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Learning With GenAI - How Much is Too Much?

This module invites you to consider an important question: Does Generative AI help or hinder your ability to think and learn?

How to Learn with Intention

At the end of this section, you should be able to reflect on your own learning habits and develop approaches to use GenAI intentionally and effectively.

Now that you’ve seen how intentional learning builds on active learning and moves beyond passive consumption, it’s time to look inward.

GenAI can be a powerful and personalized learning tool, but only when used purposefully. It’s up to you to pause, reflect, and take ownership of how you engage with it.

Practicing double-loop learning means going beyond quick, surface-level answers. It involves examining the reasoning behind your choices and asking questions like:

  • When and why do I choose to use GenAI?
  • Do I use it it to think with me or instead of me?
  • Do I challenge the answers it gives, or accept them without question?
  • Is GenAI helping me think more critically, or just helping me get the job done?

The goal isn’t to avoid GenAI; it’s to develop strategies that keep you in control of your learning while still benefiting from what GenAI can offer.


Begin by reflecting on your learning habits. This short questionnaire will help you identify your patterns of GenAI use, spot risks of overreliance, and adopt approaches that strengthen critical thinking, reflection, and deep learning.

Reflect on Your GenAI Learning Habits

Why Critical Thinking Matters

As learning with GenAI becomes more prevalent, the ability to think critically has never been more important.

Critical thinking goes beyond recalling facts or making decisions based on intuition or anecdotal evidence. It is "an intentional, reflective process of analyzing, evaluating, and synthesizing information to make reasoned judgments or solve problems" 1. In other words, it's about digging deeper—questioning assumptions, identifying patterns, and considering different viewpoints - making judgments and solving problems based on sound reasoning. 

For example, when writing an essay on climate change, it's not enough to simply present facts. Thinking critically means sorting through scientific data, political viewpoints, and ethical considerations, then weaving them together into a clear, well-reasoned stance.

When applied to GenAI, critical thinking becomes even more essential. Used thoughtfully, GenAI can help extend your reasoning in two key ways:

  1. Pushing AI beyond surface-level tasks: Asking it to reason, explain, or explore multiple perspectives helps you actively practice analyzing, comparing, and questioning ideas—while staying in control of your learning.

  2. Approaching AI with curiosity and skepticism: Interrogating the information it provides moves you beyond passive consumption toward deeper understanding.


Whenever you use GenAI, pause to ask yourself:

  • Is this information accurate, biased, or incomplete?
  • What are the assumptions behind this argument?
  • What evidence supports or contradicts this idea?
  • How can I apply this insight in new or unfamiliar contexts?

In academic settings, critical thinking is the foundation of deep learning. It helps you move beyond surface-level understanding by challenging assumptions, engaging multiple perspectives, and making meaningful connections. When working with GenAI, remember, it’s your reflective engagement with the tool, not the tool itself, that strengthens your thinking.

Think Deeper with Bloom's Taxonomy

One effective way to strengthen your critical thinking when using GenAI is to level up your prompts with Bloom’s Taxonomy, a framework that organizes cognitive skills from basic recall to complex creation. 

Instead of asking GenAI to 'define' or 'summarize', use Bloom’s action verbs to encourage more complex thinking. Try prompts that ask GenAI to:

  • Analyze a case study
  • Evaluate competing arguments
  • Compare different perspectives
  • Design a new solution
  • Create an alternative approach

For example, rather than asking it to “Define photosynthesis,” try:
 Compare two theories of photosynthesis and evaluate which explains plant adaptation better.”

This approach helps GenAI generate richer more thought provoking responses, keeping you actively engaged and sharpening your own reasoning in the process.

In short, if you're using GenAI to learn, you need to develop a probing mindset, one that questions, explores and reflects.


Hotspot Activity: Practice Thinking Across Levels

Click on each hotspot below to explore how you can use GenAI to strengthen your thinking across different levels of learning, from remembering to creating. By prompting GenAI to analyze, evaluate, or synthesize, you’ll receive more meaningful responses and train yourself to think more critically about them.

TIP: The risk of overreliance on GenAI is highest at the lower levels of Bloom’s Taxonomy, where tasks tend to be more passive. At the higher levels, deeper, more meaningful engagement and reflection are required. Choosing your verbs wisely helps you move beyond surface learning and develop stronger critical thinking skills.



Source: This Bloom’s Image by Rawia Inaim, based on Bloom's Taxonomy of Learning, is licensed under a CC BY-SA (Attribution ShareAlike) license

 

Practical Strategies for Intentional AI Use

These strategies will help you offload cognitive tasks in ways that support, rather than undermine, your learning.

▶️ Set explicit learning goals

Clearly define what you want to learn or remember, whether it’s understanding a concept deeply or preparing for an exam. Setting goals helps you engage meaningfully with GenAI responses. For example, you might ask GenAI to explain a concept, then summarize it in your own words to reinforce memory and understanding.

▶️Offload to manage cognitive load, not avoid learning

It is fine to let GenAI handle lower-level tasks like organizing information or generating outlines, as long as you stay focused on the higher-level thinking. Use these tools to free up mental space so you can analyze, evaluate, and create. Avoid relying on GenAI in ways that limit your independent thinking or prevent you from grappling with complex ideas and forming your own judgments.

▶️Engage critically with AI Outputs

Don't copy and past GenAI responses directly into your work. Analyse and evaluate what it produces. Compare AI-generated content with course materials or credible sources, highlight what is useful, and correct errors and biases. Engage actively with GenAI outputs and, if you are allowed to use GenAI in you work, be transparent about how you used it and where. This maintains trust and upholds academic integrity.

▶️ Practice retrieval and reflection

Test yourself periodically. Ask, “What do I remember without asking AI?” Retrieval practice strengthens memory, while reflection helps you identify what you’ve truly learned versus what you’ve simply consumed.

▶️ Be mindful of what you offload

GenAI can handle surface-level tasks, but do not outsource the thinking that matters most. Ask yourself, "What parts of this task should I do myself to learn deeply?" Keep the essential mental work, like reflecting, reasoning, and making decisions, in your own hands.

 

1. Gerlich, M. (2025). AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Societies, 15(1), 6. https://doi.org/10.3390/soc15010006