Published September 30, 2020 | Version v1
Journal article Open

Efficient Cognitive Skill Based Learning System using Augmented Reality

  • 1. Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia
  • 2. Associate Professor, Faculty of Electrical and Computer Engineering, Arba Minch University Ethiopia
  • 3. Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia.
  • 1. Publisher

Description

Augmented Reality provides an interactive experience by imposing virtual objects over real world environment and used in different field in learning, entertainment, or edutainment by developing higher order cognitive and practical learning skills. With the infusion of digital technology, nowadays all the educational institutions adapted the online mode learning environment like smart classroom for content delivery, Webcast Lecture by using AR. AR attracts research attention for its ability to allow students to be immersed in realistic experiences. AR will allow learners too deep about real time and cognitive skill development experiences. Recent scenario in education and academic sectors needs emerging technologies for learning system. In that scenario AR technology will be used to create new type of self-learning and automated application in academic. This technology is used to enhance the teaching and learning for students in effective way and efficient too. Even this technology will attract the students to learn fast and improve the cognitive skill also. This is a new standard, merging features from ubiquitous computing, tangible computing, and social computing. The benefits of this proposed component include inspiring deep and thoughtful education, in real world problems and challenges can be refining the creative problem solving abilities while also as long as exposure/ new perception. This proposed research paper goals to improve present educational system using Augmented Reality.

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Is cited by
Journal article: 2277-3878 (ISSN)

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ISSN
2277-3878
Retrieval Number
100.1/ijrte.C4581099320