Jace Hargis
The purpose of this channel is to share ideas on active, meaningful teaching and learning in higher ed.
Transform teaching with evidence-based strategies and relevant AI integration.
Join Professors and experts in the science of learning Jace Hargis (PhD, 170+ publications) and Suzanne Galal (15+ years in pharmacy ed) as they demystify AI while sharing research-backed teaching strategies that are effective. Built for faculty who want to:
✓ Integrate AI tools confidently and ethically
✓ Save time with smart automation
✓ Boost student engagement
✓ Navigate AI pitfalls and maintain academic integrity
✓ Publish more efficiently by leveraging AI research tools
WHAT WE DELIVER: Actionable strategies you can implement immediately
HOW WE'RE DIFFERENT: Every method is grounded in peer-reviewed research
Subscribe and hit the bell for evidence-based strategies!
AI in higher ed: A global perspective of institutional adoption (Jin et al., 2025)
AI in Higher Ed with Galal and Hargis
AI SoTL Studio 1. Practical AI Examples to support faculty.
AI in Higher Ed Transforming Learning
New Zealand Food & Fibre Centre of Vocational Excellence (CoVE) Annual Conf March 2025 Hargis abbr
Hargis New Zealand conf March 2025 (25 minutes)
Hargis Sustainability trailer
Integrating Technology into Teaching
Productive Discussions
Andragogical Teaching Methods
iPadagogy
Active Learning March 2022
Academic Portfolios
Learning Theory for Student Engagement
Student Response Systems for Formative Assessment April 2022
Self Regulated Learning
How We Process Information
One Hour Hargis SEC TESOL
Hargis One Hour Inclusive Humanizing online
Hargis One Hour Video on Teaching as Research (TaR)
Hargis One Hour Video on Rubrics PBL
Hargis One Hour Video on PBL
Hargis One Hour Video on Self Regulated Learning
Hargis One Hour Video on Assessing Effective Teaching
Jace Hargis Online Learning Pecha Kucha
Neil Patkar Views on Learning
Rugby Scruggs Thoughts on Learning
Pecha Kucha Water, Waste Wellness
Water, Waste and Well Pecha Kucha
Kido Learning Glass