Friday, December 8th, China time/Thursday, December 7th, EST
In the era of Artificial Intelligence (AI), there is a growing recognition of the implications of integrating AI into education. It is the time to discuss the opportunities and limitations, explore the use of AI in teaching and learning, and reimagine the future of higher education. The showcase will feature case studies of adopting innovative teaching and assessment strategies in response to the emerging technologies.
This university-wide event includes inspiring keynote speech, lightning talks, faculty-student panel discussions, guest talk, and networking sessions. Throughout the day, attendees will have ample opportunities to exchange ideas, gain insight into student perspectives, and share best practices with their peers.
Keynote Speech by Dr. Bryan Alexander watch the recording (slides)
Featured Faculty Lightning Talks watch the recording
Student and Faculty Panel: Navigating ethics, academic policies, and student needs in the age watch the recording
Guest Talk: Oral Exams: An Ancient Tool to Foster Learning in Modern Education watch the recording
Despite their over two-millennia existence, oral exams continue to be unfamiliar and daunting for many instructors and students in contemporary education. Instructors often grapple with challenges in designing and implementing oral exams, while students require more guidance on how to prepare effectively for these assessments beyond simply being informed of their format.
In this workshop, Dr. Huihui Qi will delve into the findings of an NSF-funded project focused on using oral exams to enhance students’ learning experiences. She will discuss the multifaceted advantages of oral exams, considering them as both an assessment tool and a feedback mechanism, and exploring their affective benefits. Furthermore, Dr. Qi will share her team’s experiences and resources developed to address the scalability challenges of oral exams. Finally, she will provide insights into the practical aspects of implementing oral exams, covering logistical preparations, strategies for preparing students effectively, and more.
This project received funding from the U.S. National Science Foundation under Award #2044472.
Innovation Building 3018, Duke Kunshan University
No.8 Duke Ave, Kunshan, Jiangsu, China, 215316
Email: dku_ctl@dukekunshan.edu.cn