COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Leadership for Learning: The Cambridge Network > LfL Supper Seminar: Launch of 'Teacher Self-Efficacy, Voice and Leadership'
LfL Supper Seminar: Launch of 'Teacher Self-Efficacy, Voice and Leadership'Add to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Katie O'Donovan. All welcome. Please email lfl@educ.cam.ac.uk if you plan to attend so we can cater accordingly. This seminar focuses on the report, Teacher Self-Efficacy, Voice and Leadership commissioned by Education International. The report follows an international survey, undertaken by John Bangs and David Frost, of the views of both teachers and teacher organisation officials about ways to enhance the teaching profession. Evidence from the survey was used to underpin guidance on a policy framework that would enhance teacher voice and enable teachers to have greater influence within and beyond their professional contexts. John, David and Guntars will present the report and invite a number of participants to respond. This talk is part of the Leadership for Learning: The Cambridge Network series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsJCBS Jesus College Biological Society Next Genration Biophysics; Friday 8th November 2019 Kazakhstan’s Bid to Secure a Non-permanent Seat on the UN Security Council for 2017-18Other talksComputing knot Floer homology What You Don't Know About God Organoid systems to study the maternal-fetal dialogue of early pregnancy Developmental cognitive neuroscience The Move of Economics Ideas and Numbers into Policy Migration in Science Towards bulk extension of near-horizon geometries Towards a whole brain model of perceptual learning Mathematical applications of little string theory Singularities of Hermitian-Yang-Mills connections and the Harder-Narasimhan-Seshadri filtration Prof Murray Shanahan: Artificial Intelligence |