System Architecture of a Student Relationship Management System using Internet of Things to collect Digital Footprint of Higher Education Institutions

Songsom, Nualsri; Nilsook, Prachyanun; Wannapiroon, Panita; Fung, Chun Che; Wong, Kok Wai

doi:10.3991/ijet.v14i23.11066

Cited by 27 publications

(17 citation statements)

References 7 publications

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“…Online education increases communication and timely feedback on the course, but it's also faced with some challenges, e.g., online teachers can encounter different technical problems (such as network connection, hardware incompatibility), students lack the experiences in online education, and there is some difficulty in teaching certain procedural topics online [23][24][25]. Despite of these problem, the new online teaching method has still become an important auxiliary measure of traditional teaching [26,27].…”

Section: Introductionmentioning

confidence: 99%

Application of Computer in Online Teaching of Professional Courses

Jin

2020

Int. J. Emerg. Technol. Learn.

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Due to the ongoing public health crisis, computer online teaching has become a new normal. It is very meaningful to explore how to effectively apply computer in online teaching. In this paper, the online teaching situation of teachers and students in a college was surveyed and analyzed. Then, DingTalk, the most popular online teaching platform among the respondents, was introduced in details. Next, the online teaching situation was tracked, and the learning situation was evaluated in terms of pre-class preparation, in-class teaching, and after-class homework. After that, the satisfaction with the course design and teaching effect was surveyed. The results show that the students felt satisfied with the course design, but regarded practical teaching a weak link in online teaching; the students highly recognized the work attitude, teaching ability, and interactive ability of their teachers, yet calling for better innovation awareness among teachers. The research results provide a good reference for computer-based online teaching of professional courses.

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Section: Introductionmentioning

confidence: 99%

Application of Computer in Online Teaching of Professional Courses

Jin

2020

Int. J. Emerg. Technol. Learn.

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“…Which is Thanachawengsakul et al [25] conducted to the knowledge repository management system architecture of digital knowledge engineering using machine learning to promote software engineering competencies research has found that 4 past of component as follow 1) device service, 2) application service, 3) module service of the KRMS-SWE and 4) machine learning service and storage unit. And also, Songsom et al [26] studies system architecture of a student relationship management system using internet of things to collect digital footprint of higher education institutions research has found that 6 past of component as follow 1) service stations, 2) system identification, 3) system integration API, 4) SRM internal system, 5) report analytic and 6) web server and database server. In this research, Baptista et al [20] have been working on research into digitalizing the digital workforce in modern organizations to digitize and transform organizations into a digital society.…”

Section: Intelligent Interactive Learning Platformmentioning

confidence: 99%

Intelligent Interactive Learning Platform for Seamless Learning Ecosystem to Enhance Digital Citizenship’s Lifelong Learning

Pornpongtechavanich

Wannapiroon

2021

Int. J. Emerg. Technol. Learn.

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The purpose of this research is to: 1) synthesize documents and international research of intelligent interactive learning platforms for seamless learning ecosystems to enhance citizens’ lifelong digital learning 2) design an intelli-gent interactive learning platform for a seamless learning ecosystem to en-hance citizens’ lifelong digital learning 3) assess the suitability of the intelligent interactive learning platform for seamless learning ecosystem. Ten experts were selected. They had to have had more than five years of relevant experience in the field consisting of expertise in System. Architec-ture, intelligent learning platforms, seamless learning ecosystems and citi-zens’ lifelong digital learning. The research instruments were a suitability as-sessment form for an intelligent interactive learning platform for seam-less learning ecosystems to enhance citizens’ lifelong digital learning. The results of this research found that the intelligent interactive learning plat-form for a seamless learning ecosystem to enhance citizens’ lifelong digital learning, was developed and it was appropriate.

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“…The development of education with the application of IoT will increase efficiency and support a smart higher education institution. The key step in system development is the analysis of the organization architecture and system design that brings IoT into use to manage the organization's infrastructure system [48]. Smart education management is a type of management and learning environment that combines operations with services based on the internet and through various technology applications.…”

Section: E Smart Education Managementmentioning

confidence: 99%

Blockchain, IoT and Fog Computing for Smart Education Management

Chaiyarak

Koednet

Nilsook

2020

International Journal of Education and Information Technologies

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The objective of this research is to present the use of blockchain technology, the internet of things and fog computing to develop the potential of school management for smart education. By using the blockchain to record and store various pieces of information the organization will create credibility of administrative data in all departments and will reduce corruption. Data can be examined transparently, especially the financial and budget management and procurement of durable articles. Regarding the academic work and registration, it can be used to store learners' information, educational history, information of enrollment, academic results, and participation in the various activities of the educational institutions. It can create credibility in the management of information about content, learning and ability assessment results that students receive, and these can be recorded and stored in a blockchain that can be safely distributed. In addition, IoT and fog computing are integrated with AI systems embedded in various modern devices to be applied in environmental management and smart education management. IoT and fog computing help to support and respond quickly to questions about the use of all types of equipment for real-time management of executives, personnel and students, as well as creating new work and learning styles that can solve the situation of dangerous communicable diseases, such as the COVID-19 situation, or can solve emergency situations that will emerge in the future by working and studying from home. It can organize and share resources for work and learning together to access the organization from outside anywhere and at any time

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System Architecture of a Student Relationship Management System using Internet of Things to collect Digital Footprint of Higher Education Institutions

Cited by 27 publications

References 7 publications

Application of Computer in Online Teaching of Professional Courses

Application of Computer in Online Teaching of Professional Courses

Intelligent Interactive Learning Platform for Seamless Learning Ecosystem to Enhance Digital Citizenship’s Lifelong Learning

Blockchain, IoT and Fog Computing for Smart Education Management

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