大规模企业学习:来自谷歌大型在线课程的经验教训

A. Asuncion, J. D. Haan, M. Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong
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引用次数: 4

摘要

谷歌研究中心最近为一个内部工程教育项目测试了一个大型在线课程模型,以机器学习为主题,将理论概念和谷歌专用软件工具教程混合在一起。这次培训的目标是培养在未来产品中利用机器学习工具的工程能力。该课程采用同步和异步两种方式,学生可以选择独立学习或与小组一起学习。由于所有学员都是公司员工,与大多数公开提供的mooc不同,我们可以在课程结束后很长一段时间内继续衡量学员的行为变化。本文描述了这一过程,概述了可用的数据集,并提出了分析方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corporate learning at scale: lessons from a large online course at google
Google Research recently tested a massive online class model for an internal engineering education program, with machine learning as the topic, that blended theoretical concepts and Google-specific software tool tutorials. The goal of this training was to foster engineering capacity to leverage machine learning tools in future products. The course was delivered both synchronously and asynchronously, and students had the choice between studying independently or participating with a group. Since all students are company employees, unlike most publicly offered MOOCs we can continue to measure the students' behavioral change long after the course is complete. This paper describes the course, outlines the available data set and presents directions for analysis.
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