The Teaching with Technology Fellows program is designed to bridge pedagogy and technology, helping GateWay educators intentionally implement digital tools to enhance student engagement and success.
As a Teaching with Technology Fellow, Educators will:
Master Pedagogical Foundations: Learn to connect technology with instruction based on Derek Bruff’s Intentional Tech principles.
Explore Tech Tools: Discover the full suite of educational technologies available to our educators.
Receive Personalized Support: Partner with a CTLED staff member to design a custom technology plan for your classroom.
Share Insights: Share your insights and experiences with the GW educator community at a future CTLED event.
TTF is a year-long program that begins the week after accountability in May. Fellows learn about technology, apply it, and share it. This program is cohort-based and limited to 5-8 educators.
Program Timeline
April: Call for applications
May: Week of Learning (2 days asynchronous, 2 days in-person).
Summer: One-on-one design sessions with CTLED staff (flexible scheduling).
August-May: Implement technology in classes
December & May: Progress check-ins and peer collaboration. Specific dates are TBA
April or August: Showcase your work at a CTLED event or Educator Inservice.
Compensation
Eligible educators admitted to the program will be compensated for a total of 40 hours at the adjunct rate, structured as follows:
20 hours: Training and tech exploration in May, the week after accountability.
20 hours: Implementation, check-ins, and sharing through the following May.
Technology exploration is limited to licensed tools managed by the CTLED or MCCCD that are readily available for all educators. These tools are divided into 4 categories: interactive content, assessment/engagement, multimedia, and AI & Knowledge Management. See below for the tools being shared.
Interactive Content
ThingLink, Padlet, H5P
Assessment/Engagement
Slido, ScreenPal, H5P
Multimedia
Adobe Creative Suite, ScreenPal
AI & Knowledgement
NotebookLM, Chatbots, AI ethics