AI interactive oral assessments
for Online Education

Online learning is where AI hits assessment hardest - and where invigilation can't follow.

One change. Three pressures relieved.

The academic integrity gap. The regulator's lens. The surveillance trap.

  • TEQSA's September 2025 guidance names "the vulnerability of fully online and asynchronous assessment" as a defining challenge.

    AI-detection tools are losing legal and operational defensibility - universities are pulling them after dismissed misconduct cases mounted up. Online providers cannot fall back on the in-person observation that on-campus operations use by default.

    Live, AI-conducted oral assessment is the only modality that materially closes the gap without adding hours of academic time per student.

  • Roughly half the sector now studies wholly or substantially online - and TEQSA is transitioning to a formal AI-risk regulatory approach in 2026.

    The next reaccreditation a fully-online course faces will be assessed under criteria that look hardest at exactly the modalities online providers depend on.

    A 10–15 minute Assurar oral session, recorded and educator-reviewed, is the cleanest unit-level secure task an online course can deploy - and produces the audit-grade evidence reviews now ask for.

  • Live online proctoring has run into student equity, accessibility and privacy walls, with the OAIC's posture on AI tightening further under the Privacy and Other Legislation Amendment Act 2024.

    Heavier proctoring is no longer a sustainable backstop - and never solved mid-assessment impersonation anyway.

    Assurar is the inverse trade-off: a constructive integrity intervention rather than a surveillance one. Identity, cognition and authorship are verified continuously, by the act of the conversation itself.

To address TEQSA’s Threshold Standards in the presence of AI, automated interactive oral assessment is a uniquely powerful answer.

The only modality that materially closes the AI-assisted cheating gap without adding hours of academic time per student.

The TEQSA secure-task pathway, ready to deploy

To meet TEQSA's Threshold Standards in the presence of AI, providers must show how each unit assures learning. Online providers carry a higher evidentiary burden than on-campus ones - there's no invigilated room to point to.

A 10–15 minute AI-conducted oral session could be the most efficient secure task most online courses will ever adopt.

It bolts onto your existing assessment plan rather than requiring a full curriculum rebuild. It scales without academic time.

And it produces a documented, auditable evidence chain.

Live video interactive oral conversations

…at a fraction of the in-person cost

A single human oral assessment takes 30–60 minutes per student to organise, conduct and grade. $50-110 each.

At distance-learning scale, that's not a cost problem - it's a non-starter.

Assurar can conduct thousands of oral sessions each week for a few dollars each. Freeing your academics to invest in feedback, mentoring, and the one-to-one interactions online students already get the least of.

Elevate learning and build the human skills employers are asking for

Every interactive oral practice and assessment requires a student to organise their thinking, articulate it clearly, and respond to questions they haven't seen before.

Across an online course, that compounds into something asynchronous study otherwise rarely develops - fluency in verbal reasoning, professional communication, and intellectual confidence.

For the online cohort - already carrying a credibility deficit on completion outcomes and employer trust - this is the modality that lifts what the credential actually demonstrates.

Built on established assessment science

Using the same pedagogy as your curricula

Every word spoken in an Assurar session is captured: real-time speech-to-text transcription with timestamps, paired with a full video recording stored for as long as you need.

Educators review and approve AI-suggested grades and feedback against the actual transcript. If a student appeals or an auditor asks for evidence, the complete record is there - no reconstruction, no reliance on examiner notes, no gaps.

Stored in your cloud or our cloud, in your country.

Student data and submitted work are never shared with public LLMs, and never used to train public AI models.

Full audit trail and strong data governance

Every session retains the transcript and video recording according to your data security standards

  • Bloom's Taxonomy: Each question type targets a specific cognitive level - from recall through to evaluation.

  • Kane's Validity Framework: Every grade has an auditable evidence chain from student response to learning objective.

  • Hattie & Timperley Feedback Framework: Every student receives structured feedback: feed-up (what was expected), feed-back (how they performed), feed-forward (what to improve).

  • Structured Oral Exam Research: use unstructured unique exams, or apply the same structured exam for every student - more reliable than traditional vivas, with the consistency TEQSA expects.

Want to learn more?

The Assurar platform is available for beta-release trial now.
Share your interest and we’ll contact you.

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Assurar - beyond proctoring

AI detection software is reactive. Assurar is constructive and proactive, harnessing generative AI to elevate the quality of education and the capabilities of your students.

We seek to empower educators to confidently validate learning at scale, transforming the assessment process into an opportunity to cultivate the critical communication, synthesis, and deep thinking skills essential for the future workplace.

Assurar was founded by an established Australian entrepreneurial team with a strong, globally validated track record in developing and scaling successful, enterprise-grade technology solutions.

Our Board of Advisors contribute deep, dual-sector expertise from the cutting edge of global technology innovation and the highest levels of academic governance, ensuring our solution is both pioneering and institutionally responsible.