คลังเก็บรายเดือน: ตุลาคม 2023

Research, ผลงานตีพิมพ์, ผลงานวิจัย

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

Research, ผลงานตีพิมพ์, ผลงานวิจัย

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

Research, ผลงานตีพิมพ์, ผลงานวิจัย

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

Research, ผลงานตีพิมพ์, ผลงานวิจัย

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