takeaways from Advancing San Diego’s AI Best Practices event
In a regional economy where one in four local firms utilizes Artificial Intelligence (AI), it is essential that San Diego students be prepared with the skills necessary to maximize the use of AI. To address this need, Deloitte and San Diego Regional EDC convened nearly 50 faculty and administrators from Advancing San Diego’s Verified Programs to collaborate and workshop the future of AI implementation in higher education.
Six THINGS WE LEARNED:
Personalize learning and content
AI can revolutionize personalized learning by analyzing student performance data to identify areas where students need more support and adjust curriculum accordingly. Additionally, AI enables educators to quickly adjust to student needs by creating lecture materials, interactive learning modules, and more. This dual capability expands educators’ ability to create tailored content and saves time on resource creation, enhancing both the learning experience and instructional quality.
Streamline administrative tasks
AI tools can manage routine administrative tasks such as scheduling, grading, and responding to common student questions. This can reduce the administrative burden on educators, allowing them to concentrate more on teaching and mentoring, thereby improving overall efficiency.
AI literacy and prompt engineering
Understanding prompt engineering, the skill of constructing the right questions, can significantly enhance the utility of AI in educational settings. The way questions are framed can drastically impact AI responses and, if done properly, reduce the risk of “hallucinations,” AI-generated information that may be incorrect or outdated. This literacy ensures that these tools are used to their full potential, providing accurate and relevant information that supports learning objectives. It also effectively prepares students for jobs in San Diego’s innovation economy, which is already adopting AI at staggering rates .
Emphasize higher-order thinking
The integration of AI in education is shifting instructive approaches, emphasizing higher-order thinking skills outlined in Bloom’s Taxonomy. With AI handling lower-order tasks such as remembering and understanding information, educators can focus on fostering analysis, evaluation, and creation in students. This shift encourages deeper learning and critical thinking, preparing students for complex real-world challenges.
Establish effective governance frameworks
Integrating AI into education will require strong governance frameworks to address ethical concerns like bias and privacy, clear policies and guidelines for its use in assignments and assessments, and a regular process for evaluating and updating these frameworks to keep pace with the evolving AI landscape.
Mitigate bias and protect privacy
Addressing bias in AI training data is important for fair educational outcomes. Ensuring AI models are trained on diverse, representative datasets can improve accuracy and inclusiveness. Privacy concerns are also paramount; public AI tools can inadvertently use any input data for retraining, risking exposure of sensitive information. Enterprise-specific models, which do not learn off of private data, might offer a more secure solution for educational institutions.
To learn more and get involved in EDC’s work, contact:
Olivia Jones
Coordinator, Talent Initiatives