Upcoming Preparing Tomorrow's Faculty for AI Integration: Lessons from a Graduate Teaching Course

This study examines the integration of artificial intelligence (AI) tools—specifically ChatGPT, Perplexity, and Microsoft’s Copilot—in a graduate-level course preparing future faculty members. Through a mixed-methods approach combining pre- and post-course surveys with structured observations, the researcher investigated how these AI tools influenced students’ engagement, learning outcomes, and development of teaching competencies. The study, conducted with graduate students in a University Teaching in Human Sciences course, revealed significant improvements in students’ AI knowledge and confidence in using AI tools for educational purposes. Findings indicate that while AI tools enhanced productivity and collaborative learning, their effectiveness depended heavily on structured facilitation and intentional integration with evidence-based teaching practices. The study provides insights into both the opportunities and challenges of incorporating AI in higher education pedagogy, particularly in the context of preparing future faculty members.

Authors

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2026-02-01
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Upcoming Preparing Tomorrow's Faculty for AI Integration: Lessons from a Graduate Teaching Course

Cynthia (Cindy) L. Miller
SHILAP Revista de lepidopterología
Artificial Intelligence in Healthcare and Education
article

Upcoming Preparing Tomorrow's Faculty for AI Integration: Lessons from a Graduate Teaching Course

Cynthia (Cindy) L. Miller
article en

Abstract

This study examines the integration of artificial intelligence (AI) tools—specifically ChatGPT, Perplexity, and Microsoft’s Copilot—in a graduate-level course preparing future faculty members. Through a mixed-methods approach combining pre- and post-course surveys with structured observations, the researcher investigated how these AI tools influenced students’ engagement, learning outcomes, and development of teaching competencies. The study, conducted with graduate students in a University Teaching in Human Sciences course, revealed significant improvements in students’ AI knowledge and confidence in using AI tools for educational purposes. Findings indicate that while AI tools enhanced productivity and collaborative learning, their effectiveness depended heavily on structured facilitation and intentional integration with evidence-based teaching practices. The study provides insights into both the opportunities and challenges of incorporating AI in higher education pedagogy, particularly in the context of preparing future faculty members.

SHILAP Revista de lepidopterología
Texas Tech University (US)
Decent work and economic growth
Openalex Percentile: Top 54%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.