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    IDEAS

    Experiential learning improves teams’ inquiry cycles: ONLINE EXCLUSIVE

    By Matthew Swenson, Ann Helfman, Alix Horton and Liz Bergeron
    Categories: Collaboration, Continuous improvement, Data, Improvement science/networks
    April 2023
    In this era of extreme partisanship, increased school and district accountability, and continuing dialogue about the ongoing impacts of the global pandemic, education leaders are under pressure to show measurable and meaningful improvement in outcomes — particularly, and rightly so, for students from marginalized groups.  While schools are under increased pressure for improvement now, the result is too often a wide-scale implementation of ideas without a clear hypothesis, success measures, or buy-in from staff. The consequence: frustration, burnout, and the perpetuation of inequities. With an acknowledgment that all improvement requires change but not all changes are an improvement, improvement science provides a systematic approach to change guided by three improvement questions: What are we trying to accomplish? What changes might we make that will result

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    References

    Langley, G.J., Moen, R.D., Nolan, K.M., Nolan, T.W., Norman, C.L., & Provost, L.P. (2009). The improvement guide: A practical approach to enhancing organizational performance. Jossey-Bass.


    Matt swenson3
    + posts

    Matthew Swenson (mswenson@newtechnetwork.org) is senior director of college access and network New Tech Network.

    Ann helfman
    + posts

    Ann Helfman (ahelfman@newtechnetwork.org) is director of college access at New Tech Network.

    Alix horton
    + posts

    Alix Horton (ahorton@newtechnetwork.org) is chief learning officer at New Tech Network.

    Liz bergeron
    + posts

    Liz Bergeron, PhD, is Managing Director of Strategy & Research at New Tech Network. Her research interests focus on conceptualizing and conducting studies to inform practice and policy aimed at creating schools that leverage student assets and voice, while fostering supportive and inclusive cultures.


    Categories: Collaboration, Continuous improvement, Data, Improvement science/networks

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