Educational Technology Fellows
The Educational Technology Fellows (Ed Tech Fellows) is a program that supports instructors in implementing educational innovation with technology. Annual cohorts collaborate with the Northwestern IT Teaching and Learning Technologies (TLT) team to bring their pedagogical projects to life, enhancing learning experiences for students and helping instructors achieve their teaching goals.
As a fellow, you will:
- Attend scheduled meetings and events to see experts demonstration new educational technologies or discuss new classroom teaching strategies.
- Collaborate with other fellows, engaging in meaningful interdisciplinary exchanges.
- Work on your project one-on-one with help from your TLT consultant.
- Explore opportunities to share your experiences and outcomes.
Program Structure
- In-Person Events (all meetings are from 11 AM to 12 PM):
- Friday, November 7
- Friday, December 5
- Friday, February 6
- Friday, March 6
- Monthly meetings with consultants and fellows.
- Location: Evanston campus, Main Library (hybrid option available).
- May: Attend TEACHx (optional)
- Upon project completion: Consider ways to present Ed Tech Fellow work at TEACHx, to colleagues, or via other avenues.
How to Apply
We welcome applicants from all campuses and programs, including adjunct instructors and graduate student instructors. The application involves summarizing your project idea, goals, and any steps taken so far (no prior work on the project is necessary). The application should take approximately 10 minutes to complete. Apply by October 20.
Topic Areas and Project Examples
Although the EdTech Fellows program is open to projects on all topics, during the 2025-26 program, we will give priority to the following topics:
- Ethical Considerations of AI in Education: Discuss the ethical implications of using AI in educational settings, including issues of privacy, bias, and the digital divide.
- Students' AI Literacy: Integration of AI into the learning process, familiarization of students with GenAI tools that will prepare them for future workforce demands.
- Active Learning with AI: Investigate how AI can be used to facilitate active learning strategies, such as interactive simulations and real-time feedback, to enhance student engagement and learning outcomes.
- AI in Educational Data Analytics: Examine how AI can analyze educational data to identify trends, predict student performance, and inform instructional strategies.
- Intelligent Tutoring Tools for Students: Investigate the implementation of AI-driven tutoring tools that provide feedback and support to students.
- AI-assisted course design for instructors: Explore how AI tools can support instructors in designing and developing courses by providing recommendations, automating administrative tasks, and enhancing instructional strategies.
Examples of AI-Enhanced Assignments
- Students compare prompts used across the class to verify output and evaluate the effectiveness of AI-supported learning for midterm preparation.
- Students practice professional correspondence with an AI sample stakeholder persona and receive feedback on clarity, organization, relevance, and use of sources.
- Students engage in world language conversation practice with an instructor-provided prompt persona that aids in typo detection and enforcing correct grammar before continuing.
Educational Technology Fellows
We thank all Educational Technology Fellows for their participation and contributions.
Fellows for the 2025-2026 Academic Year will be selected in November.