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Designing Belonging: Using AI to Create Emotionally Inclusive and Multimodal Learning Materials in Higher Education

Research output: Contribution to journalArticlepeer-review

Abstract

This reflective article explores how AI tools, particularly Canva’s AI-assisted visual features, helped me create emotionally inclusive and multimodal learning materials in three teaching contexts: a Social-Emotional Learning (SEL) Collaborative Online International Learning (COIL) programme, a teacher training workshop, and a Year 1 Research-Led Learning module. Guided by the CASEL framework, visuals were designed to support emotional safety and belonging. Drawing on Kress’s (2010) multimodality theory, AI-enabled images served as accessible meaning-making resources. Schön’s (1983) reflection-in-action informed my iterative design process, where AI outputs prompted continuous refinement and ethical decision-making. Three visual examples illustrate how AI-enhanced representation, reduced cognitive load, and clarified complex concepts. The article argues that reflective AI use can strengthen inclusive and effective teaching practices.
Original languageEnglish
JournalCentre for Educational Innovation and Excellence (CEIE)
Publication statusPublished - 10 Jan 2026

Keywords

  • AI in higher education
  • inclusive visual design
  • Social-Emotional Learning
  • multimodality
  • reflective practice
  • Canva AI
  • transnational education
  • visual pedagogy

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