A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Smart educational tools and learning management systems: supportive framework
https://orcid.org/http://orcid.org/0000-0003-4855-2720
Owing to the fast pace of growing educational needs, the deployment of smart educational tools along with highly productive and effective learning management systems are of supreme importance. Considering the advantages of classical flow theory, herein, we proposed a synergistic framework by combining the key elements of smart technology with a flow theory approach that can induce the overall learning efficacy with an added value of maintaining the smart learning and management environment. The given framework integrates numerous technological and communication tools to activate the learning process to adjust/maintain the requirements of different students under one umbrella. The proposed framework with positive outcomes can help to avoid discrimination and boost the confidence of low-level/low-grade students with a positive learning environment. Moreover, the learning efficacy and quality can be substantially improved via consistent monitoring and analyzing the student’s performance via information processing platforms based on the internet of things (IoT). However, designing the IoT applications for different level students in one class is a challenging issue and needs careful standardization. In this framework, this work aims to assist users in developing skills, adapt, and use technologies in a learning context to produce fruitful learning outcomes, which leads to big data.
Smart educational tools and learning management systems: supportive framework
https://orcid.org/http://orcid.org/0000-0003-4855-2720
Owing to the fast pace of growing educational needs, the deployment of smart educational tools along with highly productive and effective learning management systems are of supreme importance. Considering the advantages of classical flow theory, herein, we proposed a synergistic framework by combining the key elements of smart technology with a flow theory approach that can induce the overall learning efficacy with an added value of maintaining the smart learning and management environment. The given framework integrates numerous technological and communication tools to activate the learning process to adjust/maintain the requirements of different students under one umbrella. The proposed framework with positive outcomes can help to avoid discrimination and boost the confidence of low-level/low-grade students with a positive learning environment. Moreover, the learning efficacy and quality can be substantially improved via consistent monitoring and analyzing the student’s performance via information processing platforms based on the internet of things (IoT). However, designing the IoT applications for different level students in one class is a challenging issue and needs careful standardization. In this framework, this work aims to assist users in developing skills, adapt, and use technologies in a learning context to produce fruitful learning outcomes, which leads to big data.
Smart educational tools and learning management systems: supportive framework
https://orcid.org/http://orcid.org/0000-0003-4855-2720
Owing to the fast pace of growing educational needs, the deployment of smart educational tools along with highly productive and effective learning management systems are of supreme importance. Considering the advantages of classical flow theory, herein, we proposed a synergistic framework by combining the key elements of smart technology with a flow theory approach that can induce the overall learning efficacy with an added value of maintaining the smart learning and management environment. The given framework integrates numerous technological and communication tools to activate the learning process to adjust/maintain the requirements of different students under one umbrella. The proposed framework with positive outcomes can help to avoid discrimination and boost the confidence of low-level/low-grade students with a positive learning environment. Moreover, the learning efficacy and quality can be substantially improved via consistent monitoring and analyzing the student’s performance via information processing platforms based on the internet of things (IoT). However, designing the IoT applications for different level students in one class is a challenging issue and needs careful standardization. In this framework, this work aims to assist users in developing skills, adapt, and use technologies in a learning context to produce fruitful learning outcomes, which leads to big data.
Smart educational tools and learning management systems: supportive framework
Int J Interact Des Manuf
Iqbal, Hafiz M. N. (author) / Parra-Saldivar, Roberto (author) / Zavala-Yoe, Ricardo (author) / Ramirez-Mendoza, Ricardo A. (author)
2020-12-01
15 pages
Article (Journal)
Electronic Resource
English
Smart tools , Smart education , Learning efficacy , Internet of things , e-Learning , Big data , Learning framework Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
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