Tuesday, October 29th, 2019
9:10 AM - 10:00 AM: Concurrent Sessions
Texas 4
 
Concentration
Research/Tracking Quality Assurance
Session Title
Data-Driven: Using Course and Institutional Data for Continuous Improvement
Description
Are you drowning in institutional or LMS data? Have you considered collecting feedback from students or faculty but aren't sure where to start? In this session we'll discuss how to collect, analyze and use data for continuous improvement.
Learning Objectives
Identify major types of data to collect for continuous quality improvement.
Describe common obstacles and barriers in data collection and discuss how to overcome them.
Explain how to analyze and interpret data well in order to improve online learning.
Intended Participants - Role
Administrators
Faculty
Instructional Designers
Intended Participants - Knowledge Level
Participants with some experience in the topic, but looking to grow
#QMConnectResearch
Presenter(s)
Dr. Bethany Simunich, Director, Online Pedagogy and Research, Kent State University
Bethany Simunich is the Director of Online Pedagogy & Research at Kent State University. Dr. Simunich has worked with QM for many years, including as a Master Reviewer, APPQMR & IYOC Facilitator, and Senior Research Colleague. Currently, she is co-State Lead for the QM Ohio Consortium, as well as a QMC and CRM for Kent. She creates and facilitates professional development for instructional designers and online instructors, and is a Facilitator for QM's ABCs of Online Learning Research workshop.