Testimonial

AI-powered category tagging in ExamSoft

How faculty save hours and improve accuracy with CompetencyGenie™

Exam tagging in seconds, right inside ExamSoft

Manual exam tagging in ExamSoft often slows down faculty and assessment teams, making it difficult to ensure consistency and reliable competency alignment.

The CompetencyGenie™ Chrome extension for ExamSoft users changes that. With AI-powered category tagging, institutions like UC San Diego and Lincoln Memorial University have reduced hours of manual work, improved accuracy, and streamlined competency-based education.

Download the full testimonial to hear from Ezra Blaize, Assessment & Accreditation Officer at UC San Diego, and Matthew Griffiths, MMSPA, PA-C, Assistant Professor at Lincoln Memorial University, as they share how Enflux’s CompetencyGenie™ transformed their exam tagging processes.

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CompetencyGenie™ — bulk tagging & instant insights in the Enflux platform

Don’t have the time or resources for manual category tagging?

With CompetencyGenie™ in Enflux, you don’t need them.

Our AI-powered bulk tagging solution instantly processes all of your assessment items—new and historical—delivering a comprehensive, accreditation-ready dataset that’s fully visualized in real-time dashboards for curriculum evaluation and accreditation readiness.

Resources

Category tagging toolkit for faculty & administrators

Free worksheet

This practical worksheet acts as a guide to curriculum mapping, designed for faculty, administrators, and curriculum leaders who want to improve consistency, accreditation readiness, and program alignment using a proven curriculum mapping tool. Whether you’re preparing for accreditation, refining exam blueprints, or tracking student learning outcomes, this worksheet supports your efforts through thoughtful, scalable category tagging.

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Exam item classification for medical programs: strategies for effective assessment

Article

In an ideal world, medical school assessments would provide a clear measure of how well students have mastered required competencies, aligning with the ultimate goal of preparing capable practitioners. However, faculty often face challenges such as limited time and difficulties in evaluating competencies effectively, particularly when classifying quiz and exam questions. While competency-based education is widely adopted in medical schools, achieving accurate category tagging is essential for obtaining meaningful insights into student performance