คลังเก็บป้ายกำกับ: ผลงานวิจัย

Needs Assessment in the use of Digital Technology for Learning Loss Recovery of Students at the Basic Education Level

Abstract

Globally, COVID-19 has disrupted educational practices, causing basic education institutions in Thailand to close temporarily. Schools in Thailand as well as the world over have switched to online learning environments to guarantee students’ educational continuation. The purposes of this study were firstly  to determine whether digital technology is required for learning loss recovery; secondly, to conduct a systematic literature review using bibliometric keywords; thirdly, to assess the need for using digital technology to recover students’ learning losses at the basic education level, both during and after the COVID-19 pandemic, and finally, to summarize data in an infographic landscape format pertaining to this topic. A questionnaire survey was conducted with 600 online respondents from throughout Thailand. The respondents included 56 educational supervisors, 40 school administrators, and 504 teachers. The results show that the following can be used: (a) student communication websites and applications, (b) student work acceptance websites and applications, (c) learning management systems, (d) digital media libraries, (e) online assessment tools, and (f) teaching methods and tools for future use. The respondents indicated that students have learning loss relating to (a) morality, ethics and manners, (b) good citizenship, (c) imagination and creativity, (d) health promotion, and (e) mathematical processes.

Kitiya Promsron, Prachyanun Nilsook, jira Jitsupa, Watcharee Sangboonraung, Orawan Saeung and Wilawan Jinwan (2024)
Needs Assessment in the use of Digital Technology for Learning Loss Recovery of Students at the Basic Education Level.
International Journal of Learning, Teaching and Educational Research.
Vol. 23, No. 1, pp. 59-83, January 2024. https://doi.org/10.26803/ijlter.23.1.4

System Architecture of Electronic Asset Supply Chain Intelligent Platform for Digital Higher Education

Denchai Panket, Panita Wannapiroon & Prachyanun Nilsook (2024)
System Architecture of Electronic Asset Supply Chain Intelligent
Platform for Digital Higher Education.
Higher Education Studies; Vol. 14, No. 1; 2024, pp.22-32.
https://doi.org/10.5539/hes.v14n1p22

Abstract

This research aims to design an intelligent platform architecture for electronic asset supply chains for digital higher education and to evaluate the architecture of the intelligent platform for electronic asset supply chains for digital higher education. The sample group consists of evaluations of the intelligent platform architecture for the electronic asset supply chains for digital higher education by experts. These experts assess and certify the appropriateness of the architecture, evaluating the content’s suitability and the management processes. The evaluations were conducted by 5 experts who have experience in managing assets in higher education or relevant areas. The research results indicate that the designed intelligent platform architecture for electronic asset supply chains for digital higher education, on average, scored 4.43, which is considered ‘good’. The evaluation of its developmental trend from architecture to platform has an average score of 4.80, considered ‘very good’. Following that, both the system (Administrators) and the (Webserver and Database Server) evaluations yielded the same average score of 4.60, which is also ranked as ‘very good.’

A Fabricator Competency for Engineering Students in Tertiary Education

ABSTRACTThis article presents the development of fabricator competency for engineering students in tertiary education during the seamless era. This study explored the approach to synthesizing, designing, and developing fabricator competency. The study identified six key components of fabricator competency: 1) Knowledge of materials, 2) Problem-solving and design, 3) Using design software, 4) Using hardware and machines, 5) Safety knowledge and awareness, and 6) Communication and publication. This study emphasizes the importance of human poten-tial development, specifically in the case of engineering students in tertiary education. A com-petency framework for a fabricator in the seamless era has been developed by synthesizing, designing, and developing fabricator competencies based on published research on fabrica-tor competency.

Srisawat, S., Wannapiroon, P., Nilsook, P. (2023). A Fabricator Competency for Engineering Students in Tertiary Education.
International Journal of Engineering Pedagogy (iJEP), 13(8), pp. 117–130.
https://doi.org/10.3991/ijep.v13i8.41653

Coordination Mechanisms and Systems to Enhance Thai Early Childhood Development Management Efficiency

Abstract

Objective: The study aimed to enhance the efficiency of Thai early childhood development management by developing coordination mechanisms and systems.

Theoretical framework: A mixed-methods approach was utilized, including an online structured interview of six ECDM policymakers, content analysis of the data, and four focus group discussions with ten individuals from various sectors.

Method: A draft handbook for coordination mechanisms and systems was processed using an online connoisseurship seminar, and an opinion questionnaire was collected from 200 executives and practitioners in four Thai regions using Google Forms.

Results and conclusion: The results identified four mechanisms for driving an effective early childhood development management coordination system: national, provincial, subdistrict, and coordination. These mechanisms comprised an information and communication technology system, a management system, a resource management system combined with budget planning, and a supervision, monitoring, and evaluation system. In conclusion, three stages of policy recommendations were proposed: urgent, intermediate, and long-term.

Implications of the research: The study provides valuable insights into how a developing nation in Southeast Asia can direct critical resources in developing early childhood management efficiency at all levels.

Originality/value: The study gives a unique insight into early childhood development management in a developing Southeast Asian nation and significantly contributes to the literature because of its uniqueness.

Werayut Chatakan, Phanagrid Boonpob, Nopparat Chairueang, Julalax Sutra, Naruporn Thitipraserth and Prachyanun Nilsook. (2023)
Coordination Mechanisms and Systems to Enhance Thai Early Childhood Development Management Efficiency. Tuijin Jishu/Journal of Propulsion Technology. Vol. 44 No. 5 (2023) ; pp.830-842.
https://www.propulsiontechjournal.com/index.php/journal/article/view/2699

Constructionism Imagineering Learning Model via Metaverse to Enhance Young Innovators

Abstract

Constructionism imagineering learning model via metaverse is an instrument for promoting self-learning through hands-on. To create new knowledge for young innovators by combining the concepts of technology and new learning platforms to create new ideas. Designing teaching and learning that can be used to learn in the new normal focuses on continuous learning at any time, anywhere, with the benefits of using technology. The sample group is six experts in designing and developing learning models and learning systems from various institutions in higher education by purposive sampling. The research instruments are as follows. 1) The constructionism imagineering learning model via metaverse to enhance young innovators. 2) The constructionism imagineering learning process via metaverse to enhance young innovators. 3) An assessment form for the constructionism imagineering learning model via metaverse to enhance young innovators. 4) An assessment form for the constructionism imagineering learning process via metaverse to enhance young innovators. Analyse data using mean and standard deviation. The researchers found that the constructionism imagineering learning model via metaverse and the constructionism imagineering learning model via metaverse, which is developed is appropriate to enhance young innovators at the highest level, following the research hypotheses.

Suputtra Sapliyan, Pinanta Chatwattana & Prachyanun Nilsook (2023)
Constructionism Imagineering Learning Model via Metaverse to Enhance Young Innovators. Journal of Education and Learning; Vol. 12, No. 4; 2023 ; pp.81-91. (ERIC)
https://doi.org/10.5539/jel.v12n4p81

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