Welcome to the project webpage for TALens, an initiative funded by the University of Waterloo Teaching and Learning AI Fellowship Program. This project leverages artificial intelligence to revolutionize how Teaching Assistants (TAs) are trained, moving away from generic orientation and toward tailored, course-specific knowledge.
Project overview
In large university classes, student learning and academic satisfaction are directly linked to the quality of communication, instruction, and feedback they receive from TAs. While the University of Waterloo provides excellent centralized and Faculty-specific TA training, these programs are inherently generalized. They cannot address the unique, course-specific tasks, specialized knowledge, or precise grading criteria required across diverse disciplines. TALens bridges this critical gap by developing an AI-enabled tool that empowers instructors to generate tailored training modules aligned perfectly with their course's unique pedagogical context.
Key pedagogical innovation & AI components
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The Problem Addressed: Instructors face massive time constraints onboarding TAs within short timelines, a challenge worsened by changing course designs and TAs working across multiple distinct courses. Inconsistent TA preparation directly hurts student experiences and educational equity.
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The AI/Technology Solution: TALens uses a structured GenAI prompting strategy. Instructors upload standard materials (e.g., course outlines, assignment descriptions). The tool processes this data and prompts the instructor with targeted questions to clarify expectations, timelines, and required core skills.
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Human-in-the-Loop Design: Positioned securely at the intersection of AI capability and human expertise, the tool places instructors and TAs as primary knowledge creators. Built-in review processes ensure that all AI-generated outputs are accurate, practical, and highly relevant.
Project fellows
Dr. Elena Neiterman, Associate Professor, Teaching Stream, School of Public Health Sciences
Dr. Michelle Ogrodnik, Assistant Professor, Teaching Stream, Kinesiology and Health Sciences, Faculty of Health Teaching Fellow.
Dr. Abel Espin Torres, Assistant Professor, Teaching Stream, Faculty of Health
Transferability and broader relevance
TALens is built from the ground up with novice GenAI users in mind, prioritizing maximum accessibility and low technical barriers to entry. Whether an instructor is teaching an online statistics lab or a writing-intensive sociology seminar, the tool adapts to generate discipline-specific training workflows.
Anticipated outputs and project deliverables
As the project advances through its developmental phases, the team will publish and distribute a suite of practical tools for the broader UWaterloo community. Deliverables will be shared on this project website and via broader University-wide communication channels. Stay tuned!