Insights from the Geneva Learning Foundation Podcast Por The Geneva Learning Foundation arte de portada

Insights from the Geneva Learning Foundation

Insights from the Geneva Learning Foundation

De: The Geneva Learning Foundation
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 Singular insights by and for the people who make global health. Health workers connect with peers and international partners to accelerate immunization and primary health care learning, service improvement and management strengthening. Produced by the Geneva Learning Foundation’s Insights Unit© The Geneva Learning Foundation Ciencias Sociales
Episodios
  • Year in Review 2024: An AI-generated podcast about The Geneva Learning Foundation’s progress

    Year in Review 2024: An AI-generated podcast about The Geneva Learning Foundation’s progress
    Jan 11 2025
    An AI-generated dialogue exploring The Geneva Learning Foundation’s progress in 2024 This experimental AI-generated podcast demonstrates a novel approach to exploring complex learning concepts through structured dialogue. Based on TGLF’s 2024 end-of-year message and supplementary materials, the conversation examines their peer learning model through a combination of concrete examples and theoretical reflection. The dialogue format enables exploration of how knowledge emerges through structured interaction, even in AI-generated content. Experimental nature and limitations: This content is being shared as an exploration of how AI might contribute to learning and knowledge construction. While based on TGLF’s actual 2024 message, the dialogue includes AI-generated elaborations that may contain inaccuracies. However, these limitations themselves provide interesting insights into how knowledge emerges through interaction, even in artificial contexts. Pedagogical value and theoretical implications: 1. Structured knowledge construction: The conversational format illustrates how knowledge can emerge through carefully structured dialogue, even when artificially generated. This mirrors TGLF’s own insights about how structure enables rather than constrains learning. 2. Multi-level learning: The dialogue operates on multiple levels: - Direct information sharing about TGLF’s work - Modeling of reflective dialogue - Meta-level exploration of how knowledge emerges through interaction - Integration of concrete examples with theoretical reflection 1. Network effects in learning: The conversation demonstrates how different types of knowledge (statistical, narrative, theoretical, practical) can be woven together through dialogue to create deeper understanding. This parallels TGLF’s observations about how learning emerges through structured networks of interaction. We invite listeners to consider: - How dialogue enables exploration of complex ideas - The role of structure in enabling knowledge emergence - The relationship between concrete examples and theoretical understanding - The potential and limitations of AI in supporting learning processes This experiment invites reflection not just on the content itself, but on how knowledge and understanding emerge through structured interaction - whether human or artificial. Your insights about how this format affects your understanding will help inform future explorations of AI’s role in learning. What aspects of the dialogue format enhanced or hindered your understanding? How did the interplay of concrete examples and reflective discussion affect your learning? We welcome your thoughts on these deeper questions about how learning happens through structured interaction.
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    30 m
  • Season’s greetings from The Geneva Learning Foundation (20 December 2024)

    Season’s greetings from The Geneva Learning Foundation (20 December 2024)
    Jan 10 2025
    We will publish a selection of your TGLF stories submitted by 5 January 2025. Looking ahead to 2025, we’re excited to build on this momentum together. While we know this is a difficult time for many colleagues, particularly those serving communities affected by crisis and conflict, we hope you can find moments of peace and connection. We deeply appreciate your commitment to learning and leading change. Together, we are showing that new ways of learning and connecting can strengthen health and hope in communities worldwide. More than that, we’re demonstrating that when we rethink how learning happens, we can unlock unprecedented possibilities for positive change. Wishing you renewed energy and inspiration for the journey ahead. Reda Sadki The Geneva Learning Foundation PS You can learn more from experiences shared on our YouTube, Telegram, LinkedIn, X/Twitter, Instagram, and Facebook channels. Are you following us?
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    4 m
  • Lancet Countdown X Teach to Reach

    Lancet Countdown X Teach to Reach
    Jan 10 2025
    Join us for this Teach to Reach dialogue between research and experience, with Dr Marina Romanello, the Countdown’s Executive Director. Register now for this special event https://bit.ly/TeachToReach11 The Lancet Countdown on Health and Climate Change brings the data. Health workers bring the stories. Teach to Reach is the world’s largest peer learning platform for health workers. 24,583 health workers – primarily government staff from Africa, Asia, and Latin America – on the frontlines of climate change and health joined the eleventh edition on 5-6 December 2024. How do The Lancet Countdown’s global findings align with what health workers observe first-hand in their communities? How might scientific data and health worker experiences combine to deepen our understanding of climate change’s health impacts?
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    1 h y 13 m
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