Developing a Smart Learning System for Large Enterprises Based on Intelligent Augmented Reality

This paper proposes a smart learning system built on deep learning and augmented reality (AR) to support employees with practical IoT experimentation, from components and circuit board pin connections to programming and IoT control. For instance, employees can use their mobile phones to capture images of electronic components and access AR-enhanced instructional materials for learning component properties. This AR-assisted learning system offers guidance at each experimental stage to support hands-on practice and troubleshooting. The learning system also incorporates the pair programming teaching method to enhance experimental quality and confidence, enabling employees to collaborate with teammates throughout the process. The system is further equipped with an online whiteboard for Q&A and in-depth theoretical exploration at each stage of the experiment. Additionally, a blockchain platform records and analyzes each employee's learning progress and status, providing a comprehensive view of their development.

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Publication Details

Journal
Journal of Organizational and End User Computing
Published
2025-01-23
DOI
https://doi.org/10.4018/joeuc.367726
Citations
3
Primary Topic
AI and Big Data Applications
Type
article
Field-Weighted Citation Impact
9.74

Funders

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article

Developing a Smart Learning System for Large Enterprises Based on Intelligent Augmented Reality

Hsin‐Te Wu
3 citations
Journal of Organizational and End User Computing
AI and Big Data Applications
9.74
article

Developing a Smart Learning System for Large Enterprises Based on Intelligent Augmented Reality

Hsin‐Te Wu
article en
3 citations

Abstract

This paper proposes a smart learning system built on deep learning and augmented reality (AR) to support employees with practical IoT experimentation, from components and circuit board pin connections to programming and IoT control. For instance, employees can use their mobile phones to capture images of electronic components and access AR-enhanced instructional materials for learning component properties. This AR-assisted learning system offers guidance at each experimental stage to support hands-on practice and troubleshooting. The learning system also incorporates the pair programming teaching method to enhance experimental quality and confidence, enabling employees to collaborate with teammates throughout the process. The system is further equipped with an online whiteboard for Q&A and in-depth theoretical exploration at each stage of the experiment. Additionally, a blockchain platform records and analyzes each employee's learning progress and status, providing a comprehensive view of their development.

Journal of Organizational and End User ComputingVol. 37(1)
National Taitung University (TW)
National Science and Technology Council
Openalex Percentile: Top 3%
AI and Big Data Applications
9.74
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Developing a Smart Learning System for Large Enterprises Based on Intelligent Augmented Reality — Hsin‐Te Wu · Journal of Organizational and End User Computing (2025) | TGRS Research Map | TGRS