Next-Generation AI Tools & Practices for Higher Education

Foundations of AI in Higher Education

- Understand the different types of AI and their practical applications within a Higher Education setting

- Recognise strengths, limitations, and misconceptions

- Learn when to use AI, and when not to

Streamline your Workflow

- Use AI to assist with meeting management for faculty, departments, and committees

- Automate email drafts and other correspondence

- Reduce manual workloads with automated data extraction and entry 

Mastering Prompts

- Learn how to get more out of AI tools

- Develop better prompts for emails, meeting notes, itineraries, and summaries

- Practice real scenarios to build understanding, confidence and speed

Privacy, Security and Ethics

- Understand potential privacy risks unique to tertiary environments

- Identify and mitigate bias in AI outputs

- Establish ethical AI practices that align with university policies and academic integrity

AI for Strategic Planning and Analysis

- Scenario planning, analysis and trend forecasting

- Navigate risks and myths when scaling AI use across teams

- Balance human judgment with AI-generated recommendations

Leveraging AI for Decision Support

- Extract key information from lengthy documents

- Cross-checking and validating AI outputs

- Enhance business reports, presentations, and speeches

Communications and Collaboration

- Optimise internal and public-facing communication with AI

- Tailor tone and style for different audiences and contexts

- Support team collaboration and workflows

Action Planning and Implementation

- Identify priority use-cases you can implement immediately

- Map out next steps for adoption and scaling across teams

- Build confidence in moving from “experimenting” to “embedding” AI practices