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Artificial Intelligence to Enhance Learning Design in UOW Online, a Unified Approach to Fully Online Learning

机译:人工智能提高uow在线学习设计,一个统一的在线学习方法

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The current article presents a framework for the design and support of UOW Online, an entirely new unified university strategy for fully online learning. To aid teachers in the learning design process, we aim to create more awareness for teachers by determining the underlying learning design of their subject. To ensure the approach can be scaled up to cater for potentially hundreds of subjects, the manual labeling serves as input for an Artificial Intelligence (AI) algorithm that will train a model to label intended learning activities automatically. In addition to student demographics and behavior, the learning design and subject content will be used to augment an AI model that predicts future student outcomes. Future work focuses on the collection of necessary learning activities and manual encoding of these learning activities.
机译:本文提出了一种框架,为uow在线设计和支持,一个完全在线学习的新统一大学战略。为了帮助教师在学习设计过程中,我们旨在通过确定其主题的潜在学习设计为教师创造更多的认识。为了确保方法可以扩展到潜在数百个科目的束缚,手动标签用作人工智能(AI)算法的输入,该算法将培训模型自动标记预期的学习活动。除了学生人口统计和行为之外,学习设计和主题内容将用于增强预测未来学生结果的AI模型。未来的工作侧重于收集必要的学习活动和手动编码这些学习活动。

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