Opposing Statement: AI might struggle to accurately predict market demands and adapt the curriculum effectively.
Evidence:
DiMaggio, P., & Powell, W. W. (1983). The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields. American Sociological Review, 48(2), 147-160.
This article argues that educational institutions are subject to isomorphism, meaning they tend to adopt similar structures and practices due to social, cultural, and organizational pressures. This phenomenon limits their ability to respond adequately to market demands. AI, although capable of analyzing data and trends, may still find it challenging to accurately predict market demands in the field of education. This is because the education system consists of complex interactions between various stakeholders such as teachers, students, parents, government officials, and external organizations. Market demands can be influenced by factors beyond economic considerations, including social and political dynamics. Therefore, the ability of AI to adapt the curriculum effectively based solely on market demands may be limited.
Note: Harvard referencing style requires the use of in-text citations, which is not possible in this format.
AI can Adapt the curriculum to meet market demands of education in regard to altering not only how subjects are taught but what is taught.
Provide an opposing statement from the information above and use citations havard referencing style as evidence to support the opposing statement
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