This year’s theme, From Access to Achievement: Driving Student Success with Digital Learning, explores how digital learning supports student engagement and success. Connect with educators and digital learning professionals to share ideas and discover practical strategies for accessible course design, innovative technologies, and inclusive teaching practices.

Opening & Welcome | 9:30 – 10:00 a.m.
Presented by: Dr. Erasmus Addae
Thursday Virtual Sessions
Professional Development: one hour for each session attended. Each tab includes a session description.
Session 1 | 10 – 10:50 a.m.
Session 1.1 | Presented by: Alexander Katrompas, PhD | AI & the Future of Teaching
The AI-Integrated Classroom: Require AI, Preserve Intellectual Agency
What happens when AI use is required rather than prohibited? This session presents the AI-Integrated Classroom, an instructional model that treats generative AI as part of the learning environment while preserving human understanding, judgment, verification, and responsibility. Using examples from redesigned college courses, the session will examine assignment design, assessment, process evidence, AI-assisted grading, and the concept of Intellectual Agency. Participants will leave with practical approaches for integrating AI without reducing learning to either AI detection or unrestricted answer generation.
Session 1.2 | Presented by: Stephanie Bogdanich, Dr. Lauren Montagnino | Quality, Accessibility & Student Success
Making Blackboard Feedback Clear, Human, and Inclusive
Feedback can motivate students to improve, but unclear or impersonal comments can also reinforce anxiety, mistrust, and disengagement. In this interactive session, explore how first-generation, neurodivergent, Hispanic, Gen Z, and adult learners may experience academic feedback differently. Using Wise Feedback, Validation Theory, and Universal Design for Learning, we will connect research-based practices with Blackboard tools such as rubrics, inline annotations, audio and video feedback, peer assessment, and automated messages. Participants will leave with practical strategies for making feedback clearer, more human, and more supportive of belonging and student success.
Session 1.3 | Presented by: Terry Barksdale | Student Engagement & Belonging
An AI Tool that Plans for Students' Success: Gemini Notebook
Using Gemini Notebook (formerly NotebookLM) helps students orient themselves quickly to your course. By only loading Instructor-provided resources, like the syllabus, detailed course calendar, grading rubrics, assignment prompts, OER Textbook link(s), pdfs of supplemental reading, chapter summary slides, the student can ask questions of the resources with confidence.
Keynote Speaker | 11 – 11:50 a.m.

Futures by Design: Empowering Educators and Learners in the AI Era
Presented by: Dr. Maricel Lawrence
Session 2 | 1 – 1:50 p.m.
Session 2.1 | Presented by: Kristina Sims, Brittany Karrick | AI & the Future of Teaching
What if AI could give instructors more time to focus on teaching while providing students with meaningful, real-time feedback? In this session, educators will explore how to leverage Instructional AI to strengthen feedback, deepen engagement, and support student success. Using Packback’s latest AI-powered features, including Peer Review and AI-integrated assignments, attendees will discover strategies for thoughtfully incorporating AI into the classroom while keeping the human element of teaching at the center.
Session 2.2 | Presented by: Sandy Kendell | Quality, Accessibility & Student Success
Design for Accessibility from the Start: How & Why
Are you reeling from all of the accessibility issues you’ve had to remediate in your digital course materials? Want to mitigate the stress of this ongoing responsibility? Then this is the session for you! Move beyond feeling burdened by compliance to understanding how to build accessibility into your content while you are creating it as well as the impact your efforts can have on student success. This session is perfect for anyone who is new to the concept of digital accessibility or who wants to be more proactive rather than reactive when it comes to accessibility requirements.
Session 2.3 | Presented by: Vijay Jacob, Lani Dame, April Garcia | Student Engagement & Belonging
Designing for What’s Next: Helping Students Make Meaning
“I’m learning—but what does all of this mean for me, and where do I go next?” What if we designed more learning experiences around that student question? Using ACC’s STRIDE approach and Strategies for Today’s Jobs redesign as a case study, we’ll explore how student-centered design and futures thinking can help learners make meaning, see connections, and navigate what comes next. An ACC student will share how intentional design turned reflection into clarity and action. Participants will explore what happens when we design from the student experience and apply that lens to something they already teach.
Session 3 | 2 – 2:50 p.m.
Session 3.1 | Presented by: Toño Ramirez | AI & the Future of Teaching
The AI Suspicion Meeting: Tools and Tips
The first step in the ACC academic integrity process involves a real-time conversation between student and instructor. Because these conversations are often surrounded by strong emotions, it can be helpful to introduce tools that maintain their focus, aims and outcomes. This presentation will introduce a tool that can be modified in accordance with individual instructor pedagogy, and that can assist both in facilitating and documenting student meetings pertaining to the suspected use of generative AI in violation of course policy.
Session 3.2 | Presented by: Courtney Mlinar | AI & the Future of Teaching
The Smart Classroom: Driving Student Success with Purposeful AI Selection
AI tools are changing today’s workplace and our classrooms. Move beyond the AI hype with a practical roadmap for thoughtfully integrating AI to elevate teaching and learning. We will explore how to empower students to use AI tools as supportive study partners—enhancing their understanding rather than doing the work for them. Additionally, discover how educators can reclaim valuable time by streamlining lesson preparation with the right AI tools. Join us to build a smarter classroom where intentional AI selection drives genuine student success.
Session 3.3 | Presented by: DeEadra Albert-Green, Skyler Kawalek, Andrew Jezisek, Liudmyla Osadcha, Clarrissia Monroe | Quality, Accessibility & Student Success
One Team, One Student: First-Year Results from an Integrated Embedded Support Model
Combining embedded tutoring, supplemental instruction, and academic advising within the same course sections is rare — and rarely measured. In Year 1, ACC’s Advancing Student Success pilot embedded all three supports across six high-DFW gateway courses serving 250 students. Engaged students saw an 8.8-point drop in DFW rates and a 72% course success rate, versus 63.2% for non-engaged peers in the same sections. This session shares first-year outcomes, implementation lessons — including tracking-system pitfalls — and a faculty-endorsed model (4.25/5 satisfaction) for turning access into achievement.
