate › peer-review

18 Citations (Scopus)

Abstract

Artificial intelligence (AI) is profoundly changing biotechnological innovation. Beyond direct application, it is also a useful tool for adaptive learning and forging new conceptual connections within the vast network of knowledge for the advancement of biotechnology. Here, we discuss a new paradigm for biotechnology education that involves coevolution with AI.

Original language	English
Pages (from-to)	1-5
Number of pages	5
Journal	Trends in Biotechnology
Volume	37
Issue number	1
DOIs	https://doi.org/10.1016/j.tibtech.2018.09.009
Publication status	Published - Jan 2019
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2018 Elsevier Ltd

ASJC Scopus Subject Areas

Biotechnology
Bioengineering

Keywords

artificial intelligence
education
experiential learning
student-as-partner

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10.1016/j.tibtech.2018.09.009

Cite this

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AI Paradigms for Teaching Biotechnology

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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