AI-Supported Teaching for Multilingual Learners

Agustín Reyes-Torres is an associate professor in the Department of Languages and Literature Education at the Universitat de València, Spain.Philip Seyfried is a doctoral student at Teachers College, Columbia University with more than a decade of experience teaching secondary language arts and literature.Mary Ehrenworth is a consultant who works nationally and globally to empower teachers and students through critical literacies.

• ContentsIntroduction: Working at the Intersection of Multiple Literacies to Embrace Critical Competencies and Full Personhood  1 Key Learning Theories That Support Multilingual and Multimodal Teaching  2 From Traditional Literacy to Multiliteracies  3 Why Multiliteracies Matter for Multilingual Learners  4 Integrating AI Modalities and Literacies in Teaching and Learning  9 How This Book Is Organized  11 Conclusion : Shifting Paradigms With Colleagues in Educational Settings  14 1.  Multimodal Implementation: Classroom Narratives  15 Introducing Multimodal Literacies and Vocabulary  16 Creating Learning Pathways and Extending Peer Discussion  24 Pathways That Meet Students Where They Are: Contemporary Cultural Texts  28 Increasing Criticality With Strategic Text Pairings and Close Reading Lenses  32 Teaching at the Intersection of Theory and Practice  40 2.  Expanding Student Response: Multimodality and AI Innovations  43 Leveraging Visual-Spatial Responses: Infographics, Sketchnoting, and Concept Mapping  44 Exploring Audio-Digital Responses: Podcasts, Videos, and Interactive Media  55 Coaching Learners Using EdTech AI When Concepts Get Lost in Translation  60 3.  Creating Strategic Multimodal Learning Pathways: Text Sets and Critical Lenses  65 Choosing Multimodal Texts for Accessibility and Complexity  67 AI-Powered Identity Affirmation Through Multimodal Pathways  73 Pairing and Sequencing Texts Strategically for Different Purposes  75 Creating Text Sets as Learning Pathways  80 Multimodal Micropath 1. Experiencing: Awakening Curiosity  81 Multimodal Micropath 2. Conceptualizing: Building Collective Meaning  83 Multimodal Micropath 3. Analyzing: Deepening Interpretation and Critical Reflection  84 Multimodal Micropath 4. Applying: Expressing and Creating New Meanings  87 Designing the Learning Pathway and Connecting Multimodal Texts  89 Why Multimodal Learning Pathways Matter, and Why It Matters to Harness AI  90 4.  Liberatory Digital Multilingualism  92 Reconceptualizing Ideas of Competencies and Capital  93 Bolstering Peer Perspectives and Interactions  97 Developing Students’ Internalized Esteem, Confidence, and Adeptness  112 5.  From Deficit to Asset: AI-Powered Assessment for Multilingual Brilliance  115 Figuring Out What You Value  117 Designing Assessment Systems That Honor Multilingual Competencies  118 Design Elements for AI-Partnered Assessment Models  127 Addressing Bias in AI (and Human) Assessment Systems  132 Conclusion: Shifting Paradigms With Colleagues in Educational Settings  136 Starting Where You Are  137 Building Communities of Practice  138 Embracing an Inquiry Stance  138 Aim to Create Ripple Effects  139 Let’s Get Started  139 Resources for Continuing the Journey  142 References  143 Index  149 About the Authors  155