What Makes AI-Assisted Writing "Authentic"? A Q-Methodology Study
Role: First Author
Identified four empirically distinct instructor orientations toward writing authenticity in AI-mediated contexts — with direct implications for assessment rubric design, faculty development, and institutional AI policy. Study uses Q-methodology with 25 university instructors across 13 Chinese provinces.
Evidence: Manuscript under peer review; 4 retained factors; findings extend existing authenticity theory in AI-mediated educational contexts.
AI IntegrationNeeds AnalysisEvaluation
View research case
Systematic Reviews to Design Principles Playbooks
Role: Lead Evidence Synthesizer + Translational Writer
Produced systematic reviews on GenAI and learning outcomes, then translated findings
into practical principle sets.
Evidence: Reusable evidence maps for faster instructional decision-making.
Needs AnalysisEvaluation
IU Chinese Flagship (COVID): Remote Tutoring Ecosystem Case
Role: Program Contributor, Educator, and Case Co-Author
Documented blended support models and tutor training logic for emergency remote and
hybrid language learning.
Evidence: Transferable implementation lessons for sustainable remote tutoring.
Content OpsEvaluation
Online Teacher PD for Cultural/Linguistic Responsiveness
Role: Systematic Review Author
Synthesized studies to identify design patterns that improve inclusivity in online
teacher professional development.
Evidence: Actionable guidance for inclusive program decisions.
Needs AnalysisEvaluation
NSF T3-CIDERS: Train-the-Trainer Learning Design Support
Role: Evaluation, Instructional Design, and Material Development Contributor
Designed evaluation instruments, instructional materials, and transfer-support resources for a
multi-institution NSF train-the-trainer program preparing educators to bring cyberinfrastructure
skills into cybersecurity classrooms. Led DBR documentation across four iterative cycles.
Evidence: Published at PEARC '25; 8 refined design principles; DBR manuscript in preparation for BJET/ETR&D.
Content OpsEvaluation
View case study
PeteGPT (RAG Learning Assistant) Collaboration
Role: Design Collaborator
Contributed to RAG learning assistant framing with emphasis on source grounding,
responsible AI use, and academic integrity.
Evidence: Practical pattern for integrity-oriented AI support in learning contexts.
AI IntegrationNeeds Analysis