Expanding E2Coach: Using Actionable Intelligence to Enhance Student Success in Introductory Statistics Courses

现代世界充斥着数据，极大地放大了统计教育的必要性。统计学入门课程往往规模庞大，学生背景各异。在了解这些学生的兴趣和目标，了解他们的背景和进步的情况下，为他们量身定做所说的话，可以极大地改善他们的学习体验。这对所有学生都是如此--从那些可能很难掌握材料的人到那些最容易掌握材料的人。在这个项目中，学习分析技术被用来为密歇根大学每学期学习Stats 250的1400名学生提供个性化教学。通过整理在LectureTools主动学习环境中从学生工作中获取的丰富数据，正在创建关于学生的背景、兴趣和目标的详细肖像，以及每个学生的学习进步的实时状态。鉴于这些特点，E2Coach系统正在使用计算机定制的通信技术来单独解决每个学生的问题，并使他们能够与学生进行互动，就像他们与课程的指导团队坐下来进行专家指导会议一样。

The modern world is awash in data, greatly amplifying the necessity of statistics education. Introductory statistics courses are often both large and populated by students from a diverse array of backgrounds. Tailoring what is said to these students with an awareness of their interests and goals and an understanding of their background and progress can substantially improve their learning experience. This is true for all students - from those likely to struggle to those who most easily master the material.For this project, learning analytics techniques are being used to drive personalized instruction for each of the 1400 students who take Stats 250 each term at the University of Michigan. A detailed portrait of the student's background, interests and goals is being created as well as a real-time state of each student's academic progress by collating the rich array of data captured from student work in the LectureTools active learning environment. Given these portraits, the E2Coach system is using computer tailored communication technology to individually address each student and enabling interaction with the student as if they sat down with the instructional team for the course for an expert coaching session.