Google Workspace, PowerPoint, Video & Audio Grading + Class Insights
Google Workspace Support
Grade submissions created in Google Docs, Google Slides, and Google Sheets. Files are pulled directly from Google Drive or Google Classroom — no downloads or file conversions needed. Each format is fully parsed and evaluated against your rubric, just like locally uploaded files.
PowerPoint Grading
Upload .pptx files directly as student submissions. The Grading Assistant analyzes each slide against your rubric — evaluating content coverage, required topics, visual organization, and language quality. Every slide is referenced by number in the feedback so you can see exactly where points were earned or lost.
Video Submission Grading
Students can now submit video files (.mp4, .mov, .webm) for grading. The audio track is automatically transcribed using Azure Speech Services, then evaluated against your rubric. Perfect for oral presentations, language proficiency recordings, and video essays.
Audio Submission Grading
Direct support for audio submissions (.mp3, .wav, .m4a, .ogg). Audio files are transcribed and graded the same way — ideal for foreign language speaking assessments, podcast assignments, and verbal responses.
Class Insights Report
After grading a full class, The Grading Assistant now generates a collective insights report that includes:
- Score distribution across all students
- Common strengths identified across submissions
- Common weaknesses and areas for improvement
- Class-wide trends in rubric criteria performance
- Actionable recommendations for instructional focus
Available on the Pro plan and above.
A New Approach to AI Detection
Most AI detection tools ask a single question: was AI used? We think that’s the wrong question for 2026.
The Grading Assistant takes a more nuanced approach — powered by Claude — that reflects how students actually work today. Rather than flagging AI use as pass/fail, our analysis identifies where on the spectrum a submission falls:
- AI-Assisted — the student’s own research, ideas, and core content are present. AI was used to refine, polish, or structure the final product, much like a proofreader or writing tutor would. This is a widely accepted academic practice.
- AI-Generated — the core concepts, facts, and substance of the submission appear to originate from AI rather than the student’s own work and research.
The distinction matters. A student who researches a topic thoroughly and uses AI to improve their writing is doing something fundamentally different from one who prompted an AI for the whole answer. Our analysis helps you see that difference clearly, without treating every tool-assisted submission as academic dishonesty.
How it works: Claude analyzes each submission for markers of original thought, personal voice, research depth, and structural patterns — producing an assessment of where the work sits on the AI-Assisted to AI-Generated spectrum, along with the reasoning behind the assessment.
Included in student reports: The AI analysis can optionally be appended to each student’s report, giving teachers a documented record alongside grades and feedback.
Available on all plans.