高等教育中的人工智能:立陶宛公共传播方面

Lina Šarlauskienė
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引用次数: 0

摘要

教育和高等教育机构可以使用人工智能来提高教学和学习过程的效率或支持学习者。然而,他们也面临着许多与学术诚信和获取所需知识和技能有关的挑战。随着人工智能工具的引入,这种变化尤为明显。因此,在过去的一年里,关于高等教育中使用人工智能的机遇、挑战和问题的学术研究和信息传播有所增加。在立陶宛,没有关于人工智能对高等教育教学方法变化的影响和相关主题的研究。由于人工智能工具的发展极其迅速,用户可以在各种活动中快速使用它们,因此有必要紧急分析问题,并寻找可能的解决方案来解决已经出现的问题。本文旨在研究高等教育中的人工智能问题,并分析立陶宛高等教育中关于人工智能的公共传播。研究结果表明,关于在立陶宛高等教育中使用人工智能的官方和公众沟通不足。既没有关于立陶宛高等教育面临的具体挑战的沟通,也没有立陶宛高等教育机构和其他教育代表的评论,也没有就人工智能的应用向高等教育机构提出建议。因此,高等教育机构或学术人员必须对当前形势进行分析,并独立、快速地做出决策。面对缺乏沟通的现状,在分析了来源并考虑了现有的防止抄袭的经验后,提出了对学术人员在人工智能和防止抄袭方面的比较建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dirbtinis intelektas aukštajame moksle: viešosios komunikacijos Lietuvoje aspektas
Education and higher education institutions can use artificial intelligence to improve the efficiency of teaching and learning processes or support learners. However, they also face many challenges related to academic integrity and acquiring the required knowledge and skills. The changes have been particularly evident with the introduction of artificial intelligence tools. For this reason, the past year has seen an increase in scholarly research and dissemination of information about the opportunities, challenges, and problems of using artificial intelligence in higher education. In Lithuania, there are no studies on the impact of artificial intelligence on changes in teaching and learning methods in higher education and related topics. Since the development of artificial intelligence tools is extremely fast, and users can quickly use them in various activities, it is necessary to urgently analyse the problem and look for possible solutions to the problems that have arisen. The article aims to examine the issue of artificial intelligence in higher education and analyse public communication about AI in higher education in Lithuania. The research results showed that official and public communication about the use of AI in Lithuanian higher education is insufficient. There is neither communication about specific challenges arising for Lithuanian higher education, comments from Lithuanian higher education institutions and other education representatives, nor recommendations to higher education institutions regarding the application of AI provided. As a result, higher education institutions or academic staff have to analyse the current situation and make decisions independently and quickly. In the face of a lack of communication, after analysing the sources and considering the available experience on plagiarism prevention, comparative advice for the academic staff on AI and plagiarism prevention is presented.
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