Research-informed assessment
SpeechGradebook is built on a dissertation-informed framework focused on the assessment of learning outcomes in public speaking.
For instructors, programs, and departments exploring rubric-based evaluation with instructor review. Book a walkthrough, or send the form below and we’ll follow up.
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SpeechGradebook is built on a dissertation-informed framework focused on the assessment of learning outcomes in public speaking.
AI-generated scoring and feedback are a starting point. Instructors review and edit evaluations before saving the official grade.
Structured rubrics, NCA-informed alignment when appropriate, and learning-outcome visibility help instructors and programs better understand communication growth over time.
Anna McClure, Ph.D., coauthored Public Speaking in a Global Context (Macmillan Learning) and built SpeechGradebook from classroom and dissertation research on speech assessment.
In public speaking courses she taught as instructor of record, evaluations averaged 4.5/5 on feedback quality and support.
SpeechGradebook Evaluation is designed to support structured speech assessment rather than open-ended chatbot feedback. The platform uses rubric-based AI support to analyze student recordings, while instructors remain responsible for reviewing and saving official evaluations.