Data-Driven Analysis of Computer-Based Testing to Advance Machinist Performance
The rapid advancement of technology has transformed the education sector, offerings new avenues for data-driven teaching and learning innovations. This study investigates the integration of Augmented Reality (AR) technology in developing an interactive learning media application for scout passwor...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2023/1/jods2024_42.pdf http://eprints.intimal.edu.my/2023/ http://ipublishing.intimal.edu.my/jods.html |
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| Summary: | The rapid advancement of technology has transformed the education sector, offerings new avenues
for data-driven teaching and learning innovations. This study investigates the integration of
Augmented Reality (AR) technology in developing an interactive learning media application for
scout password recognition, with a focus on analyzing learner interaction data to evaluate its
effectiveness. The application utilizes marker-based tracking to overlay digital content in the real
world, creating an immersive environment that enhances comprehension and retention. The study
employs the Prototype Method to ensure user-centric design, supported by stakeholder feedback
throughout iterative development. Unified Modeling Language (UML) tools, such as Use Case
and Activity Diagrams, were utilized to model system functionality. Key features of the application
include interactive 3D models, gamification elements, and progress tracking, with user interaction
data analyzed to assess engagement and learning outcomes. System functionality was evaluated
using the Blackbox testing method, and user performance data was analyzed to identify patterns
in engagement, motivation, and understanding of scout passwords. Results reveal a significant
improvement in learner outcomes compared to traditional teaching methods, with data analysis
highlighting areas of particular effectiveness, such as the use of gamification to sustain learner
interest. This research not only underscores the potential of AR in transforming niche educational
contexts but also emphasizes the importance of analyzing interaction and performance data to
refine educational tools. Future development recommendations include incorporating AI-powered
personalized learning features and expanding the application to cover additional scouting skills,
paving the way for broader adoption of AR technology in education. |
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