Assessment tools address the feedback bottleneck—faculty want to provide detailed, individualized feedback but lack time to do so at scale.
A tightly controlled experiment to provide feedback on a specific image of a chemical structure. This assessment works by translating an image input into text with as much detail as the AI can "see" and then providing feedback for that image-translated-to-text input based on a text rubric.
To test, you can try uploading the instructor example, mocked student example #1, or mocked student example #2.
Instructor-facing feedback support that analyses submission, organizes strengths & weaknesses, and can suggest feedback based on a rubric.
Student-facing, on demand feedback on a submissions based on instructor guidance and rubrics. For homework, drafts, practice, etc...
Student-facing app in which the student takes the roles of the educator teaching an AI learner. The student must correctly explain concepts to the AI learner.