Creative Engagement with Hispanic Literature through Generative AI
Meghan McInnis-Domínguez, University of Delaware (United States)
Abstract
In this presentation, I will demonstrate how generative Artificial Intelligence (AI) tools can be leveraged to foster creative engagement and deeper comprehension in intermediate low to intermediate advanced Hispanic literature courses. Specifically, I will showcase practical ways to integrate AI-driven image generation, large language models (LLMs), and music creation platforms such as Suno to help students produce original works—ranging from poetry to fully realized songs—inspired by the themes and historical context of canonical texts. By guiding students to experiment with AI image prompts, they can visualize and interpret literary motifs in new ways, thereby broadening their interpretive lens. Similarly, encouraging the writing of poetry and lyrics with AI support empowers students to refine their language skills while exploring how form and diction shape meaning. Transforming these poetic creations into songs via AI music composition provides an immersive, multimodal approach to learning, as students select style, tone, and instrumentation relevant to their textual analyses. I will also illustrate how ChatGPT’s Voice Chat feature can simulate conversations with historical authors, offering deeper cultural and historical insights. A key focus will be on responsible use of AI—teaching students strategies for harnessing these tools ethically and effectively to enhance critical thinking, master course content, and push the boundaries of their own creative expression. During the session, I will share classroom-tested examples that demonstrate how AI-based activities help students move beyond passive reading to develop an active, imaginative relationship with literature.
Keywords |
Generative AI, Hispanic literature, language learning, creative pedagogy, multimodality |
REFERENCES |
[1] Suno AI. (2024). AI Music Creation Platform. https://www.suno.ai
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