Artificial Intelligence (AI) in Education has been said to have the potential for building more personalised curricula, as well as democratising education worldwide and creating a Renaissance of new ways of teaching and learning. Millions of students are already starting to benefit from the use of these technologies, but millions more around the world are not. If this trend continues, the first delivery of AI in Education could be greater educational inequality, along with a global misallocation of educational resources motivated by the current technological determinism narrative. In this paper, we focus on speculating and posing questions around the future of AI in Education, with the aim of starting the pressing conversation that would set the right foundations for the new generation of education that is permeated by technology. This paper starts by synthesising how AI might change how we learn and teach, focusing specifically on the case of personalised learning companions, and then move to discuss some socio-technical features that will be crucial for avoiding the perils of these AI systems worldwide (and perhaps ensuring their success). This paper also discusses the potential of using AI together with free, participatory and democratic resources, such as Wikipedia, Open Educational Resources and open-source tools. We also emphasise the need for collectively designing human-centered, transparent, interactive and collaborative AI-based algorithms that empower and give complete agency to stakeholders, as well as support new emerging pedagogies. Finally, we ask what would it take for this educational revolution to provide egalitarian and empowering access to education, beyond any political, cultural, language, geographical and learning ability barriers.
翻译:教育领域人工智能(AI)据说有可能建立更个性化的课程,使教育民主化,并在全世界创造新的教学和学习方式。 数百万学生已经开始从使用这些技术中受益,但全世界仍有数百万人没有受益。 如果这一趋势继续下去,教育领域人工智能的首次提供可能会是更大的教育不平等,以及目前技术确定论描述所激发的全球教育资源分配不当。在本文中,我们侧重于围绕教育领域人工智能的未来进行猜测和提出问题,目的是启动紧迫的对话,为技术渗透的新一代教育奠定正确的基础。本文首先综合了AI如何改变我们学习和教学的方式,具体侧重于个性化学习同伴的情况,然后讨论一些社会技术特征,这些特征对于避免世界各地这些人工智能系统的危险至关重要(或许可以确保它们的成功 )。本文还探讨了与免费、参与性和民主资源一起使用人工智能的潜力,例如维基百科、开放式教育资源、开放性教育资源、开放性学习工具等。我们还强调了将免费、参与性和民主资源一起使用人工智能和透明性语言,作为教育工具来设计,作为集体性学习工具。