Satu-Maarit Korte , William Man-Yin Cheung , Mari Maasilta , Siu-Cheung Kong , Pigga Keskitalo , Lixun Wang , Chaak Ming Lau , John Chi Kin Lee , Michelle Mingyue Gu
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引用次数: 0
Abstract
This article presents the results of a study conducted in collaboration with two universities – one in Lapland (Finland) and the other in Hong Kong (China) – during the development of an international university course on global media education. The objective of the study was to examine international students’ changing conceptual understanding of artificial intelligence (AI) literacy as part of the course. The need for this study arose from the recent rapid spread of AI across industries, which has connected human learning to machine learning. This requires competence in AI to contribute to future society. Five hours of online lectures on AI literacy were delivered during two workshops to students (N = 29) from 13 countries with no or limited prior knowledge of the subject in 2021 and 2022. The participants filled out pre- and post-workshop quantitative questionnaires and wrote diaries about their learning process, the development of their understanding of AI-literacy concepts, and their thoughts on the pedagogical approaches used. The quantitative data were analysed using a paired-samples t-test, while the qualitative data were examined using thematic-content analysis. The findings show that the students’ knowledge of AI and their awareness of the importance of AI literacy and media education increased significantly. Further research is needed so that a more appropriate curriculum can be designed for them. We outline some key activities that offer interactive and participatory ways to learn AI in order to assist educators in planning and delivering AI-literacy courses as part of cross-cultural media education.
本文介绍了与两所大学(一所位于芬兰拉普兰,另一所位于中国香港)合作开发全球媒体教育国际大学课程的研究成果。研究的目的是在课程中考察留学生对人工智能(AI)素养概念理解的变化。这项研究的必要性源于最近人工智能在各行各业的迅速普及,它将人类学习与机器学习联系在了一起。这就要求具备人工智能方面的能力,以便为未来社会做出贡献。在2021年和2022年的两次研讨会上,我们为来自13个国家、对人工智能知识一无所知或了解有限的学生(人数=29人)提供了5个小时的人工智能扫盲在线讲座。学员们填写了研讨会前和研讨会后的定量问卷,并撰写了日记,记录了他们的学习过程、对人工智能扫盲概念的理解发展以及对所使用的教学方法的看法。定量数据采用配对样本 t 检验法进行分析,定性数据则采用主题内容分析法进行研究。研究结果表明,学生们对人工智能的了解以及对人工智能扫盲和媒体教育重要性的认识有了显著提高。我们需要进一步研究,以便为他们设计更合适的课程。我们概述了一些关键活动,这些活动提供了学习人工智能的互动和参与方式,以帮助教育工作者规划和提供人工智能扫盲课程,作为跨文化媒体教育的一部分。