Gradescope vs Rubrical

Gradescope is an assessment platform for instructors who administer and grade work completed online or in class. It handles variable-length assignments, including problem sets and projects, as well as fixed-format worksheets, quizzes, bubble sheets, and exams. Instructors can grade with flexible rubrics, provide detailed feedback, and revise rubric decisions on work that has already been graded. For programming work, students can submit code from GitHub or Bitbucket; instructors can use autograders or add inline comments during manual grading. Gradescope also offers question- and rubric-level statistics, with grade and data exports. Its AI can group similar responses for instructor review on some question types; Answer Groups and AI-assisted grading require an Institutional license. That license also enables integrations with Blackboard, Brightspace, Canvas, Moodle, and Sakai. Without it, rosters can be imported by CSV and grades downloaded for LMS upload. The free Basic plan is listed at free. Android and iOS apps support student submissions and grade viewing, not instructor workflows.

Rubrical is a web-based AI teaching platform for geography departments. Teachers can upload PDF, Word, or image assessments and mark schemes, or create rubrics themselves. It marks answers criterion by criterion against the selected rubric, presents reasoning and evidence, and drafts feedback; a teacher approves every mark and feedback item before delivery to students or writing to an LMS. Rubrical also drafts specification-aligned objectives, timed lessons, and tiered resources grounded in checkable sources. Approved results produce assessment-objective breakdowns, question-difficulty rankings, at-risk flags, misconception heatmaps, and plain-English queries. Work can come from Google Classroom, Microsoft Teams, scans, or student hand-in links. It supports AQA, Edexcel, OCR, WJEC/Eduqas, and user rubrics. Feedback can be simplified, enlarged, shown in OpenDyslexic, or translated. Core school data is stored in London. Rubrical says student and learning-platform data are not used to improve AI models. Pricing is available by contacting the team.