Project Coordinator-AI-Enabled Research and Pedagogical Innovation

Working Title Project Coordinator-AI-Enabled Research and Pedagogical Innovation Role Title Education Support Spec III Role Code 29144-FP FLSA Nonexempt Pay Band 04 Position Number 280W0863 Agency Northern VA Community College Division NV280-Exec VP Academic & Student Svs Work Location Fairfax County - 059 Hiring Range $35/hr Emergency/Essential Personnel No EEO Category 2-Professionals Full Time or Part Time Part Time Does this position have telework options? -Telework options are subject to change based on business needs- No Does this position have a bilingual or multilingual skill requirement or preference? Work Schedule Sensitive Position No Job Description

• Program & Data Review: Evaluate existing professional development programs, materials, and participant data.
• Research: Conduct research on relevant topics to guide project development.
• Assessment Instrument Design: Construct assessment tools, including surveys, interview protocols, and focus group guides.
• Data Collection & Collaboration: Partner with CATE and other college staff members to gather data from faculty participants.
• Data Analysis: Use AI to perform and validate comprehensive qualitative and quantitative data analysis on collected feedback.
• Reporting & Presentation: Synthesize findings into formal reports with actionable recommendations.
• Professional Development: Utilize train-the-trainer style methodology to train CATE staff and relevant college units to use AI for research design, data analysis, and human-in-the-loop validation.
• Content Development: Create faculty professional development materials in emerging technologies (e.g. GenAI) as well as evidence-based pedagogical strategies (e.g. TAD/TILT).

Special Assignments

May be required to perform other duties as assigned. May be required to assist the agency or state government generally in the event of an emergency declaration by the Governor.

KSA's/Required Qualifications

• Demonstrated understanding of high-impact, evidence-backed, student-centered pedagogies within higher education contexts, including the integration of emerging technologies like GenAI into teaching practices.
• Demonstrated understanding of instructional design principles, educational research methodologies, and both qualitative and quantitative data analysis.
• Ability to translate complex data sets and academic literature into actionable insights, clear reports, and engaging stakeholder presentations.
• Ability to work productively alongside departmental staff, faculty members, and institutional stakeholders to achieve project goals.
• Ability to apply logical sequences to analyze issues, resolve systemic challenges, and exercise independent, sound judgment.
• Ability to work autonomously with minimal supervision whilst acting as a collegial, effective member of a diverse team.
• Ability to effectively train, upskill, and support CATE staff, faculty, and college units on the technical application of AI tools in research and instructional contexts.
• Solid knowledge of standard business protocol, professional office systems, and administrative procedures.

• Experience in leveraging Artificial Intelligence and generative AI tools as an advanced methodology for research design, qualitative/quantitative data analysis, and human-in-the-loop validation.
• Experience in train-the-trainer style me