Unlocking Multilingual Learners' Potential: Strategies for Making Content Accessible. 2nd Edition

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  • Additional Information
    • Availability:
      Corwin. Available from: SAGE Publications. Customer Care, 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-233-9936; Fax: 800-417-2466; e-mail: [email protected]; Web site: https://us.corwin.com/en-us/nam/home
    • Peer Reviewed:
      N
    • Source:
      344
    • Intended Audience:
      Teachers
    • Education Level:
      Early Childhood Education
      Elementary Education
      Kindergarten
      Primary Education
      Elementary Secondary Education
    • Subject Terms:
    • ISBN:
      978-1-07-190266-0
    • Abstract:
      In this eagerly anticipated revision of their bestselling book, authors Diane Staehr Fenner, Sydney Snyder, and Meghan Gregoire-Smith share dynamic, research-backed strategies that every educator of multilingual learners (MLs) can add to their repertoire. Including more of what educators loved from the first edition--authentic classroom examples, a wide variety of research-based instructional strategies, and practical tools to implement across grade levels and content areas--this is the ultimate practical guide to unlocking the potential of MLs in K-12 classrooms. With fresh graphics and eye-catching colors, this thoroughly revised edition also includes: (1) Considerations for newcomers and students with interrupted or no formal education (SLIFE); (2) An added chapter on building scaffolded instruction and peer learning opportunities into MLs' academic reading and writing activities; (3) Additional opportunities for reflection and application; and (4) A new unit planning template aligned with research-based instructional practices, including a completed example unit. Situated within five core beliefs that frame the must-haves for MLs' equitable and excellent education, "Unlocking Multilingual Learners' Potential" is a guide to research-based practices and a toolbox of strategies every educator can implement to make content accessible and increase language proficiency among MLs.
    • Abstract:
      As Provided
    • Publication Date:
      2024
    • Accession Number:
      ED642068