社会人口因素对学生对人工智能视频内容创作态度的影响

IF 6.7 Q1 EDUCATION & EDUCATIONAL RESEARCH
Nikolaos Pellas
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引用次数: 1

摘要

人工智能(AI)和机器学习(ML)技术提供了支持数字内容创作和媒体制作的潜力,为来自不同社会人口背景的个人提供了参与创造性活动并增强其多媒体视频内容的机会。然而,最近的研究却很少关注人工智能生成的视频创作与大学生社会人口变量之间可能存在的关系。本研究旨在通过研究人工智能生成的视频内容对数字媒体领域的包容性、公平性和代表性的影响,研究人工智能生成的视频内容与社会人口统计学之间的多方面关系。对398名本科生(n = 398)进行了一项关于在视频内容创作中使用人工智能的实证研究。参与者自愿参加,任务是构思和制作他们的人工智能生成的视频内容。所有使用的工具被合并成一个基于网络的自我报告问卷,通过电子邮件发送给所有参与者。主要研究结果表明,学生在融入人工智能支持的学习任务方面表现出良好的倾向。在学生中形成这种良好态度的因素包括他们的年龄,他们使用设备的数量,他们致力于利用技术资源的时间,以及他们的经验水平。然而,学生对人工智能培训课程的参与直接影响了学生对机器学习的态度,以及他们对这些技术可靠性的满意程度。这项研究有助于更全面地理解人工智能在视频内容创作中的变革力量,并强调了考虑教学环境和政策的重要性,以确保为来自不同社会人口背景的学生提供公平公正的数字媒体平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The influence of sociodemographic factors on students' attitudes toward AI-generated video content creation
Abstract Artificial Intelligence (AI) and Machine Learning (ML) technologies offer the potential to support digital content creation and media production, providing opportunities for individuals from diverse sociodemographic backgrounds to engage in creative activities and enhance their multimedia video content. However, less attention has been paid to recent research exploring any possible relationships between AI-generated video creation and the sociodemographic variables of undergraduate students. This study aims to investigate the multifaceted relationship between AI-generated video content and sociodemographics by examining its implications for inclusivity, equity, and representation in the digital media landscape. An empirical study about the use of AI in video content creation was conducted with a diverse cohort of three hundred ninety-eighth undergraduate ( n = 398) students. Participants voluntarily took part and were tasked with conceiving and crafting their AI-generated video content. All instruments used were combined into a single web-based self-report questionnaire that was delivered to all participants via email. Key research findings demonstrate that students have a favorable disposition when it comes to incorporating AI-supported learning tasks. The factors fostering this favorable attitude among students include their age, the number of devices they use, the time they dedicate to utilizing technological resources, and their level of experience. Nevertheless, it is the student’s participation in AI training courses that exerts a direct impact on students’ ML attitudes, along with their level of contentment with the reliability of these technologies. This study contributes to a more comprehensive understanding of the transformative power of AI in video content creation and underscores the importance of considering instructional contexts and policies to ensure a fair and equitable digital media platform for students from diverse sociodemographic backgrounds.
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来源期刊
Smart Learning Environments
Smart Learning Environments Social Sciences-Education
CiteScore
13.20
自引率
2.10%
发文量
29
审稿时长
19 weeks
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