Multimodal learning analytics, which is collection, analysis, and report of diverse learning traces to better understand and improve the learning process, has been producing a series of interesting prototypes to analyze learning activities that were previously hard to objectively evaluate. However, none of these prototypes have been taken out of the laboratory and integrated into real learning settings. This article is the first to propose, execute, and evaluate a process to scale and deploy one of these applications, an automated oral presentation feedback system, into an institution-wide setting. Technological, logistical, and pedagogical challenges and adaptations are discussed. An evaluation of the use and effectiveness of the deployment shows both successful adoption and moderate learning gains, especially for low-performing students. In addition, the recording and summarizing of the perception of both instructors and students point to a generally positive experience in spite of the common problems of a first-generation deployment of a complex learning technology.

中文翻译：

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在机构范围内扩展和采用多模式学习分析应用程序

多模态学习分析，即收集、分析和报告各种学习痕迹以更好地理解和改进学习过程，已经产生了一系列有趣的原型来分析以前难以客观评估的学习活动。然而，这些原型都没有被带出实验室并集成到真实的学习环境中。本文是第一个提出、执行和评估将这些应用程序之一（一个自动口头演示反馈系统）扩展和部署到机构范围内的过程的文章。讨论了技术、后勤和教学方面的挑战和适应。对部署的使用和有效性的评估显示成功采用和适度的学习收益，特别是对于表现不佳的学生。