Conflict over human learning and machine learning in media arts

Journals

Title：
Conflict over human learning and machine learning in media arts
Author：
Diego Bernaschina
Author Affiliation：
Independent Scholar, Santiago, Chile
Received：Jul.6, 2023
Accepted：Jul.25, 2023
Published：Aug.8, 2023

Abstract

This paper intends to investigate the new preliminary theory for the increased impact of AI in the educational system, deepening the participation of school and university students in the use of media arts works. The main goal is to theorize and analyze the self-learning field at all educational levels, depending on the future situation of the complementary subjects of art education and technological education. It presents a division between AI and ICT in the media arts for each level of the education system, depending on the students of human and non-human learning. It is possible to create a series of parameters of AI and ICT in the media arts for the educational system, both in schools and universities, depending on the capacity of ethical knowledge, desired learning, and educational technologies. By using these advantages and disadvantages, media arts address the positive and negative aspects of human learning. Currently, there not is limited research on the evolution of human learning ability in the upcoming generation, which hinders the formulation of comprehensive discussions regarding the impact of the growing usage of AI in media arts. In conclusion, future exists a greatest concern for the future of school and university students of media arts to favor AI use with generative art.

Keywords

Art education, technology education, artificial intelligence, teaching and learning process.

Doi

https://doi.org/10.58396/te020104

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