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#peerlearning — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #peerlearning, aggregated by home.social.

  1. @haraldschirmer ich stimme Dir sicher zu.
    Aber ich habe - leider - zu viele Menschen erlebt, die in dem jeweiligen Kontext so lange "herumgeschubst" wurden, dass sie schlicht nicht glaubten, dass für sie Veränderung und Lernen möglich sei - selbst wenn sie offensichtlich vieles gelernt hatten.
    Und gerade diese Menschen dürften mMn viel vom #peerlearning profitieren.

  2. Dank #clcamp26 denke ich seit gestern über #peerlearning nach.
    Ich habe Fragen:
    - Wie lassen sich Leute erreichen, die eher nicht online aktiv sind? Das Fediverse - sehr überschaubarer, oder?
    - Wie lässt sich die Führung in Organisationen überzeugen, dass die verwendete Zeit sinnvoll genutzt wird?
    - Wie lassen sich Menschen überzeugen, selber ins Tun zu gehen, die jahrelang paternalisiert wurden?
    - Wie lassen sich Dritte (Gerichte, Zertifizierer, ..) überzeugen, dass wirklich etwas gelernt wurd?

  3. @haraldschirmer
    Haben sogar #clc Beiträge aus vergangenen Jahre n hier im #Mastodon zum
    #peerlearning
    Hinterlassen 🤩

    ( oder suchst du anders ? )

  4. #Peerlearning gab es auf unserer Instanz noch nicht als #Hashtag - das können wir ändern - oder folgt dem Hashtag (auch wenn es noch nichts gibt) - um mitzubekommen, wenn etwas kommt

  5. #LastChance • #Today @ 3:00 pm EST

    The Community College Consortium for OER #CCCOER launches Open Exchange, a webinar series for open education peers to engage in informal, candid discussions about challenges and ideas—no recordings; just open dialogue.

    Register now to join and suggest topics!
    twp.ai/E6Dn6K

    #OpenEducation #OERCommunity #HigherEd #PeerLearning #CCCOER

  6. Register • November 19 @ 3:00 pm EST

    The Community College Consortium for OER #CCCOER launches Open Exchange, a webinar series for open education peers to engage in informal, candid discussions about challenges and ideas—no recordings; just open dialogue.

    Register now to join and suggest topics!
    twp.ai/E6DXp8

    #OpenEducation #OERCommunity #HigherEd #PeerLearning #CCCOER

  7. Video-Podcast »Gemeinsam wachsen: Peer Learning für Solopreneure« 01

    NEU: Video-Podcast rund um Peer Learning für Soloselbstständige und Freelancers

    doschu.com/2025/11/podcast-gem

  8. Video-Podcast »Gemeinsam wachsen: Peer Learning für Solopreneure« 01

    NEU: Video-Podcast rund um Peer Learning für Soloselbstständige und Freelancers

    doschu.com/2025/11/podcast-gem

  9. Video-Podcast »Gemeinsam wachsen: Peer Learning für Solopreneure« 01

    NEU: Video-Podcast rund um Peer Learning für Soloselbstständige und Freelancers

    doschu.com/2025/11/podcast-gem

  10. Video-Podcast »Gemeinsam wachsen: Peer Learning für Solopreneure« 01

    NEU: Video-Podcast rund um Peer Learning für Soloselbstständige und Freelancers

    doschu.com/2025/11/podcast-gem

  11. Video-Podcast »Gemeinsam wachsen: Peer Learning für Solopreneure« 01

    NEU: Video-Podcast rund um Peer Learning für Soloselbstständige und Freelancers

    doschu.com/2025/11/podcast-gem

  12. @floriandagner Danke für die Einblicke! Gibt es den in der #ByCS schulübergreifende Foren oder eine andere Möglichkeit Peers zu finden und auch asynchron zu kommunizieren ? Die Gruppe scheint ja eher über bestehende Kontakte entstanden zu sein oder täuscht der Eindruck? #peerlearning #peerfinder

  13. 🏆 WHAT MAKES OUR AI COURSE DIFFERENT?

    Unlike generic AI training, our 'Developing your AI Offering' course is built specifically FOR MSPs, BY MSPs:

    🌯 Custom Go-to-Market Approach:

    🤝 Peer Interaction & Networking:

    🛠️ Ready-to-Deploy Resources:

    🚀 Join the October 16th cohort and get the MSP-focused AI education you need!

    🔗 Reserve your spot: thirdtier.net/product/developi

    #MSPEducation #PeerLearning #GoToMarket #MSPCommunity #AITraining #MSPSuccess #ProfessionalDevelopment
    thirdtier.net/product/developi

  14. Save the Date: am 16.10. von 16:00-17:30 Uhr findet die erste Ausgabe des auf der #loscon25 angekündigten CONNECT Meetup statt. Das Meetup wird sich mit Themen rund um #lernOS, #Wissensmanagement, #CorporateLearning und #DigitalWorkplace beschäftigen. Im ersten Termin geht es um #PeerLearning mit dem #LearningCircle Konzept.

  15. Save the Date: am 16.10. von 16:00-17:30 Uhr findet die erste Ausgabe des auf der #loscon25 angekündigten CONNECT Meetup statt. Das Meetup wird sich mit Themen rund um #lernOS, #Wissensmanagement, #CorporateLearning und #DigitalWorkplace beschäftigen. Im ersten Termin geht es um #PeerLearning mit dem #LearningCircle Konzept.

  16. 💍#OER des Monats: Eine strukturierte Checkliste für das Onboarding neuer Tutor*innen in Tutorien, Übungen & Praktika – mit Themen wie Organisation, Aufgaben, Kommunikation, Einführungsgespräche, Rollenverständnis, Qualifizierungsangeboten & Peer-Formaten. Ideal zur Unterstützung in der hochschulischen Lehre.
    📄 Zum Material und Download: twillo.de/edu-sharing/componen

    #OERde #CCLde #hochschuldidaktik #OpenEducation #FediCampus #FediLZ #AcademiaEdu #AcademicMastodon #openscience #bildung #PeerLearning

  17. Auf der #loscon25 habe ich mit Christian und Shakil zum Thema " #PeerLearning groß machen" gepodcastet. Podcast ist verfügbar unter podcasts.cogneon.io/@loa/episo (und überall, wo es gute Podcasts gibt) und in die KI-Basierte Dokumentation eingebettet: cogneon.github.io/loscon25doku - viel Spaß damit!

  18. Die Moderator:innen Victoria Köstner und @haraldschirmer kurz vor Ende der #loscon25.
    Save The Date für die #loscon26: 30.06. - 01.07.2026
    #lernos #peerlearning

  19. Marcel Kirchner teilt seine Erfahrung mit einer erfolgreichen Peer Learning Initiative auf der #loscon25 #lernos #peerlearning

  20. @SimoneEngelhard und Benedict Meier erzählen von ihren Erlebnissen in der Session „Der Working-Learning Gap – Zwischen Alltagsstress und Lernanspruch“ auf der #loscon25 #lernOS #peerlearning

  21. @birgitlachner Aktuell noch in Planung : ich versuche eine #peerlearning Plattform auf #Moodle Basis zu erstellen. Die Idee baut auf dem #CLMOOC24 „Peerlearning groß denken“ auf. Es soll dem Wissensmanagement dienen und zwei Formate umfassen #learningcircle und eine #communityofpractice

  22. Many health leaders are highly analytical, adaptive learners who thrive on solving complex problems in dynamic, real-world contexts.

    Their expertise is grounded in years of field experience, where they have honed their ability to rapidly generate insights, test ideas, and innovate solutions in collaboration with diverse stakeholders.

    In January 2021, as countries were beginning to introduce new COVID-19 vaccines, Kate O’Brien, who leads WHO’s immunization efforts, connected global learning to local action:

    “For COVID-19 vaccines […] there are just too many lessons that are being learned, especially according to different vaccine platforms, different communities of prioritization that need to be vaccinated. So [everyone]  has got to be able to scale, has got to be able to deal with complexity, has got to be able to do personal, local innovation to actually overcome the challenges.”

    https://youtube.com/live/uvv-g0lXy4c

    In an Insights Live session with the Geneva Learning Foundation in 2022, she made a compelling case that “the people who are working in the program at that most local level have to be able to adapt, to be agile, to innovate things that will work in that particular setting, with those leaders in the community, with those families.”

    https://youtube.com/live/nCB20y49hBI

    However, unlike Kate O’Brien, some senior leaders in global health disconnect their own learning practices and their assumptions about how others learn best.

    When it comes to designing learning initiatives for their teams or organizations, these leaders may default to a more simplistic, behaviorist approach.

    They may equate learning with the acquisition and application of specific skills or knowledge, and thus focus on creating structured, content-driven training programs.

    The appeal of behaviorist platforms – with their promise of efficient, scalable delivery and easily measured outcomes – can be seductive in the resource-constrained, results-driven world of global health.

    Furthermore, leaders may hold assumptions that health workers – especially those at the community level – do not require higher-order critical thinking skills, that they simply need a predetermined set of knowledge and procedures.

    This view is fundamentally misguided.

    A robust body of scientific evidence on learning culture and performance demonstrates that the most effective organizations are those that foster continuous learning, critical reflection, and adaptive problem-solving at all levels.

    Health workers at the frontlines face complex, unpredictable challenges that demand situational judgment, creative thinking, and the ability to learn from experience.

    Failing to cultivate these capacities not only underestimates the potential of these health workers, but it also constrains the performance and resilience of health systems as a whole.

    The problem is that this approach fails to cultivate the very qualities that make these leaders effective learners and problem-solvers.

    Behaviorist techniques, with their emphasis on passive information absorption and narrow, pre-defined outcomes, do not foster the critical thinking, creativity, and collaborative capacity needed to tackle complex health challenges.

    They may produce short-term gains in narrow domains, but they cannot develop the adaptive expertise required for long-term impact in ever-shifting contexts.

    To help health leaders recognize this disconnect, it is useful to engage them in reflective dialogue about their own learning processes.

    By unpacking real-world examples of how they have solved thorny problems or generated novel insights, we can highlight the sophisticated cognitive strategies and collaborative dynamics at play.

    We can show how they constantly question assumptions, synthesize diverse perspectives, and iterate solutions – all skills that are essential for navigating complexity, but are poorly served by rigid, content-focused training.

    The goal is not to dismiss the need for foundational knowledge or skills, but rather to emphasize that in the face of evolving challenges, adaptive learning capacity is the real differentiator.

    It is the ability to think critically, to imagine new possibilities, to learn from failure, and to co-create with others that drives meaningful change.

    By tying this insight directly to leaders’ own experiences and values, we can inspire them to champion learning approaches that mirror the richness and dynamism of their personal growth journeys.

    Ultimately, the most impactful health organizations will be those that not only equip people with essential skills, but that also nurture the underlying cognitive and collaborative capacities needed to continually learn, adapt, and innovate.

    By recognizing and leveraging the powerful learning practices they themselves embody, health leaders can shape organizational cultures and strategies that truly empower people to navigate complexity and drive transformative change.

    This shift requires letting go of the illusion of control and predictability that behaviorism offers, and instead embracing the messiness and uncertainty of real learning.

    It means creating space for experimentation, reflection, and dialogue, and trusting in people’s inherent capacity to grow and create.

    It is a challenging transition, but one that health leaders are uniquely positioned to lead – if they can bridge the gap between how they learn and how they seek to enable others’ learning.

    Image: The Geneva Learning Foundation Collection © 2024

    https://redasadki.me/2024/06/30/why-health-leaders-who-are-critical-thinkers-choose-rote-learning-for-others/

    #adaptiveLearning #coCreation #criticalThinking #healthLearning #immunization #ImmunizationAgenda2030 #KateOBrien #leadership #learningCulture #learningStrategy #peerLearning

  23. By connecting practitioners to learn from each other, peer learning facilitates collaborative development.

    How does it compare to expert-led coaching and mentoring “fellowships” that are seen as the ‘gold standard’ for professional development in global health?

    Scalability in global health matters. (See this article for a comparison of other aspects.)

    Simplified mathematical modeling can compare the scalability of expert coaching (“fellowships”) and peer learning

    Let N be the total number of learners and M be the number of experts available. Assuming that each expert can coach K learners effectively:

    For N>>M×KN>>M×K, it is evident that expert coaching is costly and difficult to scale.

    Expert coaching “fellowships” require the availability of experts, which is often optimistic in highly specialized fields.

    The number of learners (N) greatly exceeds the product of the number of experts (M) and the capacity per expert (K).

    Scalability of one-to-one peer learning

    By comparison, peer learning turns the conventional model on its head by transforming each learner into a potential coach who can provide peer feedback.

    This has significant advantages in scalability.

    Let N be the total number of learners. Assuming a peer-to-peer model, where each learner can learn from any other learner:

    In this context, the number of learning interactions scales quadratically with the number of learners. This means that if the number of learners doubles, the total number of learning interactions increases by a factor of four. This quadratic relationship highlights the significant increase in interactions (and potential scalability challenges) as more learners participate in the model.

    However, this one-to-one model is difficult to implement: not every learner is going to interact with every other learner in meaningful ways.

    A more practical ‘triangular’ peer learning model with no upper limit to scalability

    In The Geneva Learning Foundation’s peer learning model, learners give feedback to three peers, and receive feedback from three peers. This is a structured, time-bound process of peer review, guided by an expert-designed rubric.

    When each learner gives feedback to 3 different learners and receives feedback from 3 different learners, the model changes significantly from the one-to-one model where every learner could potentially interact with every other learner. In this specific configuration, the total number of interactions can be calculated based on the number of learners N, with each learner being involved in 6 interactions (3 given + 3 received).

    The total number of interactions per learner is six. However, since each interaction involves two learners (the giver and the receiver of feedback), we do not need to double-count these interactions for the total count in the system. Hence, the total number of interactions for each learner is directly 6, without further adjustments for double-counting.

    Therefore, the total number of learning interactions in the system can be represented as:

    Given this setup, the complexity or scalability of the system in terms of learning interactions relative to the number of participants N is linear. This is because the total number of interactions increases directly in proportion to the number of learners. Thus, the Big O notation would be:

    This indicates that the total number of learning interactions scales linearly with the number of learners. In this configuration, as the number of learners increases, the total number of interactions increases at a linear rate, which is more scalable and manageable than the quadratic rate seen in the peer-to-peer model where every learner interacts with every other learner. Learn more: There is no scale.

    Illustration: The Geneva Learning Foundation © 2024

    https://redasadki.me/2024/02/28/how-does-peer-learning-compare-to-expert-led-coaching-fellowships/

    #coaching #CollectiveIntelligence #fellowships #globalHealth #mathematicalModeling #peerLearning

  24. A formula for calculating learning efficacy, (E), considering the importance of each criterion and the specific ratings for peer learning, is:

    This abstract formula provides a way to quantify learning efficacy, considering various educational criteria and their relative importance (weights) for effective learning.

    Variable DefinitionDescription SScalabilityAbility to accommodate a large number of learners IInformation fidelityQuality and reliability of information CCost effectivenessFinancial efficiency of the learning method FFeedback qualityQuality of feedback received UUniformityConsistency of learning experience Summary of five variables that contribute to learning efficacy

    Weights for each variables are derived from empirical data and expert consensus.

    All values are on a scale of 0-4, with a “4” representing the highest level.

    ScalabilityInformation fidelityCost-benefitFeedback qualityUniformity4.003.004.003.001.00Assigned weights

    Here is a summary table including all values for each criterion, learning efficacy calculated with weights, and Efficacy-Scale Score (ESS) for peer learning, cascade training, and expert coaching.

    The Efficacy-Scale Score (ESS) can be calculated by multiplying the efficacy (E) of a learning method by the number of learners (N).

    This table provides a detailed comparison of the values for each criterion across the different learning methods, the calculated learning efficacy values considering the specified weights, and the Efficacy-Scale Score (ESS) for each method.

    Type of learningScalabilityInformation fidelityCost effectivenessFeedback qualityUniformityLearning efficacy# of learnersEfficacy-Scale ScorePeer learning4.002.504.002.501.003.2010003200Cascade training2.001.002.000.500.501.40500700Expert coaching0.504.001.004.003.002.2060132

    Of course, there are many nuances in individual programmes that could affect the real-world effectiveness of this simple model. The model, grounded in empirical data and simplified to highlight core determinants of learning efficacy, leverages statistical weighting to prioritize key educational factors, acknowledging its abstraction from the multifaceted nature of educational effectiveness and assumptions may not capture all nuances of individual learning scenarios.

    Peer learning

    The calculated learning efficacy for peer learning, , is 3.20. This value reflects the weighted assessment of peer learning’s strengths and characteristics according to the provided criteria and their importance.

    By virtue of scalability, ESS for peer learning is 24 times higher than expert coaching.

    Cascade training

    For Cascade Training, the calculated learning efficacy, , is approximately 1.40. This reflects the weighted assessment based on the provided criteria and their importance, indicating lower efficacy compared to peer learning.

    Cascade training has a higher ESS than expert coaching, due to its ability to achieve scale.

    Learn more: Why does cascade training fail?

    Expert coaching

    For Expert Coaching, the calculated learning efficacy, , is approximately 2.20. This value indicates higher efficacy than cascade training but lower than peer learning.

    However, the ESS is the lowest of the three methods, primarily due to its inability to scale. Read this article for a scalability comparison between expert coaching and peer learning.

    Image: The Geneva Learning Foundation Collection © 2024

    https://redasadki.me/2024/02/27/calculating-the-relative-effectiveness-of-expert-coaching-peer-learning-and-cascade-training/

    #cascadeTraining #expertCoaching #fellowship #mathematicalModeling #peerLearning

  25. #MeinZiel23 #Leadership #SelfLeadership #HumbleInquiry #HumbleLeadership #KI #LeadershipCoachingChallenge #Peerlearning #haltungentscheidet

    Seit einiger Zeit beschäftige ich mich mit der Frage, wie ich mehr unvoreingenommene Fragen für eine wertschätzendere Kommunikation nutzen kann. #HumbleInquiry ist ein solcher Ansatz, der mehr eine Haltung oder gar eine Philosophie ist als eine Methode.

    Wie kann #KI ich bei der Entwicklung eines dazu passenden #Peerlearning Konzeptes #KI nutzen?