Free Pre-Conference Workshops

Wednesday, November 5, 2025
1:00pm - 3:00pm

AIRUM is pleased to offer Pre-conference workshops free to conference registrants.  

Workshop #1

Workshop: Explore How Explorance MLY Can Make Redaction Easier With Course Evaluation Data

Sponsor Workshop by Explorance

Presenter: Explorance

Get to know MLY (mi-lee), an AI powered qualitative feedback tool that simplifies the redaction process, making it tremendously faster and easier to work with course evaluation data. In this workshop, you’ll explore smarter ways to understand insights and turn feedback into action. Plus, we’ll cover some best practices for using alerts to create a safe feedback environment. This session is open to everyone! No prior knowledge of Explorance solutions necessary.

BONUS if you bring a friend! Attend with a colleague, and you’ll both receive a special gift.

Explorance Logo

 

Workshop #2

Introduction to SQL

Presenter: Jim Sorenson

Description:  Learn the basics of structured query language (SQL – pronounced See-quell) through a workshop that will include the basics of query syntax and formatting and the extraction of accurate data that can be used for reporting and analytics.  The second hour will dive into advanced SQL commands that can be employed to improve data extraction and service the needs of your customer, or yourself.  Come prepared with DBeaver installed on your laptop if you want first-hand experience with the discussion. (https://dbeaver.io/) We’ll connect to a cloud SQL environment that’s based on Postgres SQL and we’ll highlight the differences between P/LSQL, T-SQL, and PSQL.

Presenter:  Jim Sorenson is the Director of Institutional Research for the University of Mary in Bismarck, ND.  Jim has varied experiences from military aviation to specialized IT infrastructure to data analytics.  Jim graduated from American Military University in 2016 with a B.S. in Environmental Science, obtained a M.S. in Data Analytics from Colorado State University in 2024 and is now pursuing a Doctorate in Business Administration with a proposed dissertation topic of the “Beneficial Use of Data within Higher Education.”