Biranchi Poudyal

Research in Practice

Projects

Case studies in policy analysis, empirical research, decision frameworks, technical systems and responsible-AI workflow design.

Technical Project Ongoing Live

Assignment Thinking Assistant

A live web tool that coaches students through structured thinking on an assignment — planning, questioning and evaluating their own reasoning — instead of generating answers for them.

Key insight — Asking structuring questions instead of drafting content was the design choice that kept the tool from quietly turning into an essay generator.

TypeScript · Web application · Prompt design · Vercel deployment

Last updated 28 July 2026

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Empirical Study Completed

Testing How University AI Governance Holds Up Under Pressure

A scenario-based method that tests whether a university's public AI-governance documents still produce an accountable decision as AI use moves from simple assistance toward more autonomous, delegated action.

Key insight — The most common weak point wasn't a missing rule — it was a named responsible role with no specific criteria, safeguards or review to back it up.

Document analysis · Scenario-based stress testing · Structured coding protocol · Independent reliability checking

Last updated 26 August 2026

Policy Analysis Completed

Do University AI Policies Actually Decide Cases?

A vignette-based test of whether the published policy environment at 20 Australian universities actually resolves common AI-assisted student behaviours, or leaves them ambiguous.

Key insight — Transparent, verified AI use was consistently the most clearly resolved by published policy — ambiguous or partially-disclosed use often wasn't resolved at all.

Vignette methodology · Structured policy classification · Dual-coder reliability testing

Last updated 26 August 2026

Technical Project In progress

AI Policy Extraction System

A Python pipeline using web extraction and the Gemini API to collect, structure and organise university AI-policy information, with human verification of every record.

Key insight — Every AI-extracted field is treated as a claim, not data, until a human checks it against the source — extraction speed never substitutes for verification.

Python · Web extraction · Gemini API · Structured JSON outputs · Human verification workflow

Last updated 28 July 2026

Framework Ongoing

Academic Integrity Decision Framework

A six-question framework that structures fair, consistent decisions about student generative-AI use in assessment.

Key insight — Separating disclosure failures from authorship failures stops honest, permitted-but-poorly-acknowledged AI use from being treated as contract cheating.

Conceptual synthesis · Case testing · Policy analysis

Last updated 28 July 2026

Workflow Ongoing

Responsible Human–AI Content Workflow

A documented, human-led workflow in which AI assists with drafting, organising, coding and formatting while humans remain responsible for meaning, accuracy, ethics and final approval.

Key insight — Most corrections happen at the verification stage, not the drafting stage — AI-assisted first drafts are rarely wrong in an obviously detectable way.

Workflow design · LLM-assisted drafting · Verification checklists · Documentation

Last updated 28 July 2026