This poster examines how educators can integrate traditional pedagogy with AI-enhanced teaching to cultivate inclusive, engaging, and ethically informed learning environments. Grounded in research on faculty AI readiness (Mah & Groß, 2024), ethical frameworks (Swindell et al., 2024), engagement outcomes (Gada & Chudasama, 2024), and assessment innovation (Madwe et al., 2025), it presents a human-centered model linking constructivist teaching with emerging AI tools. Key elements include faculty AI literacy, ethical guardrails, and practical applications for adaptive instruction, empowering attendees to apply an evidence-based instructional framework across disciplines.This poster examines how educators can integrate traditional pedagogy with AI-enhanced teaching to cultivate inclusive, engaging, and ethically informed learning environments. Grounded in research on faculty AI readiness (Mah & Groß, 2024), ethical frameworks (Swindell et al., 2024), engagement outcomes (Gada & Chudasama, 2024), and assessment innovation (Madwe et al., 2025), it presents a human-centered model linking constructivist teaching with emerging AI tools. Key elements include faculty AI literacy, ethical guardrails, and practical applications for adaptive instruction, empowering attendees to apply an evidence-based instructional framework across disciplines.This poster examines how educators can integrate traditional pedagogy with AI-enhanced teaching to cultivate inclusive, engaging, and ethically informed learning environments. Grounded in research on faculty AI readiness (Mah & Groß, 2024), ethical frameworks (Swindell et al., 2024), engagement outcomes (Gada & Chudasama, 2024), and assessment innovation (Madwe et al., 2025), it presents a human-centered model linking constructivist teaching with emerging AI tools. Key elements include faculty AI literacy, ethical guardrails, and practical applications for adaptive instruction, empowering attendees to apply an evidence-based instructional framework across disciplines.
