Evidence-Based Examination Integrity
Licensing | Certification
Detect meaningful anomalies. Understand the evidence. Make defensible decisions.
Question-level examination evidence, explainable findings, recommended review actions, and explicit
limitations — with qualified people making the final decision.
LearningSuite™ Exam Integrity transforms examination response data into an evidence-based review of potential integrity concerns. Using question-level timing, response patterns, attempt behavior, and available network information, LearningSuite identifies anomalies that warrant closer examination and organizes them into a structured review for qualified human decision-makers.
The governing principle
The system identifies patterns. People make decisions.
A licensing or certification examination can determine whether someone may practice a profession. An integrity finding therefore deserves more than an unexplained score or an automated accusation. Exam Integrity identifies risk indicators, explains the supporting evidence, recommends appropriate review actions, and states the limitations of the analysis. It does not determine that misconduct occurred.
Explainable findings
Reviewers see why an attempt was surfaced, not simply that it received a risk score.
Evidence and limitations
The review presents supporting evidence and explicitly identifies information that was unavailable.
Human adjudication
Findings are advisory. Administrative or disciplinary decisions remain with qualified reviewers.
System-of-record evidence
Integrity intelligence from the examination itself.
Because LearningSuite delivers the examination, Exam Integrity can analyze the response events generated during the assessment rather than relying only on a final score. The available evidence can include question-level timing, selected and correct responses, examination sequence and form, attempt behavior, score context, and network information when available.
| Evidence source | How it contributes to review |
|---|---|
| Question-level timing | Response-posted timestamps and elapsed time provide a question-by-question view of examination pacing. |
| Response patterns | Selected and correct responses can be evaluated for unusual similarities, uncommon errors, and response relationships. |
| Attempt behavior | Rapid sequences, unusual pauses, repeated-attempt behavior, and other pacing patterns can be surfaced for review. |
| Exam form and sequence | Exam version and question sequence provide context for interpreting candidate behavior. |
| Network context | Where IP information is available, it can support evaluation of shared testing environments and candidate relationships. |
| Score and performance context | Candidate performance can be considered alongside timing and response behavior rather than viewed in isolation. |
Timing is reconstructed at the question level. LearningSuite uses the response-posted timestamp and elapsed time on the item to calculate a question start time, creating a much richer examination timeline than start and completion times alone.
Patterns requiring review
Multiple signals. Context before conclusions.
Exam Integrity evaluates multiple forms of evidence. A single unusual event is treated as a reason to look more closely, not as proof of misconduct.
Rapid-answer bursts
Identifies sequences in which several consecutive questions are answered unusually quickly and presents the surrounding correctness and pacing context.
Long pause followed by rapid correct responses
Surfaces unusual pause-and-response sequences that may warrant examination of interruptions, session events, or other contextual evidence.
Response and timing similarity
Where sufficient comparison data are available, the review can evaluate unusually similar answer paths and question-by-question pacing across attempts.
Shared uncommon incorrect responses
Repeated uncommon wrong-answer matches can provide a stronger signal than candidates independently selecting the same correct response.
Shared-IP and network relationships
When IP information is available, shared network activity can be used as corroborating context. A shared IP address alone is not treated as proof of misconduct.
Pair, cluster, and repeated-attempt patterns
When sufficient evidence exists, related attempts and repeated candidate behavior can be evaluated together to reveal relationships not visible in an isolated score.
What the review returns
From overall risk to the attempts that deserve attention.
Exam Integrity helps reviewers move from the examination population to the specific attempts and patterns that warrant closer examination.
Overall risk assessment
An overall integrity risk level and score summarize the indicators identified across the examination population, with a narrative explaining why that level was assigned.
Key risk indicators
The review identifies the most important patterns found across the examination and explains why each pattern warrants attention.
Candidate findings
Flagged attempts are presented with a risk level and score, specific findings, supporting evidence, and recommended review actions.
Pair and cluster findings
When the necessary computed evidence is available, the review can surface relationships between attempts and groups of attempts showing common patterns.
Evidence attached to the finding
An integrity indicator should never be a black box.
For candidate findings, LearningSuite presents the evidence that caused the attempt to be surfaced for review. Depending on the available data, that evidence can include rapid-response timing, pause duration, correctness during a rapid sequence, response similarity, uncommon incorrect-response matches, timing relationships, shared network activity, cluster relationships, and repeated-attempt behavior.
The reviewer can see not simply that an attempt was flagged, but why it was flagged. Risk levels and scores provide prioritization; the associated findings and evidence provide the basis for review.
Recommended review actions
Detection is only the beginning of the investigation.
Exam Integrity recommends appropriate next steps based on the evidence available. The purpose is not to tell a reviewer what decision to make. It is to help determine what evidence should be examined next.
- Inspect item-by-item timing around an anomaly
- Compare the flagged segment with the candidate’s overall pacing
- Determine whether rapid responses occurred near the end of the examination or during another identifiable exam event
- Review repeated attempts together when similar behavior occurs more than once
- Review proctoring or session records
- Review connectivity, browser, device, or application events
- Compare rapid-correct responses with item difficulty or other item statistics
- Investigate shared-network activity when IP information is available
Explicit limitations
The analysis also tells you what it does not know.
Every Exam Integrity Review includes limitations. Missing information is identified as unavailable rather than silently treated as evidence. This gives reviewers the context needed to distinguish a meaningful concern from a pattern that may have a legitimate explanation.
Missing network evidence
Without IP information, shared-network relationships and IP-based corroboration cannot be evaluated.
Unavailable pair or cluster evidence
If pairwise or cluster results are unavailable, the review states that those relationships could not be assessed from the supplied results.
Missing contextual evidence
When item statistics, navigation traces, proctoring, device telemetry, or audit logs are unavailable, the review identifies that limitation.
An unavailable signal is reported as unavailable — not silently treated as evidence.
Human-governed SolyraAI
AI helps explain the review. It does not replace the reviewer.
The underlying integrity risk levels and scores are deterministic outputs from the supplied examination data. SolyraAI™ helps organize and explain those results in a structured review that qualified reviewers can understand and act upon.
- Identifies integrity risk indicators and anomalies
- Assigns risk levels and scores
- Organizes findings by candidate attempt
- Surfaces pair and cluster findings when available
- Presents supporting evidence
- Recommends investigative actions
- States analytical limitations
- Determine that cheating occurred
- Automatically invalidate an examination result
- Alter a candidate’s score or credential status
- Treat a single signal, such as a shared IP address, as proof of misconduct
- Hide missing evidence or analytical limitations
- Replace qualified human review
Documented review
From on-screen findings to a formal Exam Integrity Review.
Exam Integrity results are available within the LearningSuite Exam Analysis workflow and can also be generated as a formal review report. The report provides a consistent record of what the system identified, what evidence supported the findings, what information was unavailable, and what actions were recommended for further review.
More than a cheating score
The pattern. The evidence. The context. The limitation. The next question to ask.
A single score cannot tell a reviewer what actually happened during an examination. LearningSuite Exam Integrity gives licensing agencies, certification organizations, and other high-stakes testing programs a transparent and defensible way to investigate potential examination-integrity concerns.
Frequently Asked Questions
No. Exam Integrity identifies patterns and risk indicators that warrant human review. Findings are advisory and do not establish that misconduct occurred. Qualified reviewers remain responsible for any administrative or disciplinary decision.
Depending on the examination and available data, the review can incorporate candidate and attempt identifiers, score information, exam version, selected and correct responses, question sequence, elapsed time, response-posted timestamps, calculated question timing, IP information, and other available examination context.
Examples include rapid-answer bursts, unusual pause-and-response patterns, similar answer patterns, shared uncommon incorrect responses, timing similarities, shared-IP relationships, repeated-attempt behavior, and candidate-pair or cluster relationships when sufficient data are available.
No. A shared IP address is contextual evidence only. Schools, workplaces, testing centers, households, and other legitimate environments may share public IP addresses. Exam Integrity evaluates available signals together and leaves interpretation to the reviewer.
The analysis states the limitation. For example, if IP information is unavailable, the review indicates that shared-IP corroboration and IP-based clustering could not be performed. Missing information is not treated as evidence.
Yes. Integrity indicators are presented as patterns requiring review, not conclusions. Rapid responding, unusual pauses, or other anomalies may result from guessing, technical issues, accessibility tools, interruptions, prior familiarity, navigation behavior, or other legitimate causes.
Yes. Where proctoring, session, device, browser, application, or administrative records are available, reviewers can use them as additional evidence when investigating a finding. Exam Integrity identifies their absence when it limits the review.
Exam Integrity is an optional capability within the LearningSuite Exam Analysis workflow and requires the appropriate Exam Integrity entitlement. Organizations can use standard Exam Analysis without enabling Exam Integrity.
See what your examination data can tell you.
LearningSuite Exam Integrity turns examination behavior into a structured, explainable review without replacing the judgment of the professionals responsible for protecting the credential.
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