Colorado Community Colleges Gets Early Intervention System

Colorado Community College System (CCCS) is deploying SunGard Higher Education's Course Signals that is designed to identify students who are at risk of underperforming in a course. The new early intervention system will be implemented CCCS's 13 colleges and online consortium.

Course Signals uses data from the institution's information systems--including student information systems, learning management systems, and gradebooks--to detect at-risk students. The campus learning management system sends an e-mail to the student with a red, yellow, or green signal along with suggestions from faculty on resources and materials that may be helpful.

"The majority of our students are juggling school, jobs and family responsibilities, so their time is very limited. Course Signals will give them a quick and easy way to understand where they are falling short and what the college can offer to help them be successful, and do so early enough to salvage their semester," said Diana Doyle, president, Arapahoe Community College, in a prepared statement. "I also think it will encourage students to be active participants in their own academic success. It alerts them to behavior changes they can make in order to be successful long term."

CCCS integrated Course Signal with its existing administrative system, SunGard Banner, and DegreeWorks, Sungard's degree audit software. With this integration, advisors can see students' signals for in-progress courses, filter by criteria such as major or GPA, and reach out to struggling students.

"Currently, our faculty must go through a manual, time-consuming process to evaluate how each student is doing," said Julie Ouska, chief information officer of CCCS. "Course Signals will provide tools for faculty to reach out to students at risk without a tremendous amount of work, and do so consistently and in a timely manner. It also gives them a tool to easily reinforce and encourage the students who are doing well."

Colorado Community College System serves more than 162,000 students each year among 13 state community colleges and career and technical programs in more than 160 school districts and seven other post-secondary institutions.

Course Signal was built according to a predictive model created by Purdue University's John Campbell. For more information on Course Signal, visit SunGard HE's Web site.

About the Author

Kanoe Namahoe is online editor for 1105 Media's Education Group. She can be reached at [email protected].

Featured

  • student reading a book with a brain, a protective hand, a computer monitor showing education icons, gears, and leaves

    4 Steps to Responsible AI Implementation

    Researchers at the University of Kansas Center for Innovation, Design & Digital Learning (CIDDL) have published a new framework for the responsible implementation of artificial intelligence at all levels of education.

  • Red alert symbols and email icons floating in a dark digital space

    Google Cloud Report: Cyber Attackers Are Fully Embracing AI

    According to Google Cloud's 2026 Cybersecurity Forecast, AI will become standard for both attackers and defenders, with threats expanding to virtualization systems, blockchain networks, and nation-state operations.

  • Graduation cap resting on electronic circuit board

    Preparing Workplace-Ready Graduates in the Age of AI

    Artificial intelligence is transforming workplaces and emerging as an essential tool for employees across industries. The dilemma: Universities must ensure graduates are prepared to use AI in their daily lives without diluting the interpersonal, problem-solving, and decision-making skills that businesses rely on.

  • Analyst or Scientist uses a computer and dashboard for analysis of information on complex data sets on computer.

    Anthropic Study Tracks AI Adoption Across Countries, Industries

    Adoption of AI tools is growing quickly but remains uneven across countries and industries, with higher-income economies using them far more per person and companies favoring automated deployments over collaborative ones, according to a recent study released by Anthropic.