Learning Through the Dialogue with NPCs Using Generative AI

The rapid evolution of generative artificial intelligence (GenAl) is revolutionising various areas, including education and gaming industry. GenAl can create original content to enhance traditional teaching methods, making learning more interactive and personalised. These tools can significantly improve educational outcomes by providing personalised feedback to students and increasing their engagement and motivation. However, the integration of GenAl in education raises ethical concerns, particularly regarding privacy, bias, and the accuracy of AI-generated content, as well as the authenticity and authorship of the work. There is a strong emphasis on the need for robust guidelines and human oversight to mitigate these issues. We used GenAl to create an NPC with a unique personality and life background and enable learners to interact with the NPC without scripted dialogue, creating an engaging game-based learning environment to evaluate the perceptions of the students using GenAl as a learning tool. The prototype developed was evaluated by a group of sixteen students, and the main results are presented and discussed.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/icgi64003.2024.10923796
Citations
2
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.69
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article

Learning Through the Dialogue with NPCs Using Generative AI

Vanessa Rodrigues, Frutuoso G. M. Silva
2 citations
Multi-Agent Systems and Negotiation
0.69
article

Learning Through the Dialogue with NPCs Using Generative AI

Vanessa Rodrigues, Frutuoso G. M. Silva
article en
2 citations

Abstract

The rapid evolution of generative artificial intelligence (GenAl) is revolutionising various areas, including education and gaming industry. GenAl can create original content to enhance traditional teaching methods, making learning more interactive and personalised. These tools can significantly improve educational outcomes by providing personalised feedback to students and increasing their engagement and motivation. However, the integration of GenAl in education raises ethical concerns, particularly regarding privacy, bias, and the accuracy of AI-generated content, as well as the authenticity and authorship of the work. There is a strong emphasis on the need for robust guidelines and human oversight to mitigate these issues. We used GenAl to create an NPC with a unique personality and life background and enable learners to interact with the NPC without scripted dialogue, creating an engaging game-based learning environment to evaluate the perceptions of the students using GenAl as a learning tool. The prototype developed was evaluated by a group of sixteen students, and the main results are presented and discussed.

University of Beira Interior (PT)
Openalex Percentile: Top 22%
Multi-Agent Systems and Negotiation
0.69
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Learning Through the Dialogue with NPCs Using Generative AI — Vanessa Rodrigues, Frutuoso G. M. Silva · (2024) | TGRS Research Map | TGRS