Student Success Through the Lens of Data

This course explores the effective use of data to improve student success.  Designed for teams of three-to-five administrators, the intended audience includes those who plan, implement, and evaluate programs and services aimed to foster greater success among community college students. 
Core Lessons
Data 101 – A Basic Introduction to Data and Research
Transforming Data into Information
Preparing Data for Longitudinal Analysis
The Achieving the Dream™ Approach to Student Success
Task Modules and Exercises
Urban Legends: Explores uses of data to assess urban legends about student success and presents a process that colleges can use to identify truth and myth.
Data Definitions: Explores common definitions of variables associated with student success, and issues  and nuances related to variable definitions.
Data Access and Availability: Explores data access and availability.   Questions explored include: What data are collected, by whom, and from what sources; where data are stored; and who has access to the data?
Using Data Within a Culture of Evidence: Demonstrates how to use data within a culture of evidence including how to identify barriers to success, diagnose  probable causes of barriers, choose and implement a strategy to address  barriers, and evaluate results.
Snapshots of Student Success: Explores how to use “snapshot” data from a single year to identify opportunities to improve student success.
Using Longitudinal Data to Improve Student Success: Demonstrates how to us longitudinal data to analyze student enrollment patterns and identify opportunities to improve student completion rates.
Knowledge & Skills Taught
• Using longitudinal tracking of cohorts to explore enrollment patterns and completion rates
• Examining snapshot data
• Key steps for data-informed decision-making
• Understanding the definition, collection, source, storage and access for and of data
​• Identifying key variables used in student success analysis.
• Sorting and filtering data
• Uncovering and testing urban legends
• Using qualitative and quantitative data to evaluate student success
• Understanding and using operational and narrative definitions
Course Fee: $1,200 for teams of 3-5 ($1,100 for AIR members)

Download a registration form (PDF) to mail or fax.