Essentials of Social Emotional Learning (SEL). Donna Lord Black

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Essentials of Social Emotional Learning (SEL) - Donna Lord Black


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in implementing social emotional learning and school culture and climate initiatives at the school and district levels. The program is co‐directed by Patricia Heindel, PhD, and Maurice Elias, PhD.

      Center for Reaching and Teaching the Whole Child (CRTWC), San Jose State University

      The CRTWC views SEL from a systemic perspective, rather than as an add‐on program. The program seeks to transform teacher preparation by integrating SEL competencies and culturally responsive teaching practices into course content and field experiences. SEL is infused into the fifth year of the K–8 teacher certification program using a framework developed for the program called the Social, Emotional, and Cultural Anchor Competencies Framework. It focuses on a broad set of SEL competencies needed by teachers and students, along with specific strategies for teaching them, and refers to this as the Social‐Emotional Dimensions of Teaching and Learning (SEDTL). The program’s executive director is Nancy Markowitz, PhD.

      Attentional Teaching Practices (ATP), University of Pittsburgh

      The ATP program helps pre‐service teachers enrolled in the Master’s in Teaching program learn to focus on the psychological space for learning. Students who are getting certified to teach in middle and high school are taught mindfulness and self‐regulation strategies to increase their own self‐awareness and recognize their own emotional triggers. The program focuses on how to create a classroom environment that is optimal for implementing other pedagogical practices. While not a complete SEL program, the ATP is a yearlong program that helps teachers learn how to manage and cope with the future stresses they might experience as a teacher. The program was co‐created and is co‐taught by Tanner Wallace, PhD, and Shannon Wanless, PhD.

      Source: Modified from Schonert‐Reichl, K.A., Kitil, M.J., & Hanson‐Peterson, J. (2017). To reach the students, teach the teachers: A national scan of teacher preparation and social and emotional learning. A report prepared for the Collaborative for Academic, Social, and Emotional Learning (CASEL). Vancouver, BC: University of British Columbia.

      These are but a few of the many challenges faced in implementing SEL, but these are by no means the only ones. Implementation of SEL is a comprehensive process involving many stakeholders and many aspects of a school’s or district’s operations. It is not a “one‐size‐fits‐all” model. Rather, it is a process through which a school or district must include all stakeholders and all systems involved. It requires a thorough analysis of all programs, resources, policies, procedures, operating guidelines, and other relevant data, which can then be used to inform a multistage plan for aligning all system components, allocating resources, identifying targeted areas of need, and implementing with fidelity and integrity. A detailed discussion of implementation planning will be discussed further in Chapter 14.

      Take, for example, the Anchorage School District in Alaska. The largest district in a state that ranks among the highest per capita in rates of child abuse and domestic violence, this district has more students exposed to violence and trauma than in most other states (Boss, 2011). Exposure to these types of adverse childhood experiences (ACEs) places these students at risk for poor educational, social, health, and economic outcomes. The Anchorage School District recognized the need to combat these risk factors, and in 2006 it became one of the first school districts in the United States to adopt a set of SEL standards for both students and teachers (Education First, 2016). Since then, these standards have been implemented in kindergarten through 12th grade classes and have transformed the business of educating students in the Anchorage School District (Davis, 2018). Is it working? Educators and parents alike believe it is making a difference, but results aren’t that easy to quantify. That may be because the skills themselves aren’t easy to quantify, and without high‐quality assessment tools to help, educators won’t be able to determine which instructional strategies work and which ones are ineffective and may be wasting critical resources.

      The science behind SEL recognizes the need for resources to help clarify and provide guidance in assessing and quantifying these skills, but this field is just beginning to grow, albeit rapidly. While data can and should be used to help inform and guide instruction (and, thus, ensure adequate use of resources), it’s also important to understand that the purpose for the data is not to detract from other important activities, but to enhance those activities.

      Establishing the Critical Areas of Competence

      There are more than 100 SEL frameworks identified in the research, and each has been developed for specific purposes, but primarily to facilitate social and emotional development. Each framework employs its own language that is aligned to that framework’s goals, so terminology is often different for each framework. This makes contrasting and comparing frameworks extremely challenging and complicated. Additional frameworks continue to emerge each year, adding to the already cluttered and confusing landscape.

      In an effort to add clarity and address some of these dilemmas, Harvard University’s Graduate School of Education undertook the Taxonomy Project. One of the outcomes of the project was the creation of a web‐based platform that showcases areas where SEL frameworks align and areas where they diverge (Jones, Bailey, & Nelson 2019). The project examined more than 40 SEL frameworks and the non‐academic domains covered by each framework. The frameworks were selected for inclusion in the project based on three criteria: (a) being representative of a wide range of disciplines, (b) being widely adopted, and (c) including descriptive skills, traits, competencies, strengths, mindsets, and/or attributes that were defined and could be coded (EASEL Lab, 2020).

      One


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