Human machine interaction-assisted smart educational system for rural children

Wei, Na; Yang, Feng; Muthu, BalaAnand; Shanthini, A.

doi:10.1016/j.compeleceng.2022.107812

Cited by 9 publications

(2 citation statements)

References 18 publications

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“…To accomplish the goal of acknowledgment, recognition of images systems often access a comprehensive database to which they may compare the extracted picture attributes (I. Lee & Perret, 2022) [15]. The larger the database's size, the better the precision of picture identification because of the more extensive, multifaceted, and diversified picture information.…”

Section: Photographic Archivementioning

confidence: 99%

Design and Integration of Intelligent Classroom for Preschool Education Majors Based on Computer Visual Recognition Technology Computer

Yabo Yang

2024

jes

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Childhood development students may greatly benefit from the creation and implementation of a cognitive smart lesson that utilizes computer vision technologies. By analyzing and interpreting visual information gathered during lessons in real time, this equipment may be utilized to improve instruction while giving pupils more opportunities for individualized education. Participants' existence, gestures, and movements may be detected in interactive classrooms by installing many sensors and analyzing the resulting pictures via artificial intelligence techniques. This information is then utilized to give pupils more specific input, modify the learning method, and pinpoint problematic areas for improvement. Implementation of such devices in school settings has the potential to raise educational standards by promoting greater pupil involvement and engaged study. In addition to tracking learner growth, instructors may utilize such equipment to pinpoint areas of struggle so they can better customize the material for every learner. One objective of such a study is to create an engaging picture-based study and teaching platform tailored to preschoolers by using intelligent sensing' picture-of-image technologies. Utilizing the algorithm for BP neural networks and the ImageNet, Microsoft Common Objects in Context (MS COCO) , Modified National Institute of Standard and Technology (MNIST), and Chars74K datasets, this article creates a photograph recognition framework that can carry out the majority of its identification acts and integrates it into the educational program using an imagine for pictures. The picture machine learning algorithm has a high precision rate, with a total precision rate of 85.16%. The system offers an improved identification rate, greater instructional effectiveness, and more interactive features than the conventional approach to early childhood education. It has an excellent dynamic impact on learning because it can identify nearly every one of the items kids touch. Early childhood children may benefit greatly from an extra dynamic and individualized educational setting made possible by the introduction of technological vision technologies into a smart teaching. The adoption of computerized visual identification technologies within intelligence classrooms may not only improve the educational and learning experience but also provide vital data for research. Researchers and instructors may learn more about students' learning styles and most beneficial methods of instruction via real-time monitoring of pupil conduct and educational patterns. This information may be utilized to better improve the field of pediatrics by informing the creation of new methods of instruction, resources for learning, and technological tools.

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Section: Photographic Archivementioning

confidence: 99%

Design and Integration of Intelligent Classroom for Preschool Education Majors Based on Computer Visual Recognition Technology Computer

Yabo Yang

2024

jes

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“…Smart Education is an appealing system compared to traditional education because of the novelty in teaching styles. Smart Education usually includes unique learning methods, such as gamification, interactive and collaborative groups, tactile-auditory presentation, and simulations [313,314].…”

Section: Smart Educationmentioning

confidence: 99%

Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review

Alabdali,

Pileggi,

Cetindamar

2023

Sustainability

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Smart Technology is a quickly and constantly evolving concept; it has different applications that cover a wide range of areas, such as healthcare, education, business, agriculture, and manufacturing. An effective application of these technologies increases productivity and performance within complex systems. On one side, trends show a lack of appeal for rural environments as people prefer to move to cities, looking for better opportunities and lifestyles. On the other side, recent studies and reports show that the attractiveness of rural areas as places with opportunities is increasing. Sustainable solutions are needed to enhance development in the rural context, and technological innovation is expected to lead and support the stability for people and organizations in rural regions. While Smart City is progressively becoming a reality and a successful model for integrating Smart Technology into different aspects of everyday life, its effective application in a rural context according to a Sustainable Development approach is not yet completely defined. This study adopts comparative and categorial content analysis to address the different applications and the specific characteristics of rural regions, which often present significant peculiarities depending on the country and the context. The main goal is to investigate and discuss how the Smart City model may be adopted and effectively applied within rural contexts, looking at major gaps and challenges. Additionally, because of the complexity of the topic, we provide an overview of the current adoption of Smart Technology in the different applications in rural areas, including farming, education, business, healthcare, and governance. The study highlights the huge difficulties in rural life and the potentiality of Smart Technology to enhance their Sustainable Development, which is still challenging. While the holistic analysis clearly points out a gap, there is no specific strategic roadmap to re-use or adapt existing models, such as Smart City. The study does not address fine-grained indicators.

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Rural Inclusive Finance and Agricultural Carbon Reduction: Evidence from China

Li,

Jiang

2024

J Knowl Econ

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Human machine interaction-assisted smart educational system for rural children

Cited by 9 publications

References 18 publications

Design and Integration of Intelligent Classroom for Preschool Education Majors Based on Computer Visual Recognition Technology Computer

Design and Integration of Intelligent Classroom for Preschool Education Majors Based on Computer Visual Recognition Technology Computer

Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review

Rural Inclusive Finance and Agricultural Carbon Reduction: Evidence from China

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