Lingua.ly
Immersion-based language learning through real-world web content and context-aware SRS.
Transform grading into growth with AI-powered personalized feedback and automated rubric alignment.
GradeGenius AI is a sophisticated pedagogical assistant designed to bridge the gap between high-volume assessment and high-quality student feedback. Built on a proprietary fine-tuned Large Language Model (LLM) architecture—likely leveraging a hybrid of Claude 3.5 Sonnet and GPT-4o—the platform focuses on 'Pedagogical Alignment,' ensuring that AI-generated feedback adheres to specific institutional rubrics and Bloom’s Taxonomy. As of 2026, the tool has positioned itself as a critical middleware between Learning Management Systems (LMS) like Canvas, Moodle, and Google Classroom. Its technical core utilizes RAG (Retrieval-Augmented Generation) to reference specific course materials, ensuring that grading remains contextually relevant to the specific syllabus. The platform distinguishes itself by offering 'Feedback Loops' rather than just scores, allowing students to iterate on assignments based on AI-driven suggestions before final submission. This 2026 iteration features advanced bias-mitigation algorithms and FERPA/COPPA-compliant data handling, making it an enterprise-grade solution for both K-12 and higher education institutions seeking to reduce teacher burnout while maintaining academic integrity.
Uses Retrieval-Augmented Generation to scan provided course textbooks and lecture notes, ensuring feedback is grounded in class-specific content.
Immersion-based language learning through real-world web content and context-aware SRS.
Hybrid language mastery through pedagogical technology and expert human oversight.
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
Accelerate Spanish and English mastery through Lingu, an adaptive AI tutor that personalizes every lesson.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Anonymizes student data and runs a dual-pass check to ensure the AI does not exhibit demographic bias in grading.
Instead of providing answers, the AI generates questions that guide the student to correct their own mistakes.
Native support for grading assignments in 40+ languages with full rubric translation capabilities.
Advanced Vision-Transformer models convert handwritten lab reports and essays into machine-readable text for analysis.
Uses historical data to predict if a current rubric will result in an abnormal grade curve before the grading starts.
Generates a visual map of where text likely originated, distinguishing between AI-generated, copied, and original work.
TAs spending 40+ hours grading 500+ freshman comp essays, leading to inconsistent feedback.
Registry Updated:2/7/2026
Sync grades back to Canvas gradebook.
Checking data accuracy in lab reports across multiple variables is time-consuming.
Students only get feedback after the assignment is finished, preventing improvement.