Augmented Reality for Quechua Language Teaching-Learning: A Systematic Review

Jhonatan  Cardenas-Valdivia; Jean  Flores-Alvines; Orlando Iparraguirre-Villanueva; Michael   Cabanillas-Carbonell

doi:10.3991/ijim.v17i06.37793

Authors

Jhonatan Cardenas-Valdivia Universidad Autónoma del Perú https://orcid.org/0000-0003-0373-7211
Jean Flores-Alvines Universidad Autónoma del Perú
Orlando Iparraguirre-Villanueva Universidad Autónoma del Perú
Michael Cabanillas-Carbonell Universidad Privada del Norte https://orcid.org/0000-0001-9675-0970

DOI:

https://doi.org/10.3991/ijim.v17i06.37793

Keywords:

component; Augmented reality, technology, Quechua, learning, teaching, language.

Abstract

As time goes by, it is evident that technology advances, Augmented Reality (AR) is an innovative technological tool that has emerged and has been highly attractive to users, allowing sharing information in a dynamic and realistic way. In the present systematic literature review (SLR), a search was conducted for manuscripts published in 6 databases between the years 2017 to 2022, related to the implementation of AR to improve the teaching-learning (TL) process of the Quechua language, which were analyzed and systematized using the prism methodology, obtaining as a result 56 manuscripts that supported to answer the research questions, where the various factors that allow improving the TL process of the Quechua language and the various benefits generated by its implementation were identified. It is concluded that, according to the results, the application of RA in the TL of the Quechua language is an efficient and productive tool; however, it can also be a source of distraction in the study, so it is necessary to have a good management of this methodology and of the study environment to obtain better achievements. For this reason, a model is proposed to serve as a basis for the proper management in the implementation of RA to improve the process of Quechua language TL.

Author Biographies

Jhonatan Cardenas-Valdivia , Universidad Autónoma del Perú

Computer science student at the Universidad Autonoma del Peru. He works as a developer of web and mobile applications, with knowledge in augmented reality, open source software, artificial intelligence, business intelligence

Jean Flores-Alvines, Universidad Autónoma del Perú

Computer science student at the Universidad Autonoma del Peru. With knowledge Microsoft Office, MySQL database, HTML5, Figma, Github, Eco 3D, javaScript, React and WordPress.

Orlando Iparraguirre-Villanueva, Universidad Autónoma del Perú

Systems Engineer with a master’s degree in Information Technology Management, PhD in Systems Engineering from Universidad Nacional Federico Villarreal-Peru. ITIL® Foundation Certificate in IT Service, Specialization in Business Continuity Management, Scrum Fundamentals Certification (SFC). National and international speaker/panelist (Panama, Colombia, Ecuador, Venezuela, Mexico). Undergraduate and postgraduate lecturer in different universities in the country. Advisor and jury of thesis in different universities. Consultant in information technologies in public and private institutions. Coordinator, Director in different private institutions. Specialist in software development, IoT, Business Intelligence, open-source software, Augmented Reality, Machine Learning, text mining and virtual environments.

Michael Cabanillas-Carbonell, Universidad Privada del Norte

is Engineer and Master in Systems Engineering from the National University of Callao-Peru, PhD candidate in Systems Engineering and Telecommunications at the Polytechnic University of Madrid. President of the chapter of the Education Society IEEE-Peru. Conference Chair of the Engineering International Research Conference IEEE Peru EIRCON. Research Professor at Norbert Wiener University, Professor at Universidad Privada del Norte, Universidad Autónoma del Perú. Advisor and Jury of Engineering Thesis in different universities in Peru. International lecturer in Spain, United Kingdom, South Africa, Romania, Argentina, Chile, China. Specialization in Software Development, Artificial Intelligence, Machine Learning, Business Intelligence, Augmented Reality. Reviewer IEEE Peru and author of more than 25 scientific articles indexed in IEEE Xplore and Scopus.