How to Create Collaborative Group Activities with AI in Your Classroom

Collaborative learning is a cornerstone of effective education. It helps students develop teamwork, critical thinking, and communication skills. And with the evolution of technology, teachers can now elevate their collaborative group activities using AI.

Let’s dive into a step-by-step guide on how teachers can successfully use AI to conduct collaborative group activities in classrooms.

How to Create Collaborative Group Activities With AI: Step-by-Step

Creating collaborative experiences in the classroom can be smooth and effective when AI is integrated thoughtfully. Here’s how you can do it:

Step 1: Define the Activity & Learning Goal

At the start of any class, you like to keep the objectives clear, right? The same theory applies when feeding data to AI. Clarify what your students should achieve by the end of any group activity, so AI can suggest activity ideas accordingly.

Practical Example:
A science teacher wants students to learn about plant life. They ask AI for activity ideas, and it suggests a group task where students draw a plant’s growth stages and explain them collaboratively.

Tips:

• The clearer and simpler the learning objectives, the better.
• Ensure AI-suggested group activities are understandable and feasible for students.

The Classroom Activity Generator in Extra Intelligence lets teachers quickly create personalised, curriculum-aligned collaborative activities, saving time and sparking student engagement.

Step 2: Analyse Student Strengths Using AI

Through AI, you can better understand your students’ abilities, participation levels, and learning preferences for balanced and meaningful collaboration.

Practical Example:
AI analyses classroom participation and identifies students who enjoy drawing, presenting, or hands-on tasks. Teachers can then form groups with complementary skills for a project on animal habitats.

Tips:

• Consider social and emotional strengths alongside academic skills.
• Mix students with diverse abilities to encourage peer learning.

Step 3: Form Groups Automatically

Creating collaborative group activities with AI is all about finding that balance between the groups for engagement. AI can suggest group formations based on students’ skills, energy levels, and participation styles.

Practical Example:
For a recycling project, AI forms four groups, ensuring each has confident speakers, hands-on learners, and students needing encouragement.

Tips:

• Rotate students across groups to build wider collaboration.
• Keep groups small to ensure each student has an active role.

Step 4: Assign Simple Roles & Tasks Using AI

Using AI’s varied datasets, you can assign tasks that align well with your students’ strengths, ensuring simplicity and collaboration.

Examples of Simple Assigned Roles:

• Collecting materials
• Drawing or creating visuals
• Explaining ideas to peers
• Organising the activity

Practical Example:
For a water cycle project: One student draws the stages, another labels them, and a third explains the chart to the class.

Tips:

• AI-assisted group activities in classrooms also require your input and fine-tuning to make the tasks more fun and collaborative.
• Encourage students to assist peers beyond assigned roles.

Step 5: Provide AI-Powered Learning Resources

What you feed into the AI is what it can classify and then generate as content. So, for teachers to efficiently use AI for creating collaborative group activities, you need to feed age-appropriate prompts, illustrations, and visual aids.

Practical Example:
For a project on animals, AI provides descriptions, fun facts, and visuals for inclusion in group posters.

Tips:

• AI will provide resources that you can use for activities. Use them as a means of guidance and not as finished work.
• Encourage discussion and interpretation of AI-provided material.

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Read More: AI in Personalised Learning

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Step 6: Facilitate Real-Time Collaboration

To make things more interesting and keep students engaged throughout the activity, AI can suggest questions, ideas, or challenges.

Practical Example:
While building a habitat model, AI prompts:

• “What do animals need to live here?”
• “Can you add something that helps plants grow?”

This keeps the energy going and allows for active participation from students.

Tips:

• Let students make decisions independently.
• Foster conversation and teamwork rather than just following AI prompts.

Step 7: Monitor Group Progress With AI

Using AI for collaborative group activities can also mean lessening the burden of tracking the progress of your activities. It can effortlessly track participation and engagement, helping teachers identify groups needing support.

Practical Example:
If a group hasn’t labelled their chart, AI alerts the teacher to provide gentle guidance.

Tips:

• Monitor discreetly to maintain student autonomy.
• Intervene only when necessary to support learning.

Step 8: Provide AI-Assisted Feedback

Collaborative learning is only possible when there’s room for feedback. AI can suggest constructive feedback for each group, highlighting strengths and areas for improvement.

Practical Example:
AI can suggest how each group performed — “Your group explained the water cycle clearly. Next time, add more detail to your visuals.”

Tips:

• Focus on teamwork and the learning process rather than just the outcome.
• Encourage reflection on experiences and lessons learned.

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Related Read: How to Give Effective Student Feedback

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Step 9: Conduct Reflection & Improvement

AI can generate simple reflection prompts to help students think about their contributions and collaboration.

Practical Example:
After each group activity, AI can ask simple but thoughtful questions like:

• What did your group do well?
• Which part was hardest, and how did you solve it?

Tips:

• Keep reflections short and age-appropriate.
• Use feedback to enhance future collaborative activities.

Step 10: Repeat & Optimise

AI-created collaborative group activities are nothing without a little refining. Use AI insights to refine future activities, adjust groupings, and introduce new task types based on engagement and outcomes.

Practical Example:
AI shows that mixed groups of active speakers and hands-on learners complete tasks faster and enjoy them more. You can use this insight for your next projects.

Tips:

• Adapt activities continuously to maintain engagement.
• Introduce variations to keep classroom collaboration fresh.

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Read More: AI in the Education Industry

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How Extra Intelligence by Extramarks Helps Create Collaborative Group Activities

Creating collaborative group activities with AI is possible, and Extramarks’ Extra Intelligence can help you take that first step with:

• Curriculum-Aligned Activity Generator: Quickly create K-12 collaborative projects.
• Student Strength Analysis: AI identifies strengths, learning styles, and participation levels.
• Automatic Group Formation: Balanced groups for meaningful collaboration.
• Task & Role Suggestions: Assign simple, age-appropriate roles based on student profiles.
• Real-Time Support & Prompts: Keep discussions active with AI-generated questions.
• Progress Tracking: Monitor engagement and intervene discreetly.
• AI-Assisted Feedback: Suggests personalised feedback for each student and group.
• Reflection & Optimisation: Guides teachers to plan better activities using AI insights.

Last Updated on November 3, 2025