Learning and
Teaching Hub
“Fostering a culture of teaching excellence and learning
to promote inclusion and academic success.”
The Learning and Teaching Hub is a dedicated Engineering faculty resource for ongoing professional development and communities of practice, instructional consultation and coaching, collaborative learning development, and effective use of learning technology and analytics. Explore the links below to access helpful resources and information.
Spotlight
Two AI Resources for FSE Faculty Teaching
Explore two new AI-focused Quick Reference Guides from the Learning and Teaching Hub: one helps you set clear expectations for student AI use, while the other introduces Syllabot, an ASU AI tool designed to answer common syllabus questions and save faculty time.
FSE Connections @ Centerpoint: Explore LTH, ETS, and GOEE
Start the semester with fresh ideas and new connections at the Learning and Teaching Hub Open House. Explore practical teaching resources, meet faculty coaches, connect with colleagues, and discover opportunities to support your teaching throughout the year.
Starting the Semester Strong?
Our popular Teaching at Fulton – Nuts & Bolts resource is worth a look, especially for recently hired faculty. Refreshed for the new academic year, this on-demand module brings together practical guidance and resources to help you navigate key teaching tasks and support your students throughout the semester.
News and Events
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“Building Better Courses Together”: Insights from Lindsey Lewandowski Robinson and Amy Janiczek
Lindsey Lewandowski Robinson, Senior Learning Experience Designer at the Learning and Teaching Hub, and Amy Janiczek, Manager, Design and Development at Western Governors University (former Learning and Teaching Hub team member), recently co-authored Building Better Courses Together. In the article,…
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How Do We Teach Adaptability? Insights from Engineering Practice and Research
Engineering educators widely agree that adaptability is essential for preparing students to thrive in a rapidly changing profession, and yet we still lack clear ways to define, teach, and measure it. This seminar presents findings from the NSF CAREER project,…
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Data-Driven EdTech Decisions Matter
Data-Driven EdTech Decisions Matter May 11th, 2026 By Chris Puddy, Learning Technologist “Are we choosing edtech tools based on evidence — or convenience?” I recently explored a resource from The Learning Accelerator on using data to drive more equitable edtech…
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From Hardwood to Higher Ed: Moving Beyond Assumptions
Change is inevitable. In engineering, we expect iteration, innovation, and responsiveness to new data. Yet in teaching, change can feel personal.
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Innovation through Engaged, Multi-Interest Partnership
This seminar examines how frontier technologies, such as artificial intelligence, can be ethically and equitably adopted through intentional collaboration between educators and researchers, and across systems, ensuring that innovation expands rather than narrows opportunity. It also explores how cross-functional and…
