Artificial Intelligence Based Solutions in Disaster Literacy Training

DOI

10.2991/978-94-6463-686-4_5How to use a DOI?

Keywords

Disaster Literacy Education; Artificial Intelligence Applications; Text Classification; Question Answering; Disaster Literacy Curriculum

Abstract

This research aims at artificial intelligence-based text classification and question answering solutions in disaster literacy education and underlines the potential of artificial intelligence applications in disaster literacy education. Text classification and question answering applications emerge as effective tools in gaining disaster preparedness skills. Text classification guides students by identifying the topics covered in the educational material and helps focused learning. Question-answer applications enhance the learning experience by automatically extracting answers from texts. In the study, the Python programming language was used to demonstrate the AI applications. However, it emphasises the need to address larger datasets, more complex models and broader application areas in real-world scenarios. In particular, factors such as the use of pre-trained models, data cleaning and label consistency significantly affect the success of artificial intelligence applications. Therefore, careful consideration and optimisation of these factors can contribute to the improvement of application performance. The research results provide important recommendations for researchers, educators and practitioners aiming to develop AI-based disaster literacy education. However, the study underlines the need for further expansion in this area and advocates for more comprehensive research involving diverse datasets, various application contexts and more complex scenarios.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ömer Cem Karacaoğlu
AU  - Demet Karacaoğlu
AU  - Nihan Özbaltan
PY  - 2025
DA  - 2025/04/28
TI  - Artificial Intelligence Based Solutions in Disaster Literacy Training
BT  - Proceeding of the 10th International Conference on Lifelong Education and Leadership for ALL (ICLEL 2024)
PB  - Atlantis Press
SP  - 28
EP  - 45
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-686-4_5
DO  - 10.2991/978-94-6463-686-4_5
ID  - Karacaoğlu2025
ER  -