Karol Jia / 佳嵘
M.S.Ed. · Johns Hopkins
School of Education / 2025–26
Catonsville, MD · —
Shanghai, CN · —
> HI, I'M_

Karol 佳嵘 · M.S.Ed. researcher at Johns Hopkins

Generative AI · Learning Tech · Equity
I research
scroll for the long version ↓
rjia9@jh.edu view resume
// stream of consciousness · /var/karol/notes
01 — About

Who / what

I'm a graduate researcher at Johns Hopkins School of Education, working at the intersection of generative AI, learning technologies, and educational equity.

My current projects examine how multiagent LLM systems can scaffold clinical learning, and how structured exposure to AI hallucinations can train evaluative judgment in medical education. Separately, I have a first-author manuscript out for review on the emerging educational divide in the age of generative AI.

Currently based in the DC–Baltimore corridor. Previously studied at The Ohio State University (Fisher College of Business), where I graduated cum laude with majors in Marketing and a minor in History.

02 — Trajectory

Work / Study

01 Columbus, OH · 2021–24

Where it started

B.S. Marketing & History · Ohio State (cum laude)

Marketing and history got me asking how people decide, how institutions sell value — and who those systems quietly leave out. The equity question started here, before I had a name for it.

02 Columbus, OH · 2023–24

When access got real

Community-based research · Ride4Refugee Project

Ran transportation and needs research with the refugee community in Columbus, turned the findings into actionable recommendations, and planned solutions with the Central Ohio Transit Authority. "Who gets to reach opportunity" stopped being abstract — and pushed me toward education.

03 Baltimore, MD · 2025–present

Who bears the cost

M.S. Education research · Johns Hopkins

Now I study what happens when learning, judgment, and fairness collide with generative AI — and who ends up paying for it, across policy, classroom design, and the tools themselves.

03 — Résumé

The / long form

Research Interests
Areas

Generative AI in Education · Learning Technologies · Instructional Design · Educational Equity · Evaluative Judgment.

Education
Aug 2025 — Aug 2026

Johns Hopkins University

M.S. in Education · Baltimore, MD

Relevant coursework: Social Research; Statistics; Global Education Policy and Analysis; Qualitative Inquiry; Global Trends in Education.

Aug 2021 — Dec 2024

The Ohio State University

B.S. Business Administration · Fisher College of Business · Columbus, OH

Marketing major (GPA 3.85/4.0) · History minor (GPA 3.9/4.0).

Research & Professional Experience
2026 — present
Baltimore, MD

Researcher · Multiagent LLM Scaffolding for Simulated Clinical Consultations

  • Built and evaluated a multiagent large language model system that distributes patient interaction, tutoring, checklist monitoring, and final feedback across specialized agents to scaffold simulated medical consultations.
  • Found that multiagent scaffolding improved overall consultation quality — with gains concentrated in communication, empathic expression, and detailed information gathering — rather than in diagnostic correctness.
Nov 2025 — present
Baltimore, MD

Co-author · Hallucination-Aware Learning Research Project

  • Co-developed a Hallucination-Aware Learning (HAL) framework for generative AI use in medical education.
  • Examined how structured exposure to AI-generated errors may strengthen learners' verification skills, evaluative judgment, and critical engagement.
  • Integrated theories of productive failure, cognitive friction, and AI-supported learning design to conceptualize instructional responses to hallucination risks.
Oct 2023 — Feb 2024
Columbus, OH

Student Assistant · Ride4Refugee Project

  • Designed and distributed surveys to investigate transportation barriers and community needs among refugee populations in Columbus.
  • Synthesized qualitative and quantitative findings into a report with actionable recommendations for community stakeholders.
  • Collaborated with the Central Ohio Transit Authority on solution-oriented planning, gaining experience in community-based research and policy-adjacent program implementation.
Conference Presentations
Apr 17, 2026

"When Discipline Becomes Ambiguous Harm: Rethinking Responsibility in School Responses"

School of Education I.D.E.A.S. Conference · Johns Hopkins University · Baltimore, MD
Feb 28, 2026

"Who Bears the Cost of Verification? Generative AI, Educational Equity, and Policy Challenges Across Educational Systems"

WCCIET 2026 Annual Graduate Student Research Conference · George Washington University · Washington, DC
Manuscripts
Out for review

First-author manuscript

An education-side examination of the emerging educational divide in the age of generative AI — who has access, who learns to use it well, and what schools can do about it. Currently under peer review.

Honors & Awards
2024

Cum Laude · The Ohio State University.

  • Dean's List · 5 semesters
  • Allen Family Scholarship
Research Tools & Languages
Tools

Stata · SPSS · Qualtrics · Survey design · Zotero · Python · C++.

Languages

Mandarin Chinese (native) · English (fluent) · Cantonese (conversational) · Korean (basic).

A downloadable PDF version is coming soon.

Request CV via email
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— let's talk

Build the future
of equitable
education.

rjia9@jh.edu karoljia@proton.me