College of Education Data Day
The College of Education Data Day is an annual opportunity for faculty and staff to come together around data, evidence, and emerging issues that shape our teaching, research, learning, and work as a College. Each year, Data Day provides opportunities to learn from internal and external experts, examine relevant data and evidence, engage in discussion, and consider how what we learn can inform our decisions and practice.
Across four years, Data Day has evolved from examining our institutional data, to understanding our impact on the communities we serve, to exploring how policy shapes practice, and most recently to considering the implications of AI for higher education. Collectively, these events reflect the College’s commitment to using data, evidence, collaboration, and innovation to inform our work and strengthen our impact.
Data Day Themes
Our inaugural Data Day focused on gaining exposure to and examining institutional data. Participants explored TCU and College of Education data related to teacher candidates, teacher employment and retention, students and programs, tuition benefits, and the Diverse Learning Environment Survey.
Goal: Build familiarity with institutional data sources, examine and interpret institutional data, and identify insights that inform the College’s work.
The second Data Day took this work a step further by shifting our attention to external data and evidence of our impact on the K–12 communities we strive to serve. Sessions brought together school and community partners and explored ethical problem solving, inclusive practice, research, pedagogy, and communication.
Goal: Consider how our work connects to and impacts K–12 communities and how research, partnerships, and professional practice can turn insight into meaningful impact.
Data Day 2025 explored the relationship between policy, evidence, and educational practice. Sessions addressed policy and education, mental health, and College processes including cabinet roles, peer-review observation, and dispositions and the APPW process.
Goal: Examine how policy and evidence shape educational and institutional practice and create opportunities to consider how policy can be implemented and improved.
Data Day 2026 examined the rapidly evolving role of artificial intelligence in higher education. Sessions addressed TCU’s AI initiatives, AI-supported assessment and course evaluation, emerging instructional tools, AI in higher education, and critical questions about AI in the classroom.
Goal: Build shared awareness of the evolving AI landscape and consider its opportunities, challenges, and implications for teaching, research, learning, and College operations.