AssessIQ is an AI-powered academic assessment engine designed to streamline the grading process for higher education institutions. By automating rubric-based grading, providing criterion-level feedback, and offering actionable insights, AssessIQ enables professors to focus more on teaching and less on administrative tasks.
Key Features and Functionality:
- AI-Powered Rubric Generation: Automatically creates comprehensive, Bloom's taxonomy-aligned rubrics based on assignment details and learning outcomes.
- Automated Criterion Scoring: Evaluates each submission per criterion, delivering evidence excerpts, confidence scores, and draft feedback within minutes.
- AI Detection & Integrity: Conducts four-tier risk assessments using stylometric, linguistic, and structural analyses to uphold academic integrity.
- Socratic Feedback Engine: Offers evaluative, developmental, or Socratic feedback tones, generating reflective prompts to enhance student learning.
- Instructor Analytics: Provides insights into class performance trends, individual student growth, AI scoring accuracy, and department-level data through a unified analytics suite.
- Student Growth Portfolio: Presents students with criterion-level scores, evidence highlights, instructor feedback, and resubmission opportunities in an intuitive interface.
- AI Session Log Submission: Analyzes students' raw AI conversation logs to assess appropriate AI usage and identify over-reliance.
Primary Value and User Solutions:
AssessIQ addresses the challenges of time-consuming grading and inconsistent feedback in higher education. By automating the assessment process, it reduces grading time by up to 60%, enhances feedback quality, and ensures academic integrity. This allows educators to dedicate more time to teaching and student engagement, while students benefit from timely, personalized feedback that supports their learning and development.
