Learning
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IndividualGroup Activity
The AI-Generated Generative Knowledge Interview (GKI) guides learners through structured storytelling and experience sharing. AI first creates a short scenario or story (up to 500 words) that sets the stage for inquiry. Students then conduct live peer or expert interviews, asking and answering sets of questions to uncover real-world insights.
The process encourages learners to listen actively, question thoughtfully, and connect theory with practical contexts. After the interview, participants engage in reflection, analyzing patterns, challenging assumptions, and synthesizing new knowledge. This makes learning more interactive, dialogic, and grounded in authentic experiences.
Overall, this activity transforms passive learning into an engaging process of co-creating knowledge through dialogue.
Learners practice asking meaningful questions that go beyond surface knowledge.
Conducting and responding to interviews builds confidence and clarity.
Real-world scenarios make abstract concepts tangible.
Students critically examine assumptions and explore alternative perspectives.
Teams engage in mutual knowledge exchange and collective meaning-making.
YMetaconnect makes Generative Knowledge Interviews structured, reflective, and engaging:
By blending AI storytelling, live inquiry, and guided reflection, YMetaconnect ensures learners co-create meaningful knowledge while building critical thinking and communication skills.
Creates realistic situations tailored to the subject.
Provides guided questions to structure peer or expert interviews.
Offers post-interview reflection journals with targeted prompts.
Supports group discussions, experience sharing, and synthesis of insights.
Analyzes responses and highlights key learning patterns.
Learner
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Learner
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