Alternative Title

Beyond the Basics: A Structured Faculty Development Model for Evaluating Generative Artificial Intelligence (GenAI) Research Applications

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)

Location

Sun & Surf I/II

Start Date

29-5-2025 2:00 PM

End Date

29-5-2025 2:25 PM

Publisher

University of Central Florida Libraries

Keywords:

Generative AI; Faculty development; Disciplinary expertise; Workshop series; Evaluation methods

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Workshops (Adult education)--Evaluation; Artificial intelligence--Research; Educational innovations--Evaluation

Description

As generative AI transforms academic work, faculty development initiatives often struggle to bridge the gap between generic AI overviews and discipline-specific needs. Rush University implemented an innovative three-part workshop series that paired disciplinary expertise with AI-focused educational guidance to help faculty critically evaluate GenAI tools for academic research. Moving beyond theoretical presentations, the series demonstrated AI's potential through mini-experiments in the following areas: AI-powered literature reviews, data analysis and visualization, and innovative uses as a peer reviewer and evaluator. This evidence-based approach to systematically testing AI systems advances faculty development beyond general awareness toward rigorous, discipline-specific evaluation.

Language

eng

Type

Presentation

Format

application/pdf

Rights Statement

All Rights Reserved

Audience

Faculty

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May 29th, 2:00 PM May 29th, 2:25 PM

Beyond the Basics: A Structured Faculty Development Model for Evaluating GenAI Research Applications

Sun & Surf I/II

As generative AI transforms academic work, faculty development initiatives often struggle to bridge the gap between generic AI overviews and discipline-specific needs. Rush University implemented an innovative three-part workshop series that paired disciplinary expertise with AI-focused educational guidance to help faculty critically evaluate GenAI tools for academic research. Moving beyond theoretical presentations, the series demonstrated AI's potential through mini-experiments in the following areas: AI-powered literature reviews, data analysis and visualization, and innovative uses as a peer reviewer and evaluator. This evidence-based approach to systematically testing AI systems advances faculty development beyond general awareness toward rigorous, discipline-specific evaluation.

Accessibility Statement

This item was created or digitized prior to April 24, 2027, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.