NX:IQ Grade
Spend less time processing assignments—and more time supporting learning.
NX:IQ Grade helps instructors apply rubrics, evaluate student work and prepare useful feedback with AI assistance. Educators remain responsible for reviewing and approving grading decisions.
The challenge
Grading is high-effort, repetitive and hard to standardize.
Assessment consumes a significant share of instructional time. Large sections, varied submission formats and detailed rubrics make thorough feedback difficult to sustain across a full term.
Consistency is harder still. When multiple instructors, teaching assistants and sections evaluate the same assignment, scoring can drift—and students notice. Departments rarely have a practical way to see that variation, let alone correct it.
How it works
Six steps, with the instructor in control at the decision point.
- 01
The educator creates or imports an assignment and grading rubric.
- 02
Student submissions are securely provided to the platform.
- 03
NX:IQ Grade evaluates the work against the defined criteria.
- 04
The platform prepares grading recommendations and draft feedback.
- 05
The instructor reviews, modifies and approves the final assessment.
- 06
Aggregate insights help identify common strengths and learning gaps.
Core capabilities
What NX:IQ Grade does.
Rubric-based AI assessment
Evaluate submissions against the criteria instructors define, criterion by criterion.
Instructor review and approval
Nothing is finalized until an educator reviews and approves it.
Customizable feedback
Draft comments are editable, reusable and adaptable to course voice and expectations.
Consistency checks
Surface scoring variation across sections, graders and submissions.
Batch processing
Work through a full assignment set in one pass instead of one file at a time.
Performance insights
See where cohorts struggle and which criteria drive score differences.
Export and integration readiness
Structured exports and APIs designed for downstream institutional systems.
Transparent assessment rationale
Every recommendation shows the reasoning tied to rubric criteria.
Configurable institutional controls
Policies, roles and retention settings configured to institutional requirements.
Responsible AI
Designed for oversight, transparency and institutional control.
NX:IQ Grade is designed with privacy, security and responsible AI principles in mind. We describe how the system behaves rather than making regulatory or compliance claims.
- Human oversight: instructors review and approve every assessment
- Transparency: rationale is tied to the rubric criteria used
- Privacy-conscious design and least-privilege data access
- Configurable institutional policies, roles and retention settings
- Auditability across recommendations, edits and approvals
- Fairness monitoring to surface scoring variation for human review
- Secure handling of educational information throughout the workflow
Intended users
Who NX:IQ Grade is built for.
- Universities and colleges
- Academic departments
- Instructors and teaching teams
- Continuing education providers
- Corporate learning programs
FAQ
Common questions from academic teams.
- Does NX:IQ Grade assign final grades automatically?
- No. NX:IQ Grade prepares grading recommendations and draft feedback. Instructors review, modify and approve every final assessment.
- How does NX:IQ Grade apply grading criteria?
- Educators create or import an assignment and rubric. NX:IQ Grade evaluates submissions against those instructor-defined criteria and shows the rationale behind each recommendation.
- How is student information handled?
- NX:IQ Grade is designed with privacy, security and responsible AI principles in mind, including configurable institutional controls, least-privilege access and auditability. We review specific institutional requirements with each customer.
See how AI-assisted grading can support your educators and students.
We'll walk your team through the workflow using your rubric and assignment structure.