Analyzing LMS Data to Inform Instructions and Learning - Webinar

Analyzing LMS Data to Inform Instructions and Learning - Webinar

Where: Webinar/Virtual

When: Wednesday, April 25, 2018
1:00pm - 2:00pm

Note: Login instructions will be sent prior to the event directly from Zoom. If you have not received login instructions by 4:00pm the day before the webinar, please check your spam folder, if you still have not received the login details please email

Workshop Organizer:  Jing Qi of Dartmouth College & Brian Reid of Dartmouth Geisel School of Medicine

Registration Fee:
NERCOMP Member: Free
Non-Member: $65

Event Overview
As learning management systems (LMS) become more widely and deeply adopted to support teaching and learning, a substantial amount of data of how students participate in learning activities is available. In this webinar, we will explore LMS data to address teaching and learning related questions. How can we analyze the data and translate it into a useful form? How can we make the LMS data accessible to faculty to inform the efficacy of the instruction and the quality of students’ learning experience? To address these questions, we will first introduce the common types of LMS data and the basic techniques of gathering and analyzing the data. We will then demonstrate a self-service tool developed to analyze learning data from an LMS and finish with an example of how faculty can apply the knowledge to inform instruction and learning.

Learning Objectives
 Identify the types of LMS educational data which can be used to address specific learning and teaching needs.
- Build a community in which we share and explore good practices for gathering and analyzing LMS educational data to inform teaching and learning.



Registration Cancellation Policy:
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