Tag: AI@ACC

AI@ACC Panel 3: AI@Work: Faculty and Industry Perspectives

AI@ACC Panel 3 featured Beth Vaughn, Gwen Holford, Lani Dame, and Jennifer Houlihan in a lively conversation about how AI is reshaping workforce expectations and the skills our students need next. Mentimeter responses highlighted critical thinking, adaptability, and communication as key strengths.

View the session summary or watch the session recording to dive in deeper!

AI@ACC Panel Series is a four-part, cross-disciplinary, dialog-based conversation series developed through Austin Community College’s (ACC) participation in the AAC&U Institute on AI, Pedagogy, and the Curriculum. Grounded in national research, the series explores how artificial intelligence is shaping teaching, learning, assessment, and the future of work in higher education across teaching, support, and workforce roles.

Designed as a low-pressure entry point, this series centers real questions, lived experience, and diverse perspectives rather than tools, mandates, or hype. Ethical concerns, including bias, labor, environmental impact, and academic integrity, are acknowledged and respected throughout. No prior AI experience is expected. Questions and uncertainty are welcomed.

AI@ACC is a space for inquiry, not compliance. The series is exploratory and reflective rather than directive. While AI raises serious concerns, disengagement does not ultimately protect students. These conversations focus on helping educators and staff thoughtfully support students as they navigate evolving academic and workplace norms.

AI@ACC Panel 2: Talking to your Students about AI Ethics

AI@ACC Panel 2 featured Herb Coleman, Janey Flanagan, Susan Meigs, and Tina Buck in a thoughtful, energetic redesign chat where we dug into the new Blackboard AI Conversations tool. Mentimeter showed strong support for AI disclosure and clearer goals, with “everyone” claiming AI literacy as shared work.

View the session summary or watch the session recording to dive in deeper!

AI@ACC Panel Series is a four-part, cross-disciplinary, dialog-based conversation series developed through Austin Community College’s (ACC) participation in the AAC&U Institute on AI, Pedagogy, and the Curriculum. Grounded in national research, the series explores how artificial intelligence is shaping teaching, learning, assessment, and the future of work in higher education across teaching, support, and workforce roles.

Designed as a low-pressure entry point, this series centers real questions, lived experience, and diverse perspectives rather than tools, mandates, or hype. Ethical concerns, including bias, labor, environmental impact, and academic integrity, are acknowledged and respected throughout. No prior AI experience is expected. Questions and uncertainty are welcomed.

AI@ACC is a space for inquiry, not compliance. The series is exploratory and reflective rather than directive. While AI raises serious concerns, disengagement does not ultimately protect students. These conversations focus on helping educators and staff thoughtfully support students as they navigate evolving academic and workplace norms.

AI@ACC Panel 1: Talking to your Students about AI Ethics

AI@ACC Panel 1 brought together Alex Watkins, Toño Ramírez, Andy Kim, and Mavis Klemcke for a candid, laugh-a-little conversation about syllabus policies, student fears, and what transparency really means. Mentimeter results showed big love for openness and process over policing.

View the session summary or watch the session recording to dive in deeper!

AI@ACC Panel Series is a four-part, cross-disciplinary, dialog-based conversation series developed through Austin Community College’s (ACC) participation in the AAC&U Institute on AI, Pedagogy, and the Curriculum. Grounded in national research, the series explores how artificial intelligence is shaping teaching, learning, assessment, and the future of work in higher education across teaching, support, and workforce roles.

Designed as a low-pressure entry point, this series centers real questions, lived experience, and diverse perspectives rather than tools, mandates, or hype. Ethical concerns, including bias, labor, environmental impact, and academic integrity, are acknowledged and respected throughout. No prior AI experience is expected. Questions and uncertainty are welcomed.

AI@ACC is a space for inquiry, not compliance. The series is exploratory and reflective rather than directive. While AI raises serious concerns, disengagement does not ultimately protect students. These conversations focus on helping educators and staff thoughtfully support students as they navigate evolving academic and workplace norms.