Reading for Deep Learning Design Lab

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.

Sessions and Dates

  • Session 1. February 19, 3-5pm | Understanding Reading for Deep Learning
  • Session 2. March 26, 3-5pm | Reading Assignment Design Studio
  • Session 3. April 16, 3-5 pm | Reflection and Evidence Analysis
  • Session 4 (optional). May 7, 3-5 pm | Community Sharing and Synthesis

Participants Will

  • Understand and assess factors driving students’ reading engagement.
  • Redesign one reading-based assignment in one course.
  • Pilot the redesigned assignment during the semester.
  • Gather light evidence of student engagement.
  • Reflect on outcomes with colleagues across disciplines.

Session Descriptions

Session DatesSession FocusPost-session Activity
Session 1
February 19, 2026
3-5pm

Understanding Reading for Deep Learning
What does it mean to read for learning in your discipline? 

How do students currently engage with assigned readings?

Implement a short, low-stakes activity to surface students’ reading practices, engagement, and challenges with one assigned reading.
Session 2 
March 26, 2026
3-5pm

Reading Assignment Design Studio
Redesign one reading-based assignment to support deep learning, with peer feedback and guided facilitation.

 

Implement the redesigned reading assignment and collect light evidence of student engagement.
Session 3
April 16, 2026
3-5pm

Reflection and Evidence Analysis
Examine student artifacts and experiences.

Reflect on what supported or constrained students’ engagement with readings.

Refine the reading assignment or instructional approach based on insights from implementation.
Session 4 (optional)
May 7, 2026
3-5pm
Community Sharing and Synthesis
Share lessons learned, remaining questions, and future directions for teaching reading for deep learning. 
Optional contribution of redesigned assignments or reflections to CTL teaching resources.

Participants Are Expected To

  • Attend at least three sessions.
  • Pilot one redesigned assignment.
  • Engage in reflection and community sharing.

Support

You will receive:

  • One-on-one support
  • Practical tools adaptable to different disciplines and teaching contexts
  • Optional support in assignment implementation in class

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.