tool for fostering mutual accountability, navigating“ productive tensions,” and encouraging collective learning. Participants will explore strategies for implementing community agreements in classrooms, faculty spaces, and broader institutional settings. Through reflection and dialogue, we will consider how, even amid the current sociopolitical climate, we can center the classroom as a space of radical possibility( hooks, 1994), exploration, and shared growth.
Session Objectives: 1. Describe the core principles of critically compassionate learning communities. 2. Apply community agreements as a humanizing pedagogical tool to navigate productive tensions. 3. Develop community agreements that align with your pedagogical values 4. Evaluate how the community agreements framework can be used beyond the classroom.
Themes:
• Instructional strategies for supporting learner success
• Co-curricular strategies for supporting learner success
Audience:
• PK12 teachers and administrators
• Higher education faculty and administrators
Presenter: Quianna Daniels-Smart, PhD, LSW
Biographies: Dr. Quianna Daniels-Smart( she / her) is a professor of graduate social work at Moravian University. She earned her PhD from Sacred Heart University, where she received the Equity Activist Award and the Transformative Scholarship and Pedagogy Award. Her current research examines faculty development and inclusive teaching practices that support student retention in social work education. Dr. Daniels- Smart is a licensed social worker( LSW) with over a decade of experience, in multiple areas of social work practice. In addition, she currently serves as President-Elect of the National Association of Social Workers, PA chapter.
2.5 Teaching With AI: Supporting All Learners Through Intentional Design
Session Description: As AI becomes more common in higher education, many instructors are unsure about how to respond, especially when trying to balance academic integrity with inclusive, engaging teaching. This session focuses on using AI intentionally to support how students learn, rather than avoiding or policing it. Drawing on classroom examples and lived teaching experiences, we’ ll explore simple ways AI can enhance engagement while still centering reflection, judgment, and student voice. Participants will leave with practical strategies for supporting diverse learners and designing learning experiences that work with AI, not against it.
Session Objectives: 1. Evaluate how AI can support learning rather than replace it. 2. Explore ways to design assignments that encourage engagement, reflection, and access for diverse learners. 3. Utilize AI transparently while keeping human thinking at the center.