Generating educational mobile applications using UIDPs identified by artificial intelligence techniques

•A new process for developing educational mobile applications is proposed.•Our process generates mobile applications on different software platforms.•User Interface Design Patterns and Artificial Intelligence techniques were used.•A Web-based tool called EduMatic was developed as a proof-of-concept....

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Published inComputer standards and interfaces Vol. 70; pp. 103407 - 22
Main Authors Sánchez-Morales, Laura Nely, Alor-Hernández, Giner, Rosales-Morales, Viviana Yarel, Cortes-Camarillo, Cesar Augusto, Sánchez-Cervantes, José Luis
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.06.2020
Elsevier BV
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Summary:•A new process for developing educational mobile applications is proposed.•Our process generates mobile applications on different software platforms.•User Interface Design Patterns and Artificial Intelligence techniques were used.•A Web-based tool called EduMatic was developed as a proof-of-concept. Commercial mobile devices vary in brand, size, and functionalities, but they all allow people to interact with educational applications. In software engineering, application development techniques, approaches, methodologies, and processes (e.g., BBD, FDD, RAD, DDD) are often time consuming, costly, or aim at expert developers – which implies that users outside the software development field (e.g., teachers) need great practice to become experienced application developers. This work proposes an artificial-intelligence-based process for generating educational mobile apps from freehand-generated images. The images’ design is based on User Interface Design Pattern (UIDP) representations. As a proof of concept, we introduce EduMatic, an application development tool. To test our process, we assessed Wiki-Comp, an application built with EduMatic, along with three other external educational applications: Khan Academy, Wiki encyclopedia, and Kiwix. According to the evaluation results, Wiki-Comp outstands in functionality, usability, and performance aspects.
ISSN:0920-5489
1872-7018
DOI:10.1016/j.csi.2019.103407