Growth Mindset Emojifier Multimodal App

Autor/innen

  • 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

Schlagworte:

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

Abstract

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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Veröffentlicht

2024-05-13

Zitationsvorschlag

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

Ausgabe

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

Rubrik

Posters

Lizenz

Copyright (c) 2024 Yulia Kumar, Anjana Manikandan, Patricia Morreale, J. Jenny Li

Creative-Commons-Lizenz
Dieses Werk steht unter der Lizenz Creative Commons Namensnennung - Nicht-kommerziell 4.0 International.