A Human-Centered Framework from Cross-Disciplinary Faculty Experimentation to AI Integration in the Classroom

Leandro de Castro; Vinod Ahuja; Enas Awad; Md Baharul Islam; Ahmed Elshall; Colleen Robb; Daniel Rottig; Chrissann Ruehle; Marzhan Sypabekova; Maka Tsulukidze

doi:10.1109/ICALT68022.2026.00103

A Human-Centered Framework from Cross-Disciplinary Faculty Experimentation to AI Integration in the Classroom

Leandro de Castro, Vinod Ahuja, Enas Awad, Md Baharul Islam, Ahmed Elshall, Colleen Robb, Daniel Rottig, Chrissann Ruehle, Marzhan Sypabekova Maka Tsulukidze

Proceedings (IEEE International Conference on Advanced Learning Technologies), pp.337-339

07-06-2026

: https://doi.org/10.1109/ICALT68022.2026.00103

AI literacy

Artificial intelligence

Design methodology

Displays

Education

Educational institutions

faculty development

Friction

generative AI

higher education

Indexes

Indexing

Learning (artificial intelligence)

pedagogical framework

Printing

productive friction

smart learning environments

The rapid proliferation of generative AI in higher education has outpaced evidence-based pedagogical frameworks. This paper presents findings from a structured faculty fellowship in which ten instructors across seven disciplines integrated AI into their courses and documented their practices. Fellows were selected through a competitive application process evaluated by an internal committee using a formal 100-point rubric. The program ran throughout the 2025-2026 academic year with monthly cohort meetings and a common nine-dimension teaching note template. Inductive cross-case analysis of seven completed Fall 2025 teaching notes, validated through iterative team review, identified four convergent pedagogical patterns: framing AI as a thinking partner rather than an answer generator; prioritizing productive friction over frictionless automation; treating prompt literacy as a core competency; and identifying verification as a persistent student weakness. These patterns informed a six-pillar Teaching with AI (TwAI) Framework and its companion A-V-E-R design pattern. The framework is offered as a practice-grounded contribution to AI-driven pedagogy and smart learning environments, with ongoing validation planned for Spring 2026.

: A Human-Centered Framework from Cross-Disciplinary Faculty Experimentation to AI Integration in the Classroom
: Leandro de Castro - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
Vinod Ahuja - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
Enas Awad - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
Md Baharul Islam - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
Ahmed Elshall - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
Colleen Robb - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
Daniel Rottig - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
Chrissann Ruehle - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
Marzhan Sypabekova - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
Maka Tsulukidze - Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University,Fort Myers,FL,USA
: Proceedings (IEEE International Conference on Advanced Learning Technologies), pp.337-339
: IEEE
: 99386129862406570
: Department of Bioengineering, Civil Engineering, and Environmental Engineering; Department of Mathematics; Department of Health Sciences; Department of Computing and Software Engineering; Daveler & Kauanui School of Entrepreneurship; Department of Management
: English
: Conference proceeding