Assessment and feedback
Apply configured criteria, generate feedback and route uncertain or high-impact cases for review.
Criteria-basedAgreed with educatorsIndustry 08 · Education & EdTech
Use AI to reduce repetitive assessment and content operations without removing educator judgment. Aviox builds assessment, feedback and product workflows that connect learner activity, scoring logic and human review.
- 5
- Practice programmes in ExamsDojo, an Aviox-operated product: IELTS, PTE, TOEFL, Skill Builder and Language Builder
- 3
- Exam formats ExamsDojo is designed to support: PTE, IELTS and TOEFL
- Educators decide
- Automated assistance is kept separate from official grading
Practical uses
What is a practical use of AI in education?
Start with repetitive support tasks around learning: assessment preparation, first-pass scoring, feedback drafting, content classification, learner-support routing and progress summaries.
Educators spend a large share of their time on first-pass marking, content preparation and administration. Aviox builds assessment, feedback and product workflows that connect learner activity, scoring logic and human review.
The aim is to take repetitive work off educators, not to replace judgment. Automated assistance is kept clearly distinct from official grading or progression decisions, and override and review remain possible.
What we measure
- Variance against reviewersHow closely automated first-pass results track agreed human marking, on representative submissions.
- Review rateThe share of responses routed to an educator because confidence was low or impact was high.
- TurnaroundTime from a learner submitting work to receiving feedback, on one agreed definition.
How we automate it
Education workflows we can build.
Four areas where automation supports educators rather than replacing them, plus the policy layer that keeps pedagogy with the people responsible for it.
Learner progress
Combine attempts and activity into useful progress views.
Progress viewsPer learner and cohortContent operations
Tag, transform, quality-check and approve learning content.
Reviewed contentApproved before useEdTech engineering
Build learner, instructor and administrator experiences and integrations.
Three audiencesLearner, instructor, adminEducator control
Keep pedagogy and policy with educators: distinguish automated assistance from official grading and make override possible.
Override possibleReview at every step| Process | Before | After |
|---|---|---|
| Assessment and feedback | Responses queued for evening marking | First-pass feedbackConfigured criteria applied; uncertain cases routed for review |
| Learner progress | Progress pieced together from spreadsheets | Progress summariesAttempts and activity combined into one view |
| Content operations | Content tagged and checked by hand | Tagged and checkedContent classified, transformed and quality-checked for approval |
| EdTech engineering | Separate tools for each role | Joined-up platformLearner, instructor and administrator experiences with integrations |
| Educator control | Automation of unclear authority | Clear authorityAssistance separated from official grading or progression decisions |
Products for Education
Workflow patterns we build.
Three patterns for education teams, each configured to your rubric, platform and policies.
Live
ExamsDojo
IELTS · PTE · TOEFL · Skill Builder · Language BuilderAn AI-assisted practice platform that Aviox builds and operates: automated scoring and criterion-level feedback for learners, with management tools for coaching institutes.
- Three exam formats plus Skill Builder and Language Builder
- Separate paths for learners and institutes on one product
- An independent practice product, not an official score
Workflow pattern
Learner progress
Attempts · Activity · SummariesCombine attempts and activity into useful progress views. Configured to your data, rules and systems, with review steps agreed up front.
- Progress per learner and per cohort
- Built from attempts and activity already recorded
- Summaries an educator can act on
Workflow pattern
Content operations
Tagging · Quality · ApprovalTag, transform, quality-check and approve learning content. Configured to your data, rules and systems, with review steps agreed up front.
- Content classified against your taxonomy
- Quality checks before approval
- Every change reviewed by a person
Note These are starting patterns we configure to your data, rules and systems they are not off-the-shelf SaaS See the products Aviox runs itself
Request a quote
Want this workflow in your organisation?
Share the workflow and we will propose a first pilot.
Request a quote
Where education work starts.
These are the education workflows we are usually asked about, listed as a starting point rather than a promise of payback.
- 01Assessment preparation and first-pass scoring
- 02Feedback drafting for educator review
- 03Content classification and quality checks
- 04Learner-support routing
- 05Progress summaries for learners and cohorts
- 06Platform engineering for learner, instructor and admin experiences
Compliance
Student data and policy stay with the institution
How student data is collected, processed, stored and retained must match your institution's privacy policy and applicable requirements. We engineer the technical controls and keep pedagogy and policy with educators; we do not certify your organization.
- Access control
- Data minimization
- Retention limits
- Review and override
- Decision records
- Audit trail
Connected
Everything this page plugs into.
Every industry page links to one relevant service, one relevant technology page and genuine proof where it exists: the service that does the work, the stack it runs on and where to read further.
The services doing the work
Service
Generative AI engineering
Grounded GenAI, retrieval, agents and document intelligence with evaluation, governance and human review.
Explore ServiceDocument intelligence
OCR, document classification, structured extraction, validation and human review.
Explore ServicesAI, automation, data and software engineering
Services scoped around the system you need to run, not a list of technologies you need to buy.
ExploreThe stack it runs on
Technology
ExamsDojo, an Aviox-operated product
An AI-assisted practice platform that shows scoring, feedback and progress in a live product.
Explore TechnologyAI and machine-learning stack
Model choice, retrieval, evaluation and observability behind scoring workflows.
ExploreRead further
Case studies
How every Aviox case study is structured
What a published study contains and how its results are verified.
Explore All sectorsThe other nine industries
The same engineering pattern, adapted to each sector's rules, evidence needs and human-approval points.
Back to industries Request a quoteScope an assessment workflow
A sentence about the workflow that slows you down is enough to start. An engineer replies, not a sales sequence.
Request a quoteQuestions
Before you get started.
Asked most often by institutes, coaching centres and EdTech teams.
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No. The aim is to take repetitive first-pass work off educators and give them clearer information about where learners are struggling. Judgment, pedagogy and policy stay with educators, and override and review are built in.
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Yes, where the rubric can be expressed as agreed criteria. We build the scoring logic around your criteria and test it on representative submissions, with acceptable variance and review triggers agreed up front.
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Usually, where the LMS offers supported integration methods such as APIs or standard connectors. Integration scope is confirmed during scoping.
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The handling is defined for each deployment: what data is collected, where it is processed and stored, which model providers receive it, how long it is retained and who can access it. It must match the institution's privacy policy and applicable requirements.
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No. Automated assistance is kept separate from official grading or progression decisions, and educators can review and override.
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On representative submissions, comparing automated first-pass results with agreed human marking, with acceptable variance and review triggers agreed up front.
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Your rubric or criteria, a sample of real submissions and the policy limits on student data. We then propose how to test the workflow.
Start a conversation
Prove a scoring workflow
before you scale it.
Share the assessment, the criteria and a sample of real submissions. We will propose how to test the workflow and where educators stay in control.