Providing Personalized E-Learning Content Services by Adapting to Multiple Feedback Using Mobile Agents

Ashish Jain, Jean George

2023

Abstract

Personalized e-learning services are becoming increasingly crucial for delivering quality content to subscribers. In open and dynamic environments, personalized e-learning services are essential, and emerging technologies such as web services and agents are playing a significant role in their development. User profiling is a promising approach to personalizing e-learning services, as it allows for the assessment of user profiles during the learning process. By collecting feedback from users and storing it in their profiles, the proposed system aims to provide efficient e-learning content services that can adapt to multiple feedbacks and cater to both individual and group users. Mobile agents are used for effective retrieval and distribution of learning content. The proposed system aims at providing personalized e-learning content services which can adapt multiple feedbacks and provides efficient e-learning content services to individual users and to group of users using mobile agents for effective retrieval and distribution of learning content.

Paper Citation

in Harvard Style

Jain A. and George J. (2023). Providing Personalized E-Learning Content Services by Adapting to Multiple Feedback Using Mobile Agents. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 620-623. DOI: 10.5220/0012610200003739

in Bibtex Style

@conference{ai4iot23,
author={Ashish Jain and Jean George},
title={Providing Personalized E-Learning Content Services by Adapting to Multiple Feedback Using Mobile Agents},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={620-623},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012610200003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Providing Personalized E-Learning Content Services by Adapting to Multiple Feedback Using Mobile Agents
SN - 978-989-758-661-3
AU - Jain A.
AU - George J.
PY - 2023
SP - 620
EP - 623
DO - 10.5220/0012610200003739
PB - SciTePress