Design and implementation of an indoor environment management system using a deep reinforcement learning approach

Alferidi, Ahmad; Alsolami, Mohammed; Lami, Badr; Slama, Sami Ben

doi:10.1016/j.asej.2023.102534

Cited by 3 publications

(1 citation statement)

References 48 publications

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“…Different learners may benefit from distinct features, interfaces, or instructional methods within the LMS [25]. The article seeks to contribute to the ongoing discourse on personalized learning experiences and how adapting LMS components to individual learning styles can enhance engagement, comprehension, and overall satisfaction [26].…”

Section: Introductionmentioning

confidence: 99%

Blended learning implementation of outcome-based education curriculum in learning management systems

Ni’mah,

Solihin,

Sari

2024

E3S Web Conf.

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This research explores the integration of Outcome-Based Education (OBE) into the curriculum through a blended learning approach within the Learning Management System (LMS) in secondary education. The study employs a systematic methodology, commencing with an in-depth literature review to establish a robust theoretical framework. The focused observational technique involves participant observation with student groups. The research aims to observe the direct implementation of outcome-based education through a blended learning platform, emphasizing student interactions and teaching effectiveness. The primary contribution of this study lies in discovering the implementation methods of outcome-based education on an LMS platform, which has a significant impact on integrating more effective assessment methods for student learning outcomes. The holistic approach of this study provides a comprehensive understanding of the dynamics and effectiveness of outcome-based curricula through blended learning in the Learning Management System in secondary education settings. The research findings indicate a success rate, demonstrating an average increase in student interest of 11.93122.

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Section: Introductionmentioning

confidence: 99%

Blended learning implementation of outcome-based education curriculum in learning management systems

Ni’mah,

Solihin,

Sari

2024

E3S Web Conf.

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Towards sustainable smart cities: Integration of home energy management system for efficient energy utilization

Ghanavati,

Matias,

Osório

2024

Sustainable Cities and Society

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Location-Based Services for Indoor Environments: A User Experience Test

Tatiana Sergeevna,

Nautiyal,

Bhalla

et al. 2024

BIO Web Conf.

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The location-based services (LBS) user experience in controlled indoor settings in this scientific research. The environments included a range of user demographics, device configurations, and ambient factors. According to our findings, customer satisfaction ratings ranged from 5 to 9 on a scale of 1 to 10, and the average location accuracy was 1.1 meters (±0.4 meters) across various interactions and locales. These conclusions were supported by qualitative comments, which expressed satisfaction with the effectiveness of the check-in procedures and the practicality of several LBS features. Negative reviews, on the other hand, revealed difficulties with positioning technology accuracy, highlighting the intricate interactions among variables influencing indoor location-based services user experiences. This study provides a solid scientific basis for indoor location-based services (LBS) optimization, highlighting the need of tackling practical issues to improve user contentment and the usefulness of such services in indoor environments.

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Design and implementation of an indoor environment management system using a deep reinforcement learning approach

Cited by 3 publications

References 48 publications

Blended learning implementation of outcome-based education curriculum in learning management systems

Blended learning implementation of outcome-based education curriculum in learning management systems

Towards sustainable smart cities: Integration of home energy management system for efficient energy utilization

Location-Based Services for Indoor Environments: A User Experience Test

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