AI for the Educators: Module 3: AI for Administrative Tasks & Personalized Learning
Posted by anne.grey | Start the discussion
Presenter: Sibai Li.
Summary
In this third module of the AI for Educators series, Sibai Li demonstrates practical ways educators can use artificial intelligence to reduce administrative workload and create more personalized learning experiences for students. The session explores AI as an educational co-pilot that can support routine tasks while keeping educators at the center of teaching and decision-making. Participants examine tools for drafting emails and announcements, adapting messages for different audiences, scheduling meetings, summarizing information, and creating course FAQ chatbots. The presentation also shows how AI can support personalized learning by developing study guides for different skill levels, creating adaptive learning paths, providing guided problem-solving, and offering students additional ways to review course content. Hands-on examples feature tools such as Google Gemini, NotebookLM, ChatGPT, and Claude. The session concludes with guidance for responsible AI use, including protecting student data, checking AI-generated content for accuracy and bias, and using AI to support learning rather than simply provide answers.
Presentation Slides: AI for Administrative Tasks and Personalized Learning
Presentation Outcomes
- Identify ways AI can reduce time spent on routine administrative tasks such as emails, announcements, scheduling, meeting summaries, and frequently asked questions.
- Use AI tools to adapt communication for different student needs, including changes in tone, reading level, language, and format.
- Explore AI-supported approaches to personalized learning, including adaptive study guides, virtual teaching assistants, guided problem-solving, and customized learning resources.
- Practice using tools such as Google Gemini, NotebookLM, ChatGPT, and Claude for administrative and instructional tasks.
- Apply effective prompting strategies by providing clear context, examples, audience information, and specific requirements, then refining results as needed.
- Recognize key responsibilities when using AI in education, including data privacy, accuracy, bias, and academic integrity.
Post generated by CTLE Web Designer Gem on 08/16/2026
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