Abstract

This research aimed to develop the Learning Experience of Lanna Wisdom Using the Metaverse Towards a Creative Economy Model (LEX-LA) Creative Journey and evaluate its appropriateness. The study was conducted in 2 phases. The first phase involved designing a learning experience framework that integrates Lanna local wisdom with metaverse technology, based on experiential learning theory and user-centered design. The second phase focused on validating the model through expert review. The LEX-LA Creative Journey comprises 5 stages: cultural context immersion, knowledge co-construction, digital application, creative product development, and reflective feedback. Experts in educational technology and digital marketing communication affirmed the model’s relevance and quality. Notably, the stages emphasizing creativity and cultural engagement were recognized as being particularly impactful. The findings suggest that the LEX-LA Creative Journey enhances learners’ creative capacity and supports the development of cultural entrepreneurship, contributing to the sustainable growth of the creative economy. © 2025 by the authors.

Author keywords

creative economy; Lanna Wisdom; learning experience; learning model; metaverse

Niramol Prasertphongkun, Phobson Tichai, Rueanglada Punyalikhit, Pallop Piriyasurawong, and Prachyanun Nilsook, “Learning Experience of Lanna Wisdom Using the Metaverse towards a Creative Economy,” International Journal of Information and Education Technology, vol. 15, no. 11, pp. 2528-2537, 2025.
https://doi.org/10.18178/ijiet.2025.15.11.2448

Abstract

Medical photographic imaging plays an essential role in the diagnosis, treatment planning, and follow-up care of patients. Medical photographic imaging also plays a vital role in supporting academic/instructional and research documentation and materials. Therefore, to ensure high-quality, reliable, and consistent medical photographic imaging, standardized guidelines for photographing medical patients are needed. Based on a synthesis of relevant published documents, we hypothesized that medical photographic imaging standards can be divided into the following three key domains: 1) characteristics of; 2) essential elements of; and, 3) standardized process of producing good medical photographic imaging. Establishing and consolidating these standards into a medical photographic
imaging guideline for medical clinicians, researchers, and educators will improve the usefulness and consistency of photographic communication of medical patient information. Accordingly, the aim of this study was to establish a medical photographic imaging guideline for use by any subset involved in human patient healthcare, including clinicians, medical imaging specialists, researchers, teachers/students, human healthcare manufacturers/publishers, and government health policy organizations. Moreover, acceptance and establishment of the proposed medical photographic imaging guideline will facilitate and promote improved communication of medical information internationally, making comparisons of treatment and research outcomes more accurate, consistent, and systematic.
The proposed medical photographic imaging guideline represents an important advancement in medical knowledge, including how medical photographic imaging is learned, used, and communicated in clinical practice.

Keywords: 

Standardized medical photographic imaging, medical patients, proposed guideline

Eambunnapong, K., Sombatthawornkun, W., & Nilsook, P. (2025).
Standardized Medical Photographic Imaging of Patients: A Proposed Guideline. Siriraj Medical Journal, 77(11), 818–828. https://doi.org/10.33192/smj.v77i11.277671

Abstract

The increasing integration of artificial intelligence (AI) in education has raised significant questions about its pedagogical value, especially in language learning. This meta-analysis examines the extent to which AI contributes to the development of English-speaking and listening skills. A systematic review of the literature was conducted by the preferred reporting items for systematic reviews and meta-analyses guidelines, utilizing peer-reviewed studies indexed in Scopus, ERIC, and EBSCOhost from 2017 to 2024. Nineteen studies met the inclusion criteria, all of which utilized experimental or quasi-experimental designs with measurable learning outcomes. The analysis reveals a substantial overall effect of AI-enhanced instruction (standardized mean difference [SMD] = 0.981, 95% confidence interval [0.571, 1.391], p < .001), with particularly notable improvements in speaking proficiency (SMD = 1.033). Although listening outcomes showed a positive trend (SMD = 0.714), the effect did not attain statistical significance. Considerable heterogeneity was noted across the studies, reflecting variations in learner populations, instructional contexts, and AI applications. Quality appraisal using the risk of bias in non-randomized studies of interventions framework indicated a predominantly low to moderate risk of bias. Publication bias analysis, including funnel plot symmetry and fail-safe N, further confirmed the reliability of the results. These findings highlight the advantages of AI in enhancing speaking skills within English instruction and underscore the need for further empirical studies to investigate its impact on listening comprehension. Collectively, the results provide timely, evidence-based guidance for educators and policymakers aiming to integrate AI effectively into language education. Highlight the advantages of AI in enhancing speaking skills within English instruction and underscore the need.

Keywords:artificial intelligence, English instruction, speaking skill, listening skill, meta-analysis

Jantakoon, T., Jantakun, T., Jantakun, K., Pongpanich, W., Pasmala, R., Wannapiroon, P., & Nilsook, P. (2025). The effectiveness of artificial intelligence in English instruction for speaking and listening skills: A meta-analysis. Contemporary Educational Technology, 17(4), ep596. https://doi.org/10.30935/cedtech/17310

Abstract—Information technology has significantly impacted education, especially computer and telecommunications technology, enhancing educational development and increasing the efficiency of the teaching and learning process. Combining information technology with traditional classroom learning through electronic media interaction enhances knowledge and understanding for learners. Additionally, it fosters new experiences, creativity, and analytical thinking, enabling learners to use acquired knowledge for personal and societal development. This study focuses on the learning process through technology that fosters knowledge creation. The research objectives are: 1) To study the process of creating immersive learning experiences for the metaverse. 2) To design a learning process through the metaverse using Motivation, Information, Application, Progress (MIAP) to promote immersive experiences.

Keywords—metaverse learning process, MIAP, immersive experience

Sittisak Chomjan, Panita Wannapiroon, and Prachyanun Nilsook, “Metaverse Learning Process Using MIAP to Enhance Immersive Experience,” International Journal of Information and Education Technology, vol. 15, no. 8, pp. 1680-1686, 2025.
https://doi.org/10.18178/ijiet.2025.15.8.2369

Abstract

This research aims to 1) synthesize the conceptual framework and 2) develop the architecture and evaluate its applicability. This paper outlines the architectural framework for the digital transformation of enterprises, specifically focusing on an intelligent financial management system. The research is synthesized, and a systematic review employs the PRISMA flow diagram. This system will utilize a financial management database that includes salary management, accounting management, fixed asset management, risk control, report management, financial analysis, and system administration. This framework will integrate advanced artificial intelligence techniques to improve operational efficiency, accuracy, and security in financial operations. It can improve risk assessment, elevate client contacts, and optimize economic decision-making processes, therefore aiding in the formation of organizational support, management supervision, operational plans, and administrative decisions, among other elements. The results showed that this architecture has an excellent level of suitability (mean = 4.63, standard deviation = 0.44). It demonstrates that entities employing advanced financial management systems to facilitate data storage mitigate inaccuracies and assist in the rapid, precise, and efficient analysis of data, which is an outcome of implementing digital transformation. This shift enhances decision-making processes and fosters a culture of accountability and transparency within organizations, ultimately driving sustainable growth and innovation. © 2025 by the authors.

Keywords

Digital transformation; Financial management system; Intelligence financial management system

Pinyaphat Tasatanattakool, Katekeaw Pradit, Prachyanun Nilsook and Panita Wannapiroon (2025) Digital transformation of organizations: Intelligence financial management system. International Journal of Innovative Research and Scientific Studies, 8(1) 2025, pages: 773-783.
https://doi.org/10.53894/ijirss.v8i1.4422