Reading for Deep Learning Community of Practice is a cohort-based, semester-long program designed for faculty across disciplines who want to rethink how students engage with course readings.
It is grounded in the idea that when students disengage from readings or rely on shortcuts, including AI tools, this often reflects how reading is experienced by students, whether it feels overwhelming, lacks sufficient context, or does not yet feel meaningful. In many cases, students may also be unaware of the analytical reading strategies expected in a discipline.
By deep learning, we mean the human cognitive processes through which students actively construct meaning, make connections, reflect, and transfer ideas across contexts. This community focuses on designing reading assignments and classroom practices that support these processes.
Facilitators
The Reading for Deep Learning Faculty Community of Practice is facilitated by the Hilary Ballon Center for Teaching and Learning in partnership with the Center for Writing and is co-led by Neelam Hanif, Instructor of Writing, and Evgeniya Efremova, Director of the Hilary Ballon Center for Teaching and Learning.