Artificial Intelligence in Graduate STEM Education
Problem
The extent to which artificial intelligence (AI) has been integrated into graduate STEM education and its impact on equity and diversity are unclear.
Graduate schools are focusing on ways to implement AI in administrative and academic processes and student experiences. While higher education leaders recognize the transformational power of AI, its use can produce both positive and negative impacts. AI’s ability to benefit some populations while disadvantaging others is particularly concerning. For example, AI may offer personalized instruction that aligns with diverse learning styles. However, it may also share biased information that perpetuates stereotypes.
With support provided by the Alfred P. Sloan Foundation (Grant Number: G-2024-22540), NORC researchers are working with U.S. graduate schools to ensure that AI innovations will strengthen the entire enterprise, including efforts to broaden success in science technology, engineering, and mathematics (STEM) education, and ultimately, participation in STEM careers.
Solution
NORC will survey STEM graduate school deans to produce a comprehensive portrait of AI policies, practices, and motivations.
NORC will survey deans who work at the top 300 STEM PhD-awarding universities to answer the following questions:
- What policies and processes are currently in place or being considered at the institutional level regarding the integration of AI into the management and practice of graduate education?
- What drives these policies and processes, and how do they address issues of equity, diversity, and inclusion?
- What community-grounded guidelines can universities use to assess the impact of AI applications to enhance diversity, equity, and inclusion in STEM fields?
Following data collection, we will produce a white paper summarizing survey findings and host a convening with institutional leaders to review and engage with study results.
Result
Our study will promote understanding of AI applications in graduate STEM programs and raise awareness of ways to ensure equity in AI implementation.
This study will produce a rigorous landscape analysis of current practices and motivations that are driving AI applications in graduate STEM education. In addition, NORC researchers will work toward creating graduate community-based guidelines for evaluating applications of AI as they evolve. With Alfred P. Sloan Foundation's support, this research aims to significantly advance the understanding of ways that AI can enhance graduate education while diminishing risks to equity.
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Project Leads
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Erin Knepler
Senior Research DirectorPrincipal Investigator -
Debra W. Stewart
Senior FellowCo-Principal Investigator -
Mehmet Celepkolu
Senior Data ScientistAI Subject Matter Expert