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Enhancing AI Literacy: handling AI bias, hallucinations, and cognitive offloading

Template using interactive document to help students reflect on their use of generative AI and develop the metacognitive skills needed to integrate it effectively, covering key topics including AI bias, hallucinations, and cognitive offloading.
Created by:
Isaac Ka Chun WAN
The Hong Kong University of Science and Technology
Learning outcome
Prep time
Intermediate (10-30 min)
Learning tool
Interactive Document
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Why this learning activity?

Learning activities targeting high-order skills like this one can help you activate students more effectively. This learning activity will help you with:
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Build foundational AI literacy

Students will identify examples of biases and hallucinations in GenAI outputs by engaging with hands-on practice activities and reading materials, developing critical awareness of the limitations of generative AI.
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Metacognitive Strategies

Students will recall and apply key prompting and metacognitive strategies for effective AI integration by responding to structured discussion questions and reflecting on their own AI usage habits.
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Ethical AI Use

Students will evaluate their cognitive dependence on generative AI and develop a personal guideline for ethical, judgment-enhancing AI use by reflecting on the risks of cognitive offloading and over-reliance on GenAI.
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Activity setup

Enhancing AI Literacy: handling AI bias, hallucinations, and cognitive offloading

Start using this template

Activity steps

  1. Read instructions: Students review the activity instructions to understand the requirements and expectations.
  2. Social annotation: Students will read the articles attached about AI literacy and answer 4 question cards presented by the instructor. They will also participate in 6 discussion threads (required) created by the teacher as well as create their own and interact with peer threads as well. 
  3. Reflection: Students conclude the activity by writing a reflection that captures their key takeaways and insights from the exercise.
  4. Grading: Instructors assess students’ participation and assign a grade based on completion

Activity goals

This activity helps facilitate a flipped classroom approach to your teaching. When student engage with material prior to class there are several benefits:
  1. Read instructions: Students review the activity instructions to understand the requirements and expectations.
  2. Social annotation: Students will read the articles attached about AI literacy and answer 4 question cards presented by the instructor. They will also participate in 6 discussion threads (required) created by the teacher as well as create their own and interact with peer threads as well. 
  3. Reflection: Students conclude the activity by writing a reflection that captures their key takeaways and insights from the exercise.
  4. Grading: Instructors assess students’ participation and assign a grade based on completion

Learning tools

Interactive Document

Student-Content engagement to stimulate student success

In this activity

  • This template has a collection of articles about AI literacy in the interactive document. You can switch this with a document of your choice.
  • The activity integrates reading materials with a self-made app (HalluciHunt), allowing students to move beyond passive reading and engage with AI literacy concepts through hands-on practice "playgrounds" for testing.
  • Students explore peer responses within the discussion threads of the interactive document, comparing diverse answers and reflecting on their own habits when using AI — building both social learning and self-awareness.
  • The activity can be used as a pre-task before the lecture (recommended) or as a self-paced online exercise, with select questions adaptable for group discussion.
  • Anonymity is disabled by default so students can see who authored each post, though this can be adjusted.
  • The reflection section asks students to articulate what they have learned about bias, hallucinations, and inappropriate cognitive offloading, and to develop a personal guideline for ethical, judgment-enhancing AI use

Notable settings

Anonymity
Reflection
Grading

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