Teaching upper level statistics courses through a shared/hybrid model

Presenter Information

Jingchen HuFollow

Streaming Media

Submission Type

20-minute Presentation

Abstract

Under the Liberal Arts Consortium for Online Learning (LACOL) Upper Level Math/Stats Project, I taught an elective course (Bayesian Statistics) through a shared/hybrid model in Fall 2017. I would love to share my experience on designing such a course, and my thoughts on how to build up a cross-campus learning community.

Start Date

5-24-2018 3:05 PM

Description

At small liberal arts colleges, with the relatively smaller number of students taking statistics, offering advanced level courses can be difficult. LACOL Upper Level Math/Stats Project is an effort to share advanced level courses across different liberal arts college campuses, trying to expand course offering and keep the liberal arts flavor.

In my Bayesian Statistic course, lectures were given in classroom at Vassar with Vassar students present. Each lecture was recorded and shared with both Vassar students and students from other campuses taking the course as an independent study course with a local faculty liaison. Weekly designated office hours were offered to remote students. Homework and exams of each student were evaluated by me.

In addition to the technological challenges, I was also faced with the pedagogical challenges of designing the blended learning component (e.g. what to move online and how) and how to engage students across campuses. I want to share my experience and present some solutions that I had come up with. More importantly, I would love to discuss these challenges and receive advice and feedback.

Tentatively, I will spend 10 minutes on presenting my experience, and allocate the second half to be discussion (with prepared questions to start).