This course provides knowledge and skills in supporting English Language Development and Inclusive Learning throughout Out-of-School (OST) environments. Educators learn learn to welcome, support, and enhance language and literacy skill development for all children and youth and respond appropriately to the individualized ELD needs of non-native speakers of English

This course for Administrators provides knowledge and skills in supporting diverse families and enhancing English Language Development (ELD) across expressive and receptive language domains for school-age children who are English Language Learners (ELL) or have other learning and language barriers. Administrators learn about key standards and best practices and explore strategies to implement improved practice, creating a shift in policies and programmatic culture to embrace and support diverse learners, welcoming non-native English speaking families and enhancing the ELD progress of students who are learners of English.

This course provides knowledge and skills in supporting STEM (Science, Technology, Engineering and Math) infusion throughout Out-of-School (OST) environments. Educators learn to support STEM skill development through active, engaging, and fun approaches to each topic, while aligning to the MA-CF and engaging best practices such as ULD and TC/PBL.

This course provides knowledge and skills in supporting English Language Development and Inclusive Learningthroughout Out-of-School (OST) environments. Educators learn learn to welcome, support, and enhance language and literacy skill development for all children and youth and respond appropriately to the individualized ELD needs of non-native speakers of English.

This course for Administrators provides knowledge and skills in supporting diverse families and enhancing English LanguageDevelopment (ELD) across expressive and receptive language domains for school-age children who are English Language Learners (ELL) or have other learning and language barriers. Administrators learn about  key standards and best practices and explore strategies to implement improved practice, creating a shift in policies and programmatic culture to embrace and support diverse learners, welcoming non-native English speaking families and enhancing the ELD progress of students who are learners of English.

This lesson in part of Software Carpentry workshop and teach novice programmers to write modular code and best practices for using R for data analysis. an introduction to R for non-programmers using gapminder data The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis. The lesson contains more material than can be taught in a day. The instructor notes page has some suggested lesson plans suitable for a one or half day workshop. A variety of third party packages are used throughout this workshop. These are not necessarily the best, nor are they comprehensive, but they are packages we find useful, and have been chosen primarily for their usability.