A recent study titled "Are Outstanding Researchers Also Top Teachers?" examined the relationship between research productivity and teaching effectiveness in higher education, shedding light on the so-called excellence paradox. The findings reveal that while highly productive researchers often excel in teaching due to their up-to-date knowledge enriching classroom instruction, they tend to receive lower teaching evaluations. https://www.sciencedirect.com/science/article/pii/S0038012124002982#sec5
The authors of the paper argue that this discrepancy likely stems from the heavy demands of research, which restrict the time and energy top researchers can invest in teaching. These scholars, consumed by their drive to push the boundaries of their fields, may simply deprioritize teaching. While this explanation makes sense, it's also possible that many of these researchers are simply not as interested in teaching, viewing it as secondary to their primary focus on research.
Still, if their hypothesis is correct, leveraging GPT could be a valuable solution to help alleviate the time constraints faced by top researchers. Interestingly, the University of Oslo (UiO) has already embraced AI innovation with a custom service called GPT UiO. Tailored to meet strict European privacy regulations (GDPR), this platform empowers both students and staff to harness GPT models for a wide range of academic and administrative purposes, including writing assignments, supporting research, and even programming tasks. https://www.uio.no/english/services/ai/teacher/
PS - Several prominent researchers, including two-time Nobel laureate in Physics John Bardeen, are reported to have preferred research to teaching. Bardeen was characterized as a reserved individual who tended to avoid the spotlight, including the classroom setting. Similarly, other Nobel laureates, such as Barbara McClintock in Medicine and Eric Betzig in Chemistry, have also articulated a preference for research over pedagogical responsibilities.
