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Verified Scholar Profile

Demo Learning Scientist

Learning science, assessment design, accessible instruction, and evidence-centered course engineering

Learning scienceAssessment designArtificial intelligence educationAccessible pedagogy

Teaching and research biography

This demonstration Scholar Profile shows how Efibb records teaching expertise, research-linked sources, accessibility capability, independent review, and reusable learning artifacts. It is intentionally labeled as a platform demonstration and does not claim affiliation with a real university or external institution.

Published Knowledge Studios

Version 1

Accessible Multilingual Assessment Studio

A governed studio for translating, adapting, and validating assessments without hiding source meaning, accessibility decisions, reviewer conflicts, or version history.

  • Separate translation from construct change
  • Document accessibility accommodations
  • Detect biased or ambiguous items
  • Publish reviewer and version evidence
Open studio summary
Version 1

Evidence-Centered AI Course Engineering

A living studio for building AI courses whose outcomes, sources, assessments, accessibility, localization, and human-review decisions remain attributable and versioned.

  • Design measurable AI learning outcomes
  • Map assessment evidence to each outcome
  • Document AI assistance and human review
  • Publish accessible and localizable learning artifacts
Open studio summary
Version 1

Global Student Research Replication Lab

A source-linked studio where learners reproduce educational or technical results, record methodology and uncertainty, and earn reviewable evidence instead of merely consuming a lecture.

  • Frame a reproducible question
  • Build a transparent method log
  • Compare results without overstating causality
  • Publish limitations and evidence
Open studio summary

Expert clinics

Live expert clinic$25.00

Design AI Assessments That Measure Learning, Not Prompt Tricks

A demand-pooled clinic for instructors building authentic AI-era assessment evidence, accessibility, human review, and transparent AI-use boundaries.

AI assessmentacademic integrityevidence-centered design

5 learner demand floor • 20 scholarship seats • 0 aggregated questions

Open clinic