论文标题
MUIR框架：交联的MOOC资源以增强讨论论坛
The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums
论文作者
论文摘要
每周都会在大规模的在线课程中创建和铸造新的学习资源 - 在按需在线学习的时代，将部署和与之互动的新视频，测验，评估和讨论线程。但是，这些资源通常在平台和人工Web应用程序模型之间人为地孤立。促进这种资源之间的联系有助于学习和多模式的理解，从而提高学习者的经验。 我们为MOOC统一标识符（MUIR）创建一个框架。 Muir使应用程序能够以跨平台的方式引用并链接到此类资源，从而使标识符轻松地铸造为MOOC资源，类似于#HashTags。我们证明了这种自动识别方法，链接和解决方案的可行性 - 一种称为Wikification的任务 - 从MOOC讨论论坛上提到的学习资源，从收获的100k+资源集合中提到。我们的Wikification系统在讨论论坛中发现的关键资源提及的54.6％的成功决议达到了高初始率，证明了MUIR框架的实用性。我们对这个新问题的分析表明，上下文是确定正确解决此类提及的关键因素。
New learning resources are created and minted in Massive Open Online Courses every week -- new videos, quizzes, assessments and discussion threads are deployed and interacted with -- in the era of on-demand online learning. However, these resources are often artificially siloed between platforms and artificial web application models. Facilitating the linking between such resources facilitates learning and multimodal understanding, bettering learners' experience. We create a framework for MOOC Uniform Identifier for Resources (MUIR). MUIR enables applications to refer and link to such resources in a cross-platform way, allowing the easy minting of identifiers to MOOC resources, akin to #hashtags. We demonstrate the feasibility of this approach to the automatic identification, linking and resolution -- a task known as Wikification -- of learning resources mentioned on MOOC discussion forums, from a harvested collection of 100K+ resources. Our Wikification system achieves a high initial rate of 54.6% successful resolutions on key resource mentions found in discussion forums, demonstrating the utility of the MUIR framework. Our analysis on this new problem shows that context is a key factor in determining the correct resolution of such mentions.
