How FeedbackFruits is helping educators move from AI uncertainty to confident, guided learning
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The new challenge of AI in education

AI tools like ChatGPT and Gemini are changing how students learn, but not always how they think.
As classrooms fill with AI-generated ideas, educators face a new challenge:

How can students learn to think with AI, not through it?

That’s the question behind FeedbackFruits AI Practice, a learning activity that helps educators guide AI use through structure, reflection, and feedback.

What Is AI Practice?

AI Practice is a learning activity within the FeedbackFruits Learning Design System.
It allows educators to design structured AI learning experiences where students interact with AI, reflect on its responses, and receive feedback, all within their LMS.

With AI Practice, students learn to:

• Interact with AI through instructor-designed prompts
• Reflect on the accuracy and bias of AI responses
• Discuss insights with peers
• ‍Receive guided educator feedback
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The result: students become critical and confident AI users, building literacy that goes beyond shortcuts or surface learning.

Why AI Practice matters

A Turnitin (2024) study found that 62% of educators feel “blind” to AI use in their courses.
Without structure, AI use happens out of sight, raising questions of integrity, fairness, and learning outcomes.

AI Practice solves this by making AI engagement visible and assessable.
It documents how students interact with AI, how they evaluate its reasoning, and what they learn through reflection.

As highlighted in the EDUCAUSE 2025 Horizon Report, building AI literacy is now a top priority for higher education. AI Practice turns that priority into practice.
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How it works

AI Practice follows a simple, guided workflow:

• Design the prompts – Educators create activities that align with course goals.
• Student–AI interaction – Students use AI to explore, answer, or analyze.
• Reflection – Students critique AI’s response and consider what they’ve learned.
• Peer dialogue – Students share insights and discuss results.
• Educator feedback – Teachers review reflections and provide targeted feedback with built-in analytics.

Every step builds critical awareness, ethical use, and reflection skills: the foundation of true AI literacy.
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AI Practice in action
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1- Read the instructions provided

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2- Begin the conversation - optionally, upload a file to serve as context for the discussion.

3- Submit the conversation when complete

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After submission, the activity can take different directions depending on its design. Teachers can monitor ongoing conversations and access analytics once submissions begin.
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Instructors may also choose to add additional steps, such as peer review or self-reflection, which follow the same structure and settings as other FeedbackFruits learning activities, including deadlines and anonymity options.

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Educators can go from template to live activity in minutes, no new tools, no extra setup. AI Practice is designed to be repeatable, scalable, and flexible for all levels of AI literacy. For more indepth information about the activity visit our help center.

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Integrating seamlessly with any LMS

AI Practice connects easily with:

• Canvas LMS
• Moodle
• Blackboard
• Brightspace
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Through secure LTI standards, educators can embed AI Practice directly into existing courses, no extra setup needed.

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Building AI Literacy, one reflection at a time

For educators, AI Practice brings visibility and structure.
For students, it builds confidence and critical thinking.
For institutions, it offers a scalable, research-informed way to teach AI literacy.

By turning AI use into a guided, transparent process, FeedbackFruits helps higher education move from AI uncertainty to AI fluency.
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“We’re not here to police AI use. We’re here to empower educators to teach it.”
— Bas Hintemann, Chief Revenue Officer, FeedbackFruits

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Learn more

• Book a demo
• Download our whitepaper
• Explore our resources hub

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