Moving Beyond Binary Multiple-Choice Testing
While multiple-choice testing is easy to grade, it fails to evaluate how a student reasons, articulates arguments, or approaches open-ended problems. Subjective assessments provide deeper insights but place an overwhelming grading burden on educators.
AI-assisted competency evaluation bridges this gap by providing accurate, rubric-aligned grading support while keeping teachers firmly in the decision-making loop.
