The Student Relationship Management System Process with Intelligent Conversational Agent Platform

The objectives of the study were as follows: (1) to study the student relationship management system process with intelligent conversational agent platform, (2) to design the student relationship management system process with intelligent conversational agent platform, and (3) to evaluate the student relationship management system process with intelligent conversational agent platform provided by seven experts who had experience in a related field. The study findings suggested that the student relationship management system process with intelligent conversational agent platform consists of four main dimensions: (1) Strategic, (2) Operational, (3) Analytical, and (4) Collaborative. After analyzing the data, it showed that the overall result of the evaluation of the student relationship management system process with intelligent conversational agent platform was at a very high appropriate level, which can be applied to real situations.

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The Synthesis of the Student Relationship Management System Using the Internet of Things to Collect the Digital Footprint for Higher Education Institutions

International Journal of Online and Biomedical Engineering (iJOE) ◽

10.3991/ijoe.v15i06.10173 ◽

2019 ◽

Vol 15 (06) ◽

pp. 99 ◽

Cited By ~ 3

Author(s):

Nualsri Songsom ◽

Prachyanun Nilsook ◽

Panita Wannapiroon

Keyword(s):

Higher Education ◽

Internet Of Things ◽

Management System ◽

Higher Education Institutions ◽

Relationship Management ◽

The Internet ◽

Digital Footprint ◽

Five Elements ◽

Student Relationship ◽

The Internet Of Things

<p class="0abstract">The purpose of this research were to synthesize and to evaluate the element of student relationship management system using the internet of things to collect digital footprint for higher education institutions. The results of the research showed that the student relationship management system using the internet of things had five elements which were 1)identify module, 2)alert module, 3)tracking module, 4)SRM module and 5)analytic module. The evaluation result of the student relationship management system using the internet of things to collect digital footprint for higher education institutions had the overall appropriateness at very much level and the overall appropriateness of usability result at very much level.</p>

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System Design of a Student Relationship Management System Using the Internet of Things to Collect the Digital Footprint

International Journal of Information and Education Technology ◽

10.18178/ijiet.2020.10.3.1367 ◽

2020 ◽

Vol 10 (3) ◽

pp. 222-226

Author(s):

Nualsri Songsom ◽

◽

Prachyanun Nilsook ◽

Panita Wannapiroon ◽

Lance Chun Che Fung ◽

...

Keyword(s):

Internet Of Things ◽

System Design ◽

Management System ◽

Relationship Management ◽

The Internet ◽

Digital Footprint ◽

Student Relationship ◽

The Internet Of Things

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

International Journal of Emerging Technologies in Learning (iJET) ◽

10.3991/ijet.v14i23.11066 ◽

2019 ◽

Vol 14 (23) ◽

pp. 125

Author(s):

Nualsri Songsom ◽

Prachyanun Nilsook ◽

Panita Wannapiroon ◽

Lance Chun Che Fung ◽

Kok Wai Wong

Keyword(s):

Higher Education ◽

Internet Of Things ◽

System Architecture ◽

System Development ◽

Higher Education Institutions ◽

Relationship Management ◽

Digital Footprint ◽

Student Relationship ◽

High Level ◽

Very High

Effective system development to support higher education institutions is important. There are two steps in developing a good system and they are system architecture analysis and design. The first task of this research is to design the use case diagrams, system overview and the system architecture. The second is to evaluate the system architecture of a proposed Student Relationship Management (SRM) system using Internet of Things (IoT) to collect digital footprint of higher education institutions. The outcome of this research include the system architecture of the proposed student relationship management system (SRMS)-IoT consists of six main parts: 1) service stations, 2) system identification, 3) system integration API, 4) SRM internal system, 5) report analytic and 6) web server and database server. Evaluation of the results shows an overall appropriateness at a very high level: the overall appropriateness of usability result was also at a very high level, which shows that this research is appropriate to be used as a guideline for further system development to support student services, and to promote learning and analysis of student behaviours in higher education institutions.

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