Training highlight
This "Generative AI for Advanced Users" session equips university staff with practical skills to enhance workplace productivity. The first half explores AI-driven data analysis, enabling intuitive insights from university datasets. The second half covers AI-enhanced notetaking, video creation, research automation, and content originality verification. Through hands-on exercises, clear demonstrations, and relatable examples, participants learn to streamline teaching, research, and administrative tasks. The session emphasizes accessible workflows, avoiding technical complexity, and provides resources for continued learning, ensuring staff can confidently apply generative AI to improve efficiency and creativity in their roles.
Content Description
- Introduction to generative AI, highlighting its value for university tasks like research, teaching, and administration.
- Data analysis: Generating insights and visualizations (e.g., student metrics) using conversational prompts, no coding needed.
- Complementary data tool: Creating graphs and answering questions (e.g., survey results) with simple, intuitive queries.
- Notetaking: Capturing and summarizing notes (e.g., meetings, lectures) with AI-generated quizzes or recaps.
- Video creation: Producing engaging clips (e.g., course intros, promos) from text or images for educational or marketing use.
- Research automation: Finding and summarizing academic papers for grants, courses, or publications effortlessly.
- Originality checking: Verifying content (e.g., assignments) to ensure ethical use and academic integrity.
- Practical exercises: Analyzing datasets, summarizing notes, crafting videos, researching topics, and validating content.
- University scenarios: Evaluating budgets, recapping seminars, promoting programs, reviewing literature, and ensuring originality.
