释放 gen-AI 的力量,促进数字教育发展

Richard McInnes, Mark Carandang, Ajay Kulkarni
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摘要

生成式人工智能(gen-AI)正在改变教学。以 Midjourney 和 ChatGPT 等工具为形式的创人工智能为教育领域的人类和非人类参与者之间的新型伙伴关系提供了机会。以前的技术,如增强现实和虚拟现实,因其成本高、复杂性强、实施过程要求高而遇到障碍,而 Gen-AI 则不同,它具有成本低、可访问性强、易于采用等特点,有可能更广泛地重塑数字教学法。在高等教育领域,对人工智能技术的最初关注主要来自于学生在评估中使用人工智能文本生成器(Rudolph 等人,2023 年)。然而,在课程设计和开发方面,人工智能与人类的合作有可能产生超越个人创造力、原创性和效率的成果(Halaweh,2023 年)。我们已经有了关于人类参与者在设计和开发课程时如何合作以创造卓越学生体验的研究基础(Chen & Carliner, 2020),但如果再加上非人类参与者,会有什么可能呢?人类与人工智能的合作将以何种方式增强我们设计和开发课程与项目的现有方式?围绕使用基因人工智能进行课程设计和开发的新兴案例研究揭示了这些合作关系的可能性和风险(Airey et al.)但在实际应用中,可能会产生什么结果呢? 本海报展示将以数字教育学为主题,分享基因人工智能如何在数字教育发展中发挥威力的实例。作为第三空间专业人员,我们与学术人员合作,为全球受众快速开发微型证书。在这项工作中,我们将基因人工智能作为非人类合作伙伴,帮助我们提高工作效率,提升课程质量。本海报展示将分享一些创新实践案例,说明数字教育开发人员如何利用基于文本、图像和编码的人工智能来创建交互式学习内容和增强视觉效果等人工制品,以支持学习。这些实例展示了如何利用人与非人之间的合作关系,最大限度地提高人的 "附加值",同时在实施数字教学法的过程中提高时间和资源效率。这些实例将作为数字海报的一部分进行解读,以展示与 gen-AI 合作创建这些实例的 "幕后 "过程。最后,本海报将分享可在不同环境中重复使用的可持续提示的开发过程,从而进一步利用 gen-AI 的能力。 由于基因人工智能最近在教学中的兴起,像本海报这样的案例研究对于揭示我们如何将基因人工智能融入教学至关重要,它提供了教学决策的透明度,使其具有可复制性,并向批判性的学术讨论开放。因此,本次海报展示的目的是探讨如何以一种为会议代表提供实际案例的方式实施 gen-AI,供他们参与和讨论。
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Unleashing the power of gen-AI for digital education development
Teaching and learning is being transformed by Generative Artificial Intelligence (gen-AI). Gen-AI in the form of tools such as Midjourney and ChatGPT provide opportunities for novel partnerships between human and non-human actors in the field of education. Unlike previous technologies such as augmented and virtual reality, which encountered barriers due to their high costs, complexity, and demanding implementation processes, gen-AI has the potential to more broadly reshape digital pedagogy with its low cost, accessibility, and ease of adoption. In Higher Education, the initial attention on gen-AI was driven by a focus on students utilising AI-text generators in assessments (Rudolph et al., 2023). Yet, for course design and development gen-AI-human partnerships have the potential to yield results that surpass the creativity, originality, and efficiency of individual efforts (Halaweh, 2023). We already have a research base about how human actors collaborate when designing and developing courses to create exceptional student experiences (Chen & Carliner, 2020), but what is possible with the addition of non-human actors? In what way will human-AI partnerships enhance the existing ways that we design and develop courses and programs? Emerging case studies around the use of gen-AI for course design and development shed light on the possibilities as well as the risks involved in these partnerships (Airey et al., 2023). But when this is implemented in practice, what are the possible outcomes? Focusing on the theme of Digital Pedagogy this poster presentation will share examples of how the power of gen-AI has been unleashed for digital education development. Within our context as third-space professionals, we work with academic staff to rapidly develop micro-credentials for a global audience. In this work, we have integrated gen-AI as a non-human partner to help us generate efficiencies in our work and enhance the quality of the courses we output. This poster presentation will share innovative practical examples of how digital educational developers have utilised the affordances of text-based, image-based, and coding-based gen-AI to create artefacts such as interactive learning content and enhanced visuals to support learning. These examples demonstrate how human-non-human partnerships can be leveraged to maximise the human ‘value add’ while gaining time and resource efficiencies in the implementation of digital pedagogies. The examples are unpacked as part of the digital poster to show the ‘behind the scenes’ of how they were created in partnership with gen-AI. Finally, this poster will share the development of sustainable prompts that can be reused in different contexts, thereby further capitalising on the affordances of gen-AI. Due to the recent emergence of gen-AI in teaching and learning, case studies such as this one, are crucial in revealing how we incorporate gen-AI, providing transparency in pedagogical decisions, making them replicable, and open to critical scholarly discussion. As such, the aim of this poster presentation is to explore how gen-AI has been implemented in a way that provides conference delegates with practical examples to engage with and discuss.
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