PSYCHOMETRIC ENGINE CORE: #AP-IRT-03 COMPLIANCE: QTI 3.0 / FERPA / AA

Hireplicity designs secure, enterprise-class online assessment platforms and testing engines. Specializing in standard-compliant psychometrics, our dedicated Cebu-based developers engineer platforms conforming to IMS QTI 3.0 (Question and Test Interoperability), Item Response Theory (IRT), and Computer Adaptive Testing (CAT) models under full US-CTO leadership.

High-Stakes Assessment Platforms Engineered for Integrity & Scale

Accelerate your assessment software pipeline. Build secure exam delivery systems, advanced item banks, and adaptive testing engines 40% faster with a dedicated pod of senior developers supervised by our US-based Founder & CTO.

Conforming to Standards:
QTI 3.0 CORE IRT MODELING CAT ENGINE
Theta (Ability) P(Theta) 0.5 1.0 Candidate A Difficulty Candidate C P(theta) = c + (1-c)/(1+e^-a(t-b))
AP-MODULES // SYSTEM_SPEC_GRID

Interactive Assessment Modules Built to Your Specifications

We don't build generic quiz builders. We develop high-fidelity, secure, and dynamically adaptive testing systems designed to handle thousands of concurrent test takers with bulletproof integrity.

Standard-Compliant Item Banking

Organise massive question repositories with multi-layered metadata taxonomies. Support diverse question categories, automatic item versioning, and secure draft authorization stages.

High-Fidelity Delivery Players

Construct beautiful, stress-tested candidate environments. Our players handle secure lockout browser integrations, custom offline caching protocols, and responsive layout scaling.

Adaptive Testing Engines (CAT)

Implement smart, adaptive logic. We program Item Response Theory (IRT) parameters that measure candidate performance on-the-fly, dynamically adjusting test difficulties.

Automated & Manual Grading

Support complex automated grading profiles for open-responses. Pair custom rubric evaluations with intuitive grading screens for rapid instructor evaluations.

Interoperable LMS Grade Passback

Push real-time grade events and candidate rosters securely into existing LMS profiles (Canvas, Blackboard, Schoology) via advanced QTI and LTI Advantage protocols.

Deep Psychometric Reporting

Examine item performance data, item difficulty indices, and Cronbach's alpha reliability variables to continually audit and optimize the integrity of your exams.

COMPLIANCE & SCIENTIFIC PSYCHOMETRICS

Interoperable Formats & Advanced Psychometrics

Assessment integrity requires more than basic scoring logic. We design secure, compliant test delivery players and item banks rooted in global IMS standards and validated measurement models.

DATA CONFORMANCE // XML SCHEMA

IMS Global QTI Standards

QTI (Question and Test Interoperability) is the IMS Global standard for assessment content exchange. A QTI-compliant item bank stores assessment items in a standardised XML format that can be imported, exported, and delivered by any QTI-compatible platform - LMS, proctoring system, or analytics tool - without reformatting.

Building to QTI 2.x means your content is never locked into a vendor. At Hireplicity, we build QTI-compliant item data models and validate every item against the QTI schema throughout the sprint cycle as a standard quality gate.

<!-- Validated QTI 2.2 Item Schema -->

<assessmentItem identifier="item01">

  <responseDeclaration identifier="RESPONSE">

    <correctResponse>

      <value>choiceA</value>

    </correctResponse>

  </responseDeclaration>

  <itemBody>

    <choiceInteraction maxChoices="1">

      <!-- Item Content Nodes -->

    </choiceInteraction>

  </itemBody>

</assessmentItem>

PSYCHOMETRICS // ESTIMATION MODELS

Item Response Theory (IRT)

IRT (Item Response Theory) is the psychometric framework that underlies modern standardised testing and computer-adaptive assessment. Unlike classical test theory, which treats test difficulty as a fixed property, IRT models the probability of a correct response as a function of the learner's ability and the item's difficulty, discrimination, and guessing parameters.

The three-parameter logistic model (3PL) is the most common in high-stakes K-12 and higher education testing. Hireplicity engineers implement IRT-based ability estimation and item selection algorithms in collaboration with the client's psychometrics team - we build the software, the client owns the measurement model.

P(theta) = c + (1-c) / [1 + e^-a(theta-b)]
theta: Ability level
a: Discrimination
b: Item Difficulty
c: Pseudo-Guessing
ENGINE PIPELINE // CAT ALGORITHMS

Computer-Adaptive Testing (CAT)

CAT (Computer-Adaptive Testing) is a test delivery method in which the algorithm selects each subsequent item based on the estimated ability of the test-taker after each response. A CAT reduces the number of items needed to achieve a precise ability estimate by 30-50% compared to a fixed-form test of equivalent precision.

At Hireplicity, we implement CAT engines using maximum information item selection or exposure-controlled adaptive algorithms, depending on the security and content coverage requirements of the assessment.

ITEM_01 (Difficulty: 0.00) CORRECT
ITEM_02 (Difficulty: +1.20) RE-CALCULATING THETA
ITEM_03 (Estimated b = +0.85) PENDING

"When developing an online assessment platform, there is zero margin for error. A single security breach, server crash during a live exam, or scoring miscalculation will ruin an institution's credibility. Our Philippine software engineering squads build with absolute mathematical test coverage, sandboxed browser lockouts, and robust data isolation protocols. We ensure your high-stakes delivery engine performs with complete, auditable determinism."

Taylor Basilio

FOUNDER, CEO & CTO // HIREPLICITY

10M+
Exams Safely Delivered
QTI 3.0
Interoperable Conformance
99.99%
High-Stakes Engine Uptime
40%
Average Timeline Saved
DELIVERY PIPELINE // SPRINT ALIGNMENT

Your Platform Roadmap, Executed in Sprints

We replace the risk of traditional software vendors with a structured, sprint-by-sprint release framework. Guided directly by our Founder and leadership team, your assessment engine moves from Discovery to launch with complete alignment.

Week 2

Active Pod Mobilisation

40-60%

Faster Feature Velocity

100%

IP Codebase Handover

0%

Legacy Tech Debt

01 STAGE_01
DISCOVERY & ARCHITECTURE WEEK 1

Psychometric Discovery & Security Mapping

Our leadership deep-dives into your measurement models (IRT/3PL) and defines security boundaries. We establish strategies for sandbox browser lockouts, proctoring, and IMS QTI 3.0 schema import/export validators.

Audit-Ready Blueprints:
  • Written Assessment Specifications Document
  • Architectural Decision Record (ADR) for IRT / QTI
  • Strict FERPA & COPPA Requirements Checklist
02 STAGE_02
SQUAD DEPLOYMENT WEEK 2

Squad Mobilisation & Setup

We deploy your dedicated software engineering pod. Your development sandboxes are configured, repositories initialized with core frameworks, and secure delivery pathways integrated into your internal Slack and Jira environments.

Environment Controls Ready:
  • Active 3-Engineer Senior Developer Pod
  • CI/CD Automated Testing Pipeline Setup
  • Isolated Sandbox DB Instances Configured
03 STAGE_03
AGILE SPRINTS WEEKS 3–11

Item Banking & Delivery Player Sprints

Core development sprints kick off. Running on 2-week agile sprint cadences, our engineering pod builds your item bank schemas, testing interfaces, and adaptive algorithms, deploying AI tools to achieve 40–60% faster velocity.

Sprint Guarantees:
  • Working Delivery Player Demos Every 14 Days
  • 80% Minimum Automated Test Code Coverage
  • Direct Code Architecture Checks by Taylor Basilio
04 STAGE_04
AUDIT & LAUNCH WEEK 12+

Load Testing, VPAT & Secure Handover

We perform rigorous stress and scalability testing to simulate thousands of concurrent test takers. Our team runs final penetration checks, prepares VPAT accessibility documentation, and transfers 100% of the codebase and IP.

Handover Assets:
  • Concurrent Session Load Testing Reports
  • Completed VPAT Accessibility Compliance Report
  • Complete IP & Code Ownership Transfer Documentation
KNOWLEDGE BASE // ASSESSMENT FAQS

Frequently Asked Questions

Learn more about our psychometric engineering workflows, testing protocols, standards compliance, and database configurations.

Need a custom assessment build?

Have a unique psychometric algorithm or a complex IMS interoperability requirement? Speak directly with our executive engineering office.

Schedule scoping call

Yes. Our software engineers build database architectures and item players that seamlessly handle both specifications. While QTI 2.2 remains the most widely deployed format globally, we construct our schemas to align with QTI 3.0 definitions.

This forward-compatible setup ensures that your item banking system can parse modern HTML5/CSS3 custom interactions, implement native accessibility features, and support WebVTT and closed-caption assets while retaining complete compatibility with legacy LMS platforms.

We collaborate with your psychometricians to translate their formal measurement models into highly performant server-side code. Our squads have experience implementing:

- Rasch and 1PL, 2PL, and 3PL Item Response Theory (IRT) estimation models.
- Real-time Maximum Likelihood Estimation (MLE) or Expected A Posteriori (EAP) theta (ability) updates.
- Sympson-Hetter exposure control rules to prevent item overexposure.
- Content-balancing algorithms to ensure minimum subject-domain constraints are satisfied during adaptive selection paths.

We construct multi-layered security controls to protect the integrity of your assessment engines. We integrate third-party proctoring tools (such as ProctorU, Honorlock, or Respondus Monitor) using secure WebRTC hooks.

Additionally, we can implement custom web lockout mechanics, disable copy/paste clipboard shortcuts, restrict browser window-focus switches, and engineer randomized item-selection sequences from your bank to ensure no two students receive the same test path.

Yes. We develop automated data migration scripts that parse, extract, and clean legacy question inventories. Our pipelines identify raw question texts, option matrices, correct key references, and image assets from unstructured formats, wrapping them securely into standard QTI-compliant XML formats.

This bulk-migration framework significantly reduces manual entry errors and shortens content transition timelines by up to 60%.

We perform high-density automated load testing using headless testing frameworks (like k6 or Gatling) to simulate thousands of concurrent test-takers logging in, fetching items, submitting responses, and calculating scores.

We locate system bottlenecks in the SQL queries and connection pools, optimize cache performance with Redis, and configure horizontal auto-scaling parameters across containerized clusters (AWS ECS/Fargate) to guarantee zero latency during high-stakes exam hours.

Taylor Basilio personally provides executive architectural oversight on all custom assessment platform projects. Taylor drafts the core system blueprints, validates your QTI schema compliance mapping, and oversees security audits.

You receive high-trust US architectural leadership paired with the cost efficiencies of our dedicated, co-located Cebu development squads, guaranteeing delivery with zero technical debt.

SQUAD ENGAGEMENT // KICKOFF

Ready to Architect a High-Integrity Testing Platform?

Do not risk your institution's credibility on fragile, off-the-shelf testing systems. Let Hireplicity's US-led Philippine engineering squads deliver a custom, compliant, and stress-tested assessment engine mapped to your exact measurements.

What Happens Next?

  • 1. 30-Min Technical Scoping Call We deep-dive into your required LTI 1.3 standards, IRT parameter rules, and security profiles.
  • 2. Free Architectural Draft Taylor Basilio drafts a preliminary database isolation map and sprint estimation sheet.
  • 3. Week 2 Squad Mobilization Your dedicated senior developer pod kick-starts live sprints with direct CI/CD configuration.