Designing professional learning

The Designing Professional Learning report provides a snapshot of the key elements involved in creating effective and engaging professional learning in a globally dispersed market. AITSL commissioned Learning Forward to undertake this study to give greater guidance around the ‘how’ of professional learning. Learning design involves making careful decisions based on an integration of theories, research and models of human learning in order to contribute to the effectiveness of professional learning. This work is not presented as definitive findings, but seeks to draw attention to observed trends and areas of commonality between learning designs that have demonstrated success. Following an analysis of a broad range of professional learning activities, a Learning Design Anatomy was developed to provide a framework for understanding the elements of effective professional learning. Each learning design element is framed by a detailed series of questions that challenge users to refine and clarify aims, intended learning outcomes and the most effective ways in which to engage—taking into consideration the unique context for learning. Examples of professional learning design are provided to illustrate elements of the Anatomy. The report is designed to be of use to teachers, school leaders, policy makers, system administrators and professional learning providers. It is intended that this report and the Anatomy will serve as provocation for a broader conversation about the composition of professional learning and the elements that establish the strongest correlation between participants, environment, delivery and action

Red Rock Desert Learning Center & Wild Horse and Burro Facility: Newsletter

The mission of the Red Rock Desert Learning Center is to instill stewardship and respect by increasing knowledge and understanding of the Mojave Desert ecosystemsand cultures through a unique experiential discovery program

Red Rock Desert Learning Center & Wild Horse and Burro Facility: Frequently Asked Questions

The mission of the Red Rock Desert Learning Center is to instill stewardship and respect by increasing knowledge and understanding of the Mojave Desert ecosystems and cultures through a unique experiential discovery program

啟發另類思維 嶺南大學推服務研習課程

原載於2017年3月28日《晴報》。https://commons.ln.edu.hk/osl_press/1025/thumbnail.jp

Service-Learning Times : semester 2, 2018/19

To foster multi-disciplinary learning experience, the three faculties, the Science Unit and Office of Service-Learning offer you plenty of choices and flexibility in S-L projects. Moreover, we also provide trans-border S-L and research opportunities, enabling you to examine challenging issues at both the local and international levels. A number of S-L projects are also available in cluster courses, free elective courses, and major courses. In short, you have a wealth of opportunities to apply your course knowledge while contributing to the local and the international communities. This booklet highlights the courses with S-L elements in this semester. If you want to choose what kind of S-L adventure you want to go on, you should plan and act quickly while places are available.https://commons.ln.edu.hk/sl_times/1003/thumbnail.jp

Service-Learning Times : semester 2 & summer term, 2017/18

Service-Learning (S-L) is an experiential learning approach that empowers students to apply academic knowledge in meaningful community service with reflection. In particular, the Service-Learning and Research Scheme (SLRS) seeks to build research elements into the S-L opportunities, which provide students with diverse and insightful service experiences to enhance their personal growth, intellectual advancement and career readiness while bringing substantial benefits to the collaborating partners. This booklet highlights popular S-L courses. Students wishing to experience the best of S-L should plan ahead and act quickly while places are available.https://commons.ln.edu.hk/sl_times/1001/thumbnail.jp

Service-Learning Times : semester 1, 2018/19

Service-Learning (S-L) is a pedagogy that drives learning, innovation, contribution and transformation. It provides experiential learning opportunities for students by connecting academic knowledge to impactful community service with ongoing reflection during the process. The diverse and insightful S-L experience enables students to discover their potential, address the challenges faced by the community, as well as transform beneficiaries’ lives by providing support to collaborating partners. This booklet highlights the courses with S-L elements offered this semester. Students wishing to experience the best of S-L should plan and act quickly while places are available.https://commons.ln.edu.hk/sl_times/1002/thumbnail.jp

Spectral Methods from Tensor Networks

A tensor network is a diagram that specifies a way to "multiply" a collection of tensors together to produce another tensor (or matrix). Many existing algorithms for tensor problems (such as tensor decomposition and tensor PCA), although they are not presented this way, can be viewed as spectral methods on matrices built from simple tensor networks. In this work we leverage the full power of this abstraction to design new algorithms for certain continuous tensor decomposition problems. An important and challenging family of tensor problems comes from orbit recovery, a class of inference problems involving group actions (inspired by applications such as cryo-electron microscopy). Orbit recovery problems over finite groups can often be solved via standard tensor methods. However, for infinite groups, no general algorithms are known. We give a new spectral algorithm based on tensor networks for one such problem: continuous multi-reference alignment over the infinite group SO(2). Our algorithm extends to the more general heterogeneous case.Comment: 30 pages, 8 figure