JOURNAL ARTICLE

Leveraging transdisciplinary expertise to develop a task-based Spanish curriculum to combat anti-blackness in the United States: An interview with Melissa Baralt, Aris Clemons, Uju Anya, and Déborah Gómez.

  • Published In: TASK: Journal on Task-Based Language Teaching & Learning, 2023, v. 3, n. 2. P. 213 1 of 3

  • Database: Education Source Ultimate 2 of 3

  • Authored By: Coss, Matthew D.; Baralt, Melissa; Clemons, Aris; Anya, Uju; Gómez, Déborah 3 of 3

Abstract

This article is an interview with the creators of a task-based Spanish language curriculum called MI-BRIDGE, which focuses on centering Blackness in Latin America and Black language learners. The curriculum consists of ten units covering various themes and includes lesson plans, tasks, assessments, and videos featuring Black community leaders. It aims to address the needs of Black students and promote inclusive pedagogies, multilingualism, and antiracism in language teaching. The interview discusses the implementation of the curriculum at historically Black colleges and universities and highlights the importance of recognizing and valuing students' linguistic varieties and identities. The creators express their satisfaction with the current implementation and discuss future goals, such as expanding the curriculum and creating a virtual space for multicultural exchanges. [Extracted from the article]

Additional Information

  • Source:TASK: Journal on Task-Based Language Teaching & Learning. 2023/07, Vol. 3, Issue 2, p213
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2023
  • ISSN:26661748
  • DOI:10.1075/task.00021.cos
  • Accession Number:175959801
  • Copyright Statement:Copyright of TASK: Journal on Task-Based Language Teaching & Learning is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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