Systems Thinking on Artificial Intelligence Integration into Higher Education: Causal Loops

Yee Zhing Liew; Andrew Huey Ping Tan; Eng Hwa Yap; Chee Shen Lim; Anwar P.P. Abdul Majeed; Yuyi Zhu; Wei Chen; Shu-Hsiang Chen; Ying Tuan Lo

Systems Thinking on Artificial Intelligence Integration into Higher Education: Causal Loops

Yee Zhing Liew, Andrew Huey Ping Tan^*, Eng Hwa Yap, Chee Shen Lim, Anwar P.P. Abdul Majeed, Yuyi Zhu, Wei Chen, Shu-Hsiang Chen, Ying Tuan Lo

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter employs a system dynamics lens to examine the intricate interplay between artificial intelligence (AI) integration and the landscape of higher education. Employing causal loop diagrams, it delves into the evolving dynamics of various key indicators in higher education affected by AI implementation. Beginning with an overview of disruptive technologies’ current roles in academia, including AI, it proceeds to illustrate the interrelationships in the form of feedback loops between technological advancements, pedagogical methodologies, institutional structures, and societal factors. Subsequently, it explores the systemic shifts in student learning experiences, faculty roles, and administrative practices catalysed by AI infusion. By illuminating the complex web of interactions, this chapter aims to provide insights crucial for fostering a harmonious and effective integration of AI within higher education systems.

Original language	English
Title of host publication	Complex Systems With Artificial Intelligence - Sustainability and Self-Constitution
Publisher	intechopen
Publication status	Published - 23 Dec 2024

Cite this

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title = "Systems Thinking on Artificial Intelligence Integration into Higher Education: Causal Loops",

abstract = "This chapter employs a system dynamics lens to examine the intricate interplay between artificial intelligence (AI) integration and the landscape of higher education. Employing causal loop diagrams, it delves into the evolving dynamics of various key indicators in higher education affected by AI implementation. Beginning with an overview of disruptive technologies{\textquoteright} current roles in academia, including AI, it proceeds to illustrate the interrelationships in the form of feedback loops between technological advancements, pedagogical methodologies, institutional structures, and societal factors. Subsequently, it explores the systemic shifts in student learning experiences, faculty roles, and administrative practices catalysed by AI infusion. By illuminating the complex web of interactions, this chapter aims to provide insights crucial for fostering a harmonious and effective integration of AI within higher education systems.",

author = "Liew, {Yee Zhing} and Tan, {Andrew Huey Ping} and Yap, {Eng Hwa} and Lim, {Chee Shen} and {P.P. Abdul Majeed}, Anwar and Yuyi Zhu and Wei Chen and Shu-Hsiang Chen and Lo, {Ying Tuan}",

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AU - Liew, Yee Zhing

AU - Tan, Andrew Huey Ping

AU - Yap, Eng Hwa

AU - Lim, Chee Shen

AU - P.P. Abdul Majeed, Anwar

AU - Zhu, Yuyi

AU - Chen, Wei

AU - Chen, Shu-Hsiang

AU - Lo, Ying Tuan

PY - 2024/12/23

Y1 - 2024/12/23

N2 - This chapter employs a system dynamics lens to examine the intricate interplay between artificial intelligence (AI) integration and the landscape of higher education. Employing causal loop diagrams, it delves into the evolving dynamics of various key indicators in higher education affected by AI implementation. Beginning with an overview of disruptive technologies’ current roles in academia, including AI, it proceeds to illustrate the interrelationships in the form of feedback loops between technological advancements, pedagogical methodologies, institutional structures, and societal factors. Subsequently, it explores the systemic shifts in student learning experiences, faculty roles, and administrative practices catalysed by AI infusion. By illuminating the complex web of interactions, this chapter aims to provide insights crucial for fostering a harmonious and effective integration of AI within higher education systems.

AB - This chapter employs a system dynamics lens to examine the intricate interplay between artificial intelligence (AI) integration and the landscape of higher education. Employing causal loop diagrams, it delves into the evolving dynamics of various key indicators in higher education affected by AI implementation. Beginning with an overview of disruptive technologies’ current roles in academia, including AI, it proceeds to illustrate the interrelationships in the form of feedback loops between technological advancements, pedagogical methodologies, institutional structures, and societal factors. Subsequently, it explores the systemic shifts in student learning experiences, faculty roles, and administrative practices catalysed by AI infusion. By illuminating the complex web of interactions, this chapter aims to provide insights crucial for fostering a harmonious and effective integration of AI within higher education systems.

UR - https://www.intechopen.com/online-first/1195556

M3 - Chapter

BT - Complex Systems With Artificial Intelligence - Sustainability and Self-Constitution

PB - intechopen

ER -

Systems Thinking on Artificial Intelligence Integration into Higher Education: Causal Loops

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