Home
Author Guide
Editor Guide
Reviewer Guide
Special Issue
Introduction
Special Issues List
Published Issues
journal menu
Aims and Scope
Editorial Board
Indexing Service
Article Processing Charge
Open Access Policy
Publication Ethics
Editorial Process
Subscription
Contact Us
General Information
ISSN:
2377-2891(Print); 2377-2905(Online)
Frequency:
Bimonthly
Editor-in-Chief:
Prof. Eric C. K. Cheng
Associate Executive Editor:
Ms. Jenny Jiang
DOI:
10.18178/ijlt
Abstracting/Indexing:
Google Scholar; Crossref, CNKI,
etc.
APC:
500 USD
E-mail
questions or comments to
IJLT Editorial Office
.
Editor-in-Chief
Prof. Eric C. K. Cheng
Professor & Vice President (Academic)
Yew Chung College of Early Childhood Education, Hong Kong, China
As the Editor-in-Chief of IJLT, I invite you to contribute your scholarly work to our esteemed publication. IJLT serves as a beacon for original and impactful academic contributions in the realm of education, fostering multidisciplinary research and development to enhance teaching-learning processes globally. We welcome submissions spanning a wide spectrum of topics, from innovative program development to the integration of digital tools in education. Our scope encompasses areas such as student leadership, diversity in education, and collaborative initiatives, reflecting our commitment to a sustainable and inclusive society. [
Read More
]
What's New
2024-08-29
Vol. 10, No. 4, 2024 has been published!
2024-06-27
Vol. 10, No. 3, 2024 has been published!
2024-04-30
Vol. 10, No. 2, 2024 has been published!
Home
>
Published Issues
>
2020
>
Volume 6, No. 3, September 2020
>
Assisting Students Learning Experiences Using an Augmented Reality Model Framework
Rommel E. Balcita
1
and Thelma D. Palaoag
2
1. Northern Philippines College for Maritime, Science and Technology, Brgy. Lingsat, San Fernando City, La Union, Philippines
2. University of the Cordilleras, College of Information Technology, Baguio City, Philippines
Abstract
—In learning through experience there are so many techniques that can be used in order to learn and master skills. Strategies used for learning may be in the form of presentation, multimedia, simulation or hands-on. Others might prefer combination of strategies both being able to hear and/or see the actual or real object of machines, tools or equipment. There are advanced visual technologies available in the internet to choose from but most are not designed to the learning process in a school. Augmented reality is an emerging advance technology that shows a lot of use and opportunity as a tool for learning and enhancing experience. AR can simulate real objects into models that be used for education. This study aims to experiment on an AR engine created using the AR model framework to enhance the learning experiences of students in the different learning strategies used in this study. The experiment is focused to find the significant differences of not having and having an AR model into the learning/teaching strategy. To analyze the data frequency, statistical mode is used to find the most frequent response to interpret the nominal and ordinal categories of the variables. The results of using the AR model framework significantly improved the learning experiences of the participants.
Index Terms
—Augmented reality, education al technology, AR in education
Cite: Rommel E. Balcita and Thelma D. Palaoag, "Assisting Students Learning Experiences Using an Augmented Reality Model Framework," International Journal of Learning and Teaching, Vol. 6, No. 3, pp. 146-151, September 2020. doi: 10.18178/ijlt.6.3.146-151
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
2-ET029
PREVIOUS PAPER
The Effects of Gender and Age on Students’ Use of a Learning Management System in Saudi Arabia
NEXT PAPER
Construction and Practice of Excellence Talent Training System for Computer Science and Technology in Yunnan University