{"title":"机器人胜过人类?人工智能在电影艺术指导教学中的地位","authors":"Daniel Kofi Brako, Anthony Kobina Mensah","doi":"10.57040/jet.v3i2.484","DOIUrl":null,"url":null,"abstract":"Discourses on artificial intelligence (AI) in the field of art direction have not gained enough attention, although its use is becoming more predominant in the rapidly evolving technologically driven filmmaking world. Largely, AI has taken over various aspects of the filmmaking process from pre-production, and production to postproduction. Apart from its major influence on the role of an art director, the incorporation of AI in filmmaking enhances the functions of producers, screenwriters, directors, cinematographers, editors, sound designers, and animators. This qualitative paper approach rides on a rapid review design based on the selection of scholarly articles drawn from databases such as Google Scholar, Elsevier, IEEEX Xplore, and ACM Digital Library, using artificial intelligence, art direction, and filmmaking as vocabulary for search. It aims to outline the benefits of integration of AI in art direction pedagogy in film education. Also, it highlights the challenges and potential solutions of the integration of AI in art direction pedagogy in film education. The findings of this review show that AI enhances set design and simulates lighting in the creation of film worlds. Also, AI has the ability to create three-dimensional (3D) and realistic complex props rapidly. In addition, AI has the ability to analyze and generate design renderings in costume design and make-up efficiently. Notwithstanding, it brings to the fore that the integration of AI in teaching art direction poses some challenges such as awareness and understanding of tools, as well as ethical implications to data privacy and algorithmic bias. The paper recommends that educational institutions offering film art direction curricula should embrace this technology and equip teachers with the necessary training and support to teach them effectively. Also, the institutions must take measures to control ethical issues and data-driven policies.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":"36 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robots over humans? 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This qualitative paper approach rides on a rapid review design based on the selection of scholarly articles drawn from databases such as Google Scholar, Elsevier, IEEEX Xplore, and ACM Digital Library, using artificial intelligence, art direction, and filmmaking as vocabulary for search. It aims to outline the benefits of integration of AI in art direction pedagogy in film education. Also, it highlights the challenges and potential solutions of the integration of AI in art direction pedagogy in film education. The findings of this review show that AI enhances set design and simulates lighting in the creation of film worlds. Also, AI has the ability to create three-dimensional (3D) and realistic complex props rapidly. In addition, AI has the ability to analyze and generate design renderings in costume design and make-up efficiently. Notwithstanding, it brings to the fore that the integration of AI in teaching art direction poses some challenges such as awareness and understanding of tools, as well as ethical implications to data privacy and algorithmic bias. The paper recommends that educational institutions offering film art direction curricula should embrace this technology and equip teachers with the necessary training and support to teach them effectively. 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Robots over humans? The place of artificial intelligence in the pedagogy of art direction in film education
Discourses on artificial intelligence (AI) in the field of art direction have not gained enough attention, although its use is becoming more predominant in the rapidly evolving technologically driven filmmaking world. Largely, AI has taken over various aspects of the filmmaking process from pre-production, and production to postproduction. Apart from its major influence on the role of an art director, the incorporation of AI in filmmaking enhances the functions of producers, screenwriters, directors, cinematographers, editors, sound designers, and animators. This qualitative paper approach rides on a rapid review design based on the selection of scholarly articles drawn from databases such as Google Scholar, Elsevier, IEEEX Xplore, and ACM Digital Library, using artificial intelligence, art direction, and filmmaking as vocabulary for search. It aims to outline the benefits of integration of AI in art direction pedagogy in film education. Also, it highlights the challenges and potential solutions of the integration of AI in art direction pedagogy in film education. The findings of this review show that AI enhances set design and simulates lighting in the creation of film worlds. Also, AI has the ability to create three-dimensional (3D) and realistic complex props rapidly. In addition, AI has the ability to analyze and generate design renderings in costume design and make-up efficiently. Notwithstanding, it brings to the fore that the integration of AI in teaching art direction poses some challenges such as awareness and understanding of tools, as well as ethical implications to data privacy and algorithmic bias. The paper recommends that educational institutions offering film art direction curricula should embrace this technology and equip teachers with the necessary training and support to teach them effectively. Also, the institutions must take measures to control ethical issues and data-driven policies.
期刊介绍:
This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of technology enhanced learning. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Software / Distributed Systems -Knowledge Management -Semantic Web -MashUp Technologies -Platforms and Content Authoring -New Learning Models and Applications -Pedagogical and Psychological Issues -Trust / Security -Internet Applications -Networked Tools -Mobile / wireless -Electronics -Visualisation -Bio- / Neuroinformatics -Language /Speech -Collaboration Tools / Collaborative Networks