Learning Enhancer Tools: A Theoretical Framework to Use AI Chatbot in Education and Learning Applications

被引:0
|
作者
Rega, Angelo [1 ,2 ]
Di Fuccio, Raffaele [1 ]
Inderst, Erika [2 ]
机构
[1] Pegaso Online Univ, I-80143 Naples, Italy
[2] Neapolisanit Rehabil Ctr, I-80044 Ottaviano, Italy
来源
ARTIFICIAL INTELLIGENCE IN HCI, PT III, AI-HCI 2024 | 2024年 / 14736卷
关键词
Human-Centered AI; education; learning; REALITY;
D O I
10.1007/978-3-031-60615-1_28
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work we are going to formalise a theoretical and applied framework useful to develop AI powered chatbot applications in education. We support the hypothesis that these applications should use adaptive tutoring systems methodology as paradigm of artificial intelligence, because it is closer to psychological and pedagogical theories. The need for this theorization is bringing out from the growing market of applications dedicated to the world of education and oriented to the personalization of student's learning experiences. In this article we therefore present a scheme of use and a development model for these educational applications which supports the most accredited learning theories, which will move from the learning theory of reference to the characteristics of the intelligent artificial agent. The operational scheme proposed in this article describes the formalisms for the development of an algorithm to make an artificial intelligent agent chatbot functional for applications in the educational field.
引用
收藏
页码:409 / 419
页数:11
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