The Geneva Learning Foundation

The Geneva Learning Foundation
The Geneva Learning Foundation

The Geneva Learning Foundation is a Swiss non-profit with the mission to develop, trial, and scale up new ways to lead change to tackle the challenges that threaten our societies. The Foundation’s unique approach to education as a philosophy for change fosters the emergence of self-motivated learners who become leaders for change. The podcast is a crossroads for a new kind of dialogue – and an opportunity to listen in. A broad range of topics are covered, ranging from immunization to women's health, noncommunicable diseases (NCDs), neglected tropical diseases (NTD), humanitarian response, digital communication, and leadership for learning. The common thread is the Foundation’s mission to support practitioners to find better ways to learn and lead to face the threats to our societies. Our podcast includes the best of our live-streamed content in a convenient, low-bandwidth audio format that you can listen to anywhere, any time.

  1. قبل يوم واحد

    Year in Review 2024: An AI-generated podcast about The Geneva Learning Foundation’s progress

    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.

    ٣٠ من الدقائق
  2. ١٢ جمادى الآخرة

    Malaria: Health workers share their experience at Teach to Reach 11

    To end malaria, we must empower the people closest to the problem – health workers in affected communities. A special event organized by The Geneva Learning Foundation (TGLF) in partnership with RBM Partnership to End Malaria brought together health workers from every malaria-endemic country to share firsthand experiences fighting malaria. Over 1,700 health professionals (619 francophone and 1,096 anglophone) registered for this bilingual event, which connected practitioners across language barriers from high-burden countries including Nigeria, DRC, Kenya, Ghana, Guinea, Niger, Côte d’Ivoire, and Cameroon. The partnership aims to integrate community-based health workers’ insights into global malaria elimination strategies. Health workers shared powerful testimonials and practical experiences: - Impacts of extreme weather and flooding on disease transmission patterns - Growing drug resistance concerns and supply chain disruptions - Innovative community engagement strategies for prevention - Successes and challenges in vaccine introduction - Cultural barriers to early treatment seeking - Local adaptations of bed net distribution methods - Strategies for reaching remote communities, especially during floods - Special approaches for protecting pregnant women and children This enabled meaningful exchange despite geographical and technological barriers. This innovative format aimed to enable authentic exchange of practical, experiential knowledge that complements scientific expertise, guidelines and plans. The event is part of TGLF’s peer learning to action process that includes: 1. Structured pre-event knowledge sharing through targeted questions 2. Direct exchange and network building during events 3. Post-event support to turn insights into action through facilitated planning and implementation For global health funders and malaria partners, this model offers a scalable approach to strengthening elimination efforts through locally-led action. Research has shown it can accelerate implementation of new approaches by up to 7x compared to traditional methods, with particular effectiveness in fragile contexts. The special event also demonstrated how digital platforms can enable meaningful practitioner exchange at scale. By connecting those closest to the challenges with those shaping global strategy, such exchanges help ensure malaria elimination efforts are grounded in local realities while building health workers’ capacity to lead change in their communities. This is a replay of the Special Event recorded on 10 December 2024.

    ١ س ١٥ د
  3. ١١ جمادى الآخرة

    Malaria: Health workers share their experience at Teach to Reach 11

    To end malaria, we must empower the people closest to the problem – health workers in affected communities. A special event organized by The Geneva Learning Foundation (TGLF) in partnership with RBM Partnership to End Malaria brought together health workers from every malaria-endemic country to share firsthand experiences fighting malaria. Over 1,700 health professionals (619 francophone and 1,096 anglophone) registered for this bilingual event, which connected practitioners across language barriers from high-burden countries including Nigeria, DRC, Kenya, Ghana, Guinea, Niger, Côte d’Ivoire, and Cameroon. The partnership aims to integrate community-based health workers’ insights into global malaria elimination strategies. Health workers shared powerful testimonials and practical experiences: - Impacts of extreme weather and flooding on disease transmission patterns - Growing drug resistance concerns and supply chain disruptions - Innovative community engagement strategies for prevention - Successes and challenges in vaccine introduction - Cultural barriers to early treatment seeking - Local adaptations of bed net distribution methods - Strategies for reaching remote communities, especially during floods - Special approaches for protecting pregnant women and children This enabled meaningful exchange despite geographical and technological barriers. This innovative format aimed to enable authentic exchange of practical, experiential knowledge that complements scientific expertise, guidelines and plans. The event is part of TGLF’s peer learning to action process that includes: 1. Structured pre-event knowledge sharing through targeted questions 2. Direct exchange and network building during events 3. Post-event support to turn insights into action through facilitated planning and implementation For global health funders and malaria partners, this model offers a scalable approach to strengthening elimination efforts through locally-led action. Research has shown it can accelerate implementation of new approaches by up to 7x compared to traditional methods, with particular effectiveness in fragile contexts. The special event also demonstrated how digital platforms can enable meaningful practitioner exchange at scale. By connecting those closest to the challenges with those shaping global strategy, such exchanges help ensure malaria elimination efforts are grounded in local realities while building health workers’ capacity to lead change in their communities. This is the English-language recording of the Special Event recorded on 10 December 2024.

    ١ س ١٥ د

حول

The Geneva Learning Foundation is a Swiss non-profit with the mission to develop, trial, and scale up new ways to lead change to tackle the challenges that threaten our societies. The Foundation’s unique approach to education as a philosophy for change fosters the emergence of self-motivated learners who become leaders for change. The podcast is a crossroads for a new kind of dialogue – and an opportunity to listen in. A broad range of topics are covered, ranging from immunization to women's health, noncommunicable diseases (NCDs), neglected tropical diseases (NTD), humanitarian response, digital communication, and leadership for learning. The common thread is the Foundation’s mission to support practitioners to find better ways to learn and lead to face the threats to our societies. Our podcast includes the best of our live-streamed content in a convenient, low-bandwidth audio format that you can listen to anywhere, any time.

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