STEM-Based AR Physics Assisted Resources in Smart Learning System
AR (Augument reality) physics assisted is a relatively recent method in the pedagogical strategy to help students and teachers explore the opportunities available in the evolving field of distance learning. It is the mobile device-based learning process, which interactively and collaboratively permits knowledge acquisition. The primary objective is to consider the AR physics assisted phenomenon in high school students' communities and evaluate the various policies applied in System to favor this activity’s penetration. This paper has recommended the deep learning approach (DLA) in STEM-based AR physics assisted resources in Smart learning System. Mobile applications can play an important role in Smart learning systems to facilitate and expand smart mobile devices' property. The vast number of students enrolled annually in Smart learning is facing the problem. Therefore, there is a lack of proper contact between educators and students. AR physics assisted can overcome the issue and allow the curriculum to adjust to respond to the students' lifestyles. It offers more options than conventional models of education. Even if the students and teacher are not in the same class, they could share instructional materials and knowledge. Besides, academic materials have lowered costs, as smartphone apps can find all courses' content online. The proposed framework aims to facilitate the learning process, focus on students' interests, and promote cooperation and coordination between students and teachers. As a result, DLA in STEM-based AR physics assisted improves the interaction between student and teacher. The proposed DLA for improve curriculum development ratio of 97.5%, a high learning rate of 94.8%, increasing interaction ratio of 92.1%, enhance effectiveness ratio of 91.9%, probability ratio of 91.2%, the precision ratio of 93.3%, and F1 score of 95.1% when compared to other methods.
Authors
- Chandan Vichoray (ORCID: https://orcid.org/0000-0002-2072-735X)
- Sunita Dhote (ORCID: https://orcid.org/0000-0001-9603-5416)
- Vishakha Ashish Mankar (ORCID: https://orcid.org/0000-0001-8579-2884)
- Rajas Dhote
Institutions
- Nagpur Institute of Technology (IN)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icercs63125.2024.10895695
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00