Teaching Smarter, Not Harder:
Leveraging Generative AI for Learning with 5Ts and 3Rs

The 5 Key Themes (5Ts)

• Theme 1: Use Generative AI as Productivity Enabler
  Use generative AI for summarization tasks, automation of routine work and improvement of information access through natural language queries.
• Theme 2: Transparency Challenges Remain
  Be aware of generative AI’s limitations such as hallucinations and unreliable accuracy, non-transparency issues (also known as the “black box problem”), and potential biases built into large language models.
• Theme 3: Originality and Novelty Are Still Treasured
  Allow student ideation and creativity processes to emerge during lessons, and adapt assessment strategies to evaluate social and relational aspects of pedagogy, rather than for performative assessments.
• Theme 4: Keeping the User as an Important Learning Partner
  The effective and ethical use of generative AI depends heavily on informed users for responsible and inclusive outcomes.
• Theme 5: Continuous Need for New Competencies
  One should continuously update skills to remain relevant as AI capabilities expand.

The 3 Recommended Guidelines (3Rs)

• Re-Tune Assessments
  Incorporate interactive presentations, portfolios and digital-free components to fairly assess student work, with a focus on developing higher-order learning outcomes, such as creativity and critical thinking skills, when designing lessons and learning activities.
• Re-Educate on Data and AI Literacy
  Help teachers and students understand AI capabilities and limitations while teaching data literacy fundamentals, treating the nascent rise of generative AI as an opportune period for in-depth reflection and skills upgrading whenever possible.
• Re-Tweak Frameworks
  Develop consistent policies, even at school or community levels, around the use of AI that emphasize academic integrity and for AI tools to be reconsidered as integral tools to support – rather than replace – educators in higher education.