Teaching with AI
in Higher Education
Responsible Use
Innovative Practice
Transformative Learning
Program Overview
This professional learning program introduces educators to the essentials of educational research, including its purposes, types, and the use of existing evidence. Participants will build the knowledge and skills needed to design and conduct their own action research projects within their classrooms or schools. Through practical tools, ethical inquiry, collaborative problem-solving, and reflective engagement, the program supports school-based improvement and empowers educators to lead change in context.
Who is this for?
- Faculty and instructors seeking to integrate AI responsibly into their teaching practices.
- Academic developers and instructional designers supporting AI-enhanced pedagogy.
- Department chairs and program leaders promoting innovation in higher education.
- Graduate students and teaching assistants preparing for AI-augmented classrooms.
Partner With Us
- Schedule a consultation to discuss your organization's needs
- Explore flexible delivery options for your team or institution
- Request a customized program proposal and pricing
Modules at a glance
Module 1 – Understanding AI in Higher Education
This module introduces the foundations of artificial intelligence and its growing influence on teaching and learning in higher education. Participants explore core AI concepts, capabilities, and limitations while reflecting on ethical, cultural, and institutional implications. Through discussion and case studies, they examine how AI-driven innovations are reshaping learning environments and academic roles, building a balanced understanding of both opportunities and challenges.
Module 2 – Designing with AI - Innovation and Pedagogical Alignment
Focusing on pedagogy-driven innovation, this module demonstrates how AI tools can support instructional design, active learning, and creative exploration. Participants learn to align AI use with learning outcomes and educational frameworks, designing activities that foster engagement, personalization, and authentic learning experiences. Practical examples and guided tasks encourage critical reflection on how AI enhances effective teaching practice.
Module 3 – Assessment, Feedback, and Academic Integrity
This module examines how AI can be applied responsibly in assessment and feedback to improve learning and uphold academic integrity. Participants explore the use of AI tools for formative assessment, feedback generation, and grading support while considering transparency and fairness. The module also provides strategies for helping students use AI ethically and for designing assessments that promote integrity and originality in academic work.
Module 4 – Leading Transformative Learning with AI
The module invites participants to envision AI’s broader role in shaping institutional change and inclusive learning cultures. It highlights leadership practices that foster innovation, digital literacy, and ethical adoption across programs and departments. Through reflection and collaborative dialogue, participants consider how to lead sustainable, human-centered integration of AI that empowers both educators and learners.
Our programs are offered on a business-to-business basis and tailored to meet each organization’s unique needs. We invite institutions and partners to explore our offerings and reach out to discuss customized options. We also design new programs to address specific goals and emerging priorities.
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