Year: 2019
Type: conference-paper
Study design: Systematic Review
Abstract: AR development is becoming very popular in various fields of science. Some researchers have demonstrated that AR has the potential in science, technology, engineering, and mathematics (STEM). Puse of total AR integrated STEM needs to be studied more deeply, how STEM-AR characteristics, and how the potential of AR-based STEM to support the scientific literacy of students. Searches through relevant sources, the online database of which seven ACM Digital Library, ERIC, ieeexplore, ISI Web of Science, ScienceDirect, Scopus, and Springer. The results showed that the use of STEM-AR potentially an effort to improve science literacy.
Authors: W W Agustina, S Sumarto, B Trisno
Institution: Indonesia University of Education
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W2990874402