Growth Mindset Emojifier Multimodal App

Autores/as

  • Yulia Kumar Kean University, USA
  • Anjana Manikandan Kean University
  • Patricia Morreale Kean University https://orcid.org/0000-0002-7954-2122
  • J. Jenny Li Kean University

DOI:

https://doi.org/10.32473/flairs.37.1.135572

Palabras clave:

Large Language Models in Education, Emoji-Enhanced Feedback, Growth Mindset, ChatGPT

Resumen

The study introduces the Growth Mindset Emojifier Multi-modal App (GMEMA), a novel application designed to improve educational feedback by including Growth Mindset and emojis. Using OpenAI’s AI models, GMEMA provides emotionally nuanced feedback to boost student engagement and foster growth mindsets. The application's capabilities extend to the automated creation and assessment of Java quizzes, delivering personalized feedback that blends motivational phrases and chosen emojis to match students’ achievements. Preliminary observations indicate that incorporating emojis into educators' feedback significantly heightens students' emotional engagement and comprehension, illustrating the profound impact of emotional AI on educational practices.

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Publicado

2024-05-13

Cómo citar

Kumar, Y., Manikandan, A., Morreale, P., & Li, J. J. (2024). Growth Mindset Emojifier Multimodal App. The International FLAIRS Conference Proceedings, 37(1). https://doi.org/10.32473/flairs.37.1.135572

Número

Vol. 37 (2024): Vol. 37 (2024): Proceedings of FLAIRS-37

Sección

Posters

Licencia

Derechos de autor 2024 Yulia Kumar, Anjana Manikandan, Patricia Morreale, J. Jenny Li

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.