Student Success Through the Lens of Data

Research-Banner

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 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

Course Fee

$1,200 for teams of 3-5 ($1,100 for AIR members)