Home / Current Issue / Paper 1708007
An IoT Based Learning Companion: Enhancing Skills in Children Through Technology
Subject area: Science,Engineering and Technology · Area of research: Computer Science
Abstract
The introduction of Internet of Things (IoT) technology led to an increase in innovative learning tools that cater for the needs of a young learner. The project aims to design an IOT-based English learning companion designed specifically for children, with its adaptive and engaging methods which are also intractable, it aims to address the issues of early language acquisition. This system makes use of voice recognition and IoT devices that are powered by AI, giving personalized feedback and tracking the progress of these new learners. The project features real-time pronunciation analysis, gamified experience, and voice interaction, all of which are used to keep the user engaged and maximise retention. The methodology of the model integrates IoT sensors and microphones for input and cloud services for data storage and processing. AI frameworks are adapted for natural language processing and feedback. Experimental results highlight enhanced learning outcomes; vocabulary is retained better and pronunciation more accurate. Interest and engagement metrics among children point to increasing interest and participation on their part. System performance ensures the smoothest experience possible, ensuring a learning outcome. This project provides a costeffective alternative to our traditional digital language learning systems, and its potential goes beyond simple English language learning.
Keywords
IoT, English Learning, Adaptive Learning, Child Education, Language Skills, Image detection, Natural Language Processing, Gamification
How to cite this paper
@article{1708007,
author = {Sameer Ali, Riya Ghosal , Sudhir Dawra},
title = {An IoT Based Learning Companion: Enhancing Skills in Children Through Technology},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {10},
pages = {949-955},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1708007.pdf},
abstract = {The introduction of Internet of Things (IoT) technology led to an increase in innovative learning tools that cater for the needs of a young learner. The project aims to design an IOT-based English learning companion designed specifically for children, with its adaptive and engaging methods which are also intractable, it aims to address the issues of early language acquisition. This system makes use of voice recognition and IoT devices that are powered by AI, giving personalized feedback and tracking the progress of these new learners. The project features real-time pronunciation analysis, gamified experience, and voice interaction, all of which are used to keep the user engaged and maximise retention. The methodology of the model integrates IoT sensors and microphones for input and cloud services for data storage and processing. AI frameworks are adapted for natural language processing and feedback. Experimental results highlight enhanced learning outcomes; vocabulary is retained better and pronunciation more accurate. Interest and engagement metrics among children point to increasing interest and participation on their part. System performance ensures the smoothest experience possible, ensuring a learning outcome. This project provides a costeffective alternative to our traditional digital language learning systems, and its potential goes beyond simple English language learning.},
keywords = {IoT, English Learning, Adaptive Learning, Child Education, Language Skills, Image detection, Natural Language Processing, Gamification},
month = {April},
}