Artificial Intelligence (AI) is reshaping higher education at an extraordinary pace. From personalized learning assistants to analytics dashboards, colleges are investing in AI faster than ever before. Yet one truth remains constant: no amount of technology will transform learning without human readiness. Faculty members are the heartbeat of any innovation. Their willingness to explore, experiment, and evolve determines whether AI becomes an empowering co-educator or an underused novelty. Building faculty readiness, therefore, isn't a side project; it's the foundation of sustainable AI integration.
Most students expect to see one professor at the front of the classroom throughout the semester. But for those attending Harvey Mudd College, a STEM-focused institution in California, it's not unusual to have four or more faculty members teaching one course. At Harvey Mudd, team teaching has been a distinguishing facet of the student experience for decades; most general education STEM courses for incoming students are taught by two or more professors.
The e-learning developer 1 plays a central role in this effort by collaborating with instructional designers, faculty and staff to design and deliver high-quality courses that meet compliance requirements and research-based standards. Beyond content development, the role supports faculty growth and creates opportunities to integrate new technologies, experiment with innovative solutions and strengthen both teaching and learning. This work ensures that students benefit from inclusive, engaging and flexible educational experiences in an evolving digital environment.
Sharing engaging and creative teaching experiences and how they impact students in a course is the goal of the Center for Teaching Innovation's " What Works: Creating Engaging Learning Experiences," a teaching showcase featuring faculty presentations and poster sessions. "What Works" will be held from 1-4 p.m. Oct. 1 in Rm. G10, Biotechnology Building, with an additional poster session from 4-5 p.m. The event is open to Cornell faculty, teaching staff and postdoctoral scholars and associates.
Getting faculty to experiment with new technology or pedagogy requires a supportive campus culture, group problem-solving, and empowerment to encourage innovation.
The Poorvu Center is seeking a new associate director to integrate quantitative methods into teaching, addressing the unique challenges of student quantitative literacy.