คลังเก็บหมวดหมู่: Research

An Information Service Platform for Decision Support in Academic Admissions Using Data Fabrics and Artificial Intelligence

ABSTRACT

This paper presents the architecture of an information service platform for decision support in academic admissions, utilizing data fabrics and artificial intelligence. The factors affecting students’ further education can be classified into four main types: (1) the course, (2) image, (3) personal reasoning of the student, and (4) public relations. The process of providing information for decision support in academic admissions can be divided into six stages: (1) collecting information, (2) matching study guidance, (3) recommending appropriate education, (4) confirming information, (5) assessing student admissions, and (6) providing feedback. Data fabric is an increasingly popular technology application for data management. The data fabric architecture consists of six layers: (1) an augmented data catalog, (2) a knowledge graph enriched with semantics, (3) metadata activation, (4) a recommendation engine for active metadata, (5) data preparation and integration, and (6) orchestration and data operations. A smart decision support system (DSS) technology is used to assist in decision-making. The results showed that this architecture has an excellent level of suitability (mean = 4.56, standard deviation = 0.35). It can be applied to a university to help it become a digital university and align with its mission.

Tasatanattakool, P., Nongnuch, K., Wannapiroon, P., & Nilsook, P. (2023).
An Information Service Platform for Decision Support in Academic Admissions Using Data Fabrics and Artificial Intelligence.
International Journal of Interactive Mobile Technologies (iJIM), 17(21), pp. 34–49. https://doi.org/10.3991/ijim.v17i21.41757

Crystallized Intelligence Wisdom Repository Management System with a Conversational Agent

Abstract

This research was undertaken by synthesizing theories, documents, textbooks, research articles, and related academic articles relating to the wisdom repository management process. The objective is to present a system architecture and develop a knowledge management system which culminates in a repository of crystallized intelligence with a conversational agent that can promote learning for medical students by introducing a system architecture to develop intelligent agent technology. Through mobile technology, accessible anytime, anywhere, lifelong learning for medical students will be supported via an intelligent crystallized intelligence inventory management system. This keynote includes a comprehensive implementation and has API. The application has been tested with a trial run of all commands, with satisfactory results in the communication of the system that the user accesses through chatbots.

Mathuwan Srikong, Panita Wannapiroon & Prachyanun Nilsook (2023)
Crystallized Intelligence Wisdom Repository Management System with a Conversational Agent. International Education Studies, Vol. 16, No.2 (2023) ; p150-163.
https://doi.org/10.5539/ies.v16n2p150

The System Architecture of Intelligent Student Relationship Management Based on Cognitive Technology with Conversational Agent for Enhancing Student’s Loyalty in Higher Education

Abstract

This paper presents the conceptual framework, value chain model and the system architecture of intelligent student relationship management based on cognitive technology with conversational agent for enhancing student’s loyalty in higher education. The purposes were to synthesize the conceptual framework and apply it to develop the value chain model and the system architecture of intelligent student relationship management based on cognitive technology with conversational agent for enhancing student’s loyalty in higher education and assess the developed value chain model and system architecture. The questionnaire was employed as the instrument to assess and certify the value chain model and the system architecture by the experts. The 5 point-Likert scale was used to identify the level of agreement of the value chain model and system architecture certification assessment. The instrument was verified by five experts using content validity index (CVI). After that, the value chain model and the system architecture were verified based on the consensus assessments of seventeen experts using mean, standard deviation (S.D.), median, interquartile range and quartile deviation. The results revealed that the experts had a consensus on the value chain model developed based on the conceptual framework (Mean = 4.89, S.D. = 0.27, Median = 5, Interquartile Range: I.R. = 0.00, Quartile Deviation: Q.D. = 0.00). They also had a consensus to approve the system architecture developed based on the value chain model (Mean = 4.70, S.D. = 0.55, Median = 5, Interquartile Range: I.R. = 1.00, Quartile Deviation: Q.D. = 0.50).

Nutthapat Kaewrattanapat, Panita Wannapiroon & Prachyanun Nilsook (2023) The System Architecture of Intelligent Student Relationship Management Based on Cognitive Technology with Conversational Agent for Enhancing Student’s Loyalty in Higher Education.
International Education Studies, Vol. 16, No.2 (2023) ; p103-116.
https://doi.org/10.5539/ies.v16n2p103

The Landscape of Digital Technology to Enhance the Digital Researcher

Abstract

The objectives of this research were to synthesize the competencies of the digital researcher, carry out an empirical investigation of the digital researcher landscape, and evaluate the results of a synthesis of digital researcher competency. To conduct the research, the researchers carried out a review of the literature related to researcher competency, digital competency, digital researcher competency and digital technology for researchers. Then, a focus group discussed the conclusion of the digital technology landscape used to enhance the digital researcher. The results showed that digital researchers’ competency had six features: 1) Personalize and Security Competency, 2) Literature Review and Reference Management Competency, 3) Communication and Collaboration Management Competency, 4) Analyzing and Reporting Competency, 5) Proofreading and Plagiarism Checking Competency, and 6) Publication Competency.

Siwaporn Linthaluek, Panita Wannapiroon & Prachyanan Nilsook (2023)
The Landscape of Digital Technology to Enhance the Digital Researcher.
International Education Studies, Vol. 16, No.2 (2023) ; p180-192
https://doi.org/10.5539/ies.v16n2p180

Imagineering MOOC Instructional Design Model to Enhance Creative Thinking and Creative Health Media Innovation

ABSTRACT
The research aims to redesign and develop the Imagineering MOOC Instructional Design model (I-MOOC ID model) to enhance creative thinking and creative health media innovation. The exploratory sequential design mixed-method research method was used, and it was
divided into three phases: (1) investigation and synthesis of the composition of the I-MOOC ID model based on qualitative research methods by using scoping reviews; (2) redesign and validation of the I-MOOC ID model based on quantitative research methods through measurement of items with the Content Validity Index (CVI); and (3) assessment of the suitability of the I-MOOC ID model based on quantitative research methods. The findings indicate that:
(1) The I-MOOC ID model is composed of five compositions: 1) educational stakeholders; 2) the Imagineering learning experience cycle, which consists of nine steps: inspire, imagine, design, develop, present, publish, improve, evaluate, and reflect; 3) the MOOC learning platform;
4) the course syllabus; and 5) authentic assessment; (2) The I-MOOC ID model has five main processes and 16 sub-processes; and (3) The experts agreed with the overall model in terms of the instructional design based on integrating technological pedagogical content knowledge (TPACK) in the digital age to develop learners’ learning outcomes and rated the suitability of the model as most suitable, with a combined mean of 4.72. The standard deviation was 0.47.
KEYWORDS
Imagineering, MOOC, Instructional Design model, creative thinking, creative health media innovation

Nittayathammakul, V., Rattanasak, S., Wannapiroon, P., Nilsook, P., Arora, R., Thararattanasuwan, K. (2023). Imagineering MOOC Instructional Design Model to Enhance Creative Thinking and Creative Health Media Innovation. International Journal of Emerging Technologies in Learning (iJET), 18(19), pp. 84–102. https://doi.org/10.3991/ijet.v18i19.38129

A constructionist, imagineering learning system with the metaverse: a study of learning outcomes at secondary schools in Thailand

ABSTRACT: The constructionist, imagineering learning system with the metaverse (CILM) is a tool that was designed to promote self-directed learning in both the virtual and physical world. In the metaverse world, users must simulate themselves into avatars to access the system, so they can learn by doing and present their works by means of virtual
technology. This study is based mainly on the concepts related to technologies and platforms in the virtual world, as well as teaching platforms in the new normal era in Thailand. The aim is to facilitate continuous learning anywhere and anytime by making the ultimate use of existing technologies in education management in Thailand, and to pave ways for young innovators in the digital age. The results of this study indicate that the CILM is an efficient tool to promote learning through the virtual world, and that young learners capable of creating innovations can work and add new knowledge to that space that can be further utilised or transferred to others. Furthermore, the system can increase the learning achievement of its users thanks to the application of digital technologies and tools that satisfy the needs of learners.

Suputtra Sapliyan, Pinanta Chatwattana & Prachyanun Nilsook (2023)
A constructionist, imagineering learning system with the metaverse: a study of learning outcomes at secondary schools in Thailand.
Global Journal of Engineering Education. Vol. 25, No.2 (2023) ; pp 90-98.
http://www.wiete.com.au/journals/GJEE/Publish/vol25no2/05-Chatwattana-P.pdf

The Development of Agile Enterprise Architecture for Digital Transformation in Higher Education Institutions.

Abstract

The rapid evolution of digital technologies has led to significant transformations in various industries, including higher education. This study explores the role of Agile Enterprise Architecture (AEA) in supporting digital transformation initiatives within Higher Education Institutions (HEIs). AEA provides a flexible, adaptive, and iterative framework to manage the complex and dynamic nature of digital transformation. We conducted a qualitative study using a multiple case-study approach, investigating four HEIs that implemented AEA in their digital transformation initiatives. Data were collected through semi-structured interviews, document analysis, and participant observation. We employed thematic analysis to identify the key factors contributing to the successful implementation of AEA in these institutions. Our findings revealed that AEA plays a crucial role in facilitating digital transformation by providing a holistic, systematic, and adaptive framework. The AEA approach enables HEIs to effectively manage the complexities of digital transformation, enhance their agility, and respond to changing stakeholder needs. Key success factors include strong leadership, effective communication, a skilled workforce, and a culture of collaboration and continuous improvement. The study contributes to the understanding of AEA’s role in promoting digital transformation in higher education and offers practical implications for HEIs looking to leverage digital technologies for improved performance and stakeholder satisfaction. Further research is needed to explore the generalizability of these findings to other contexts and industries.

Sirinuch Sararuch, Panita Wannapiroon and Prachyanun Nilsook (2023)
The Development of Agile Enterprise Architecture for Digital Transformation in Higher Education Institutions.
Higher Education Studies. Vol. 13, No. 3 (2023) ; pp 69-83.
https://doi.org/10.5539/hes.v13n3p69

A Systematic Review of the Intelligent Digital Storytelling Process in Disseminating Health Information

ABSTRACT

Digital storytelling is a new concept in education that involves creating meaning. It is a tool with great potential, but in Thailand, it is currently not very popular in terms of sharing stories about disease. This review analyzes the components and processes of intelligent digital storytelling to aid the development of an intelligent digital storytelling platform for disseminating health information. Based on the synthesis of relevant documents, the research process involves 9 main steps: 1) identifying the review objectives, 2) reviewing research questions, 3) determining inclusion criteria, 4) finding relevant studies, 5) selecting documents, 6) data extraction, 7) arriving at a conclusion, 8) document synthesis and 9) discussion of the results. A study of articles from the PRISMA Checklist published between 2017 and 2022 revealed that ultimately only 47 articles met the inclusion criteria. From the analysis of the data, it was found that there are four main elements and 16 sub-components of intelligent digital storytelling. There are 12 steps in the process of intelligent digital storytelling with regard to health information dissemination. The optimal length of an intelligent digital narrative video clip relating to health information dissemination is approximately 2-5 minutes when it comes to achieving the best knowledge of health information.

Kawitsara Eambunnapong, Prachyanun Nilsook and Panita Wannapiroon (2023) A Systematic Review of the Intelligent Digital Storytelling Process in Disseminating Health Information.
International Journal of Online and Biomedical Engineering, (2023), 200-223, 19(07).
https://doi.org/10.3991/ijoe.v19i07.37431

Total learning experience (TLE) on the cloud with an intellectual repository to enhance digital empathy and literacy skills

Abstract

The total learning experience (TLE) model on the cloud with an intellectual repository is a tool that can be employed to promote limitless self-learning by means of active learning. In this model, learners are encouraged to have real experiences and face challenges leading to the creation of new knowledge and enrichment of their existing knowledge. This model can also be applied in other contexts, which can be done by integrating the concepts of technologies and new platforms offering experience-based instruction to create new ways of instructional design. Moreover, the model can be utilised in the current instruction management approach that usually focuses on continuous learning with the aid of technology. The results of this research can be used as a guideline for the design and development of the TLE system using an intellectual repository, which encourages experiential learning and generates new knowledge through self-learning with the aid of digital technology. In addition, this kind of learning promotes the exchange of knowledge through on-line social networks, thus contributing to the development of digital empathy and literacy skills, and the creation of a learning society. © WIETE 2022.

Author keywords

digital empathy; intellectual repository; literacy skills; Total learning experience on the cloud

Chatwattana, P., Piriyasurawong, P., Nilsook, P., & Wannapiroon, P. (2023). Total learning experience (TLE) on the cloud with an intellectual repository to enhance digital empathy and literacy skills. Global Journal of Engineering Education, 24(3), 193-201.

http://www.wiete.com.au/journals/GJEE/Publish/vol24no3/04-Chatwattana-P.pdf

Synthesis of Digital Fabrication Laboratory for Higher Education

Abstract:In this paper, the researcher would like to discuss the processes and components of Digital Fabrication Laboratory for higher education in order to create Digital Fabrication Laboratory for higher education. There are 2 steps of research procedures: 1. gathering information from articles and papers related to the processes and components of the Digital Fabrication Laboratory for higher education, and 2. analyzing and synthesizing the processes and components of Digital Fabrication Laboratory for higher education. The findings revealed that there were 4 processes of Digital Fabrication Laboratory: 1. design, 2. prepare, 3. fabricate, and 4. Assembly and installation. The 4 components of Digital Fabrication Laboratory were 1. hardware, 2. software, 3. material and 4. storage and simulator tools online.

S. Sopapradit, P. Nilsook and P. Wannapiroon, “Synthesis of Digital Fabrication Laboratory for Higher Education,”
2023 IEEE 12th International Conference on Educational and Information Technology (ICEIT), Chongqing, China, 2023, pp. 120-124, https://doi.org/10.1109/ICEIT57125.2023.10107847.