Rubén Baena-Pérez, Iván Ruiz-Rube, José Miguel Mota, Juan Manuel Dodero
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引用次数: 0
Abstract
This paper introduces NAVI Assistant, a tool designed to enhance learning in an End-User Development (EUD) environment. NAVI Assistant integrates a chatbot that uses natural language understanding (NLU) and machine learning (ML) technologies for intent recognition and context management. The tool comprises components within both a browser extension and a server, ensuring efficient and secure communication. This modular architecture supports the seamless integration of various functionalities, providing users with a smooth and efficient experience. The software discussed in this work is specifically implemented for App Inventor (AI2), an environment tailored for creating mobile applications.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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