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.
- 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 use 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
$1,200 for teams of 3-5 ($1,100 for AIR members)
Apr 01 - May 26