Design and Implementation of Personalized Learning Paths in Media Courses via AIGC Based Industry Education Integration

DOI: https://doi.org/10.62517/jhet.202615205

Author(s)

Yueshan Wang

Affiliation(s)

School of Culture and Media, Xi’an Eurasia University, Xi’an, Shaanxi, China

Abstract

To address the current situation where there are significant differences between the basis of media majors offered by private colleges and the universities, an alternative way of educating other than the typical way involving one single machine has to be found. It is impossible to meet the requirement to teach students according to their aptitude since the nature of the traditional education system makes it impossible. The paper studies the personalized practical learning pathway within the context of the media computing world, which results from the combined efforts of the production of film series and education with participation of generative artificial intelligence. Based on the research findings, once generative artificial intelligence was employed, the fundamental task of audio-visual processing became much simpler, and focus gradually shifted towards combining multichannel material as well as general quality control. Besides, with the aid of a cloud-based collaborative workflow, students with different capabilities could select a developmental path that corresponds to their personality in the same project conditions. Practice has shown that this strategy will reduce the degree of human-computer interaction, strengthen motivation to study, and ensure that students get first-hand experience in the creation of motion pictures and television industry processes. Such a solution may help overcome the problem arising during the establishment of private colleges and universities, as it enhances the employment competitiveness of the students considerably, as well as provides solid results regarding enrolment and professional branding. Furthermore, the paper discusses a framework for developing a better model of media talent growth and integrating the industry-education collaboration in the field of smart media.

Keywords

Personalized Learning; Generative Artificial Intelligence; Man-Machine Co-Creation Ecology; Multimodal Interaction; Integration of Production and Education; Creator Experience

References

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