Abstract—Digital safety skills are essential for vocational students as technology becomes a core component of almost every industry. Thus, students’ understanding of how to stay safe online and use digital tools responsibly is critical for their academic and future success. However, traditional learning methods cause students to lack motivation and not understand the risks associated with the digital world. Without a clear understanding of these risks, learning about digital safety becomes less of a priority. This study presents an application of Gamified Hybrid Competency-Based Learning (GH-CBL). We designed and developed a GH-CBL system to enhance digital safety skills among vocational students. Experts validated the system design to ensure the appropriateness of its components for educational implementation. A pre-experimental research design was employed with a one-group pretest-posttest method with a sample of 40 vocational students. The research findings revealed that experts consider GH-CBL suitable for vocational students’ learning. In addition, the students’ digital safety achievement scores increased significantly before and after learning.

Keywords—vocational education, competency-based learning, gamification, digital platform, digital safety

Nutthacha Siengdee, Sasithorn Chookaew, and Prachyanun Nilsook, “Application of Gamified Hybrid Competency-Based Learning to Enhance Vocational Students’ Digital Safety Skills,” International Journal of Information and Education Technology, vol. 16, no. 2, pp. 569-573, 2026. https://doi.org/10.18178/ijiet.2026.16.2.2528

Abstract

This paper introduces a sophisticated knowledge management system developed to address the growing demand for real-time information retrieval and interaction. The system architecture leverages a robust Hypertext Preprocessor (PHP) backend to integrate Google’s Gemini Application Programming Interface (API) for advanced Large Language Model (LLM) functionalities, such as complex querying and content summarization. A key innovation is the implementation of PHP Fibers to manage I/O-bound tasks asynchronously, effectively overcoming the limitations of conventional synchronous processing and preventing application bottlenecks. For data retrieval, the system utilizes SQLite’s FTS5 extension for high-speed, indexed full-text search across large local datasets. To enhance accessibility, the Web Speech API is incorporated for text-to-speech functionality. Quantitative performance evaluation reveals that this asynchronous architecture achieves an improvement of up to 87% terms of information retrieval speed and reduces the average response latency by 35% compared to synchronous counterparts. Furthermore, the text-to-speech feature not only promotes inclusivity for users with disabilities but also facilitates more efficient cognitive processing of large volumes of information. © 2026 by the authors.

Author keywords

asynchronous programming; Hypertext Preprocessor (PHP) language; knowledge management system; Large Language Model (LLM); text-to-speech

Pinyaphat Tasatanattakool, Taskeow Srisod, Prachyanun Nilsook, Panita Wannapiroon, and Jira Jitsupa, “Intelligent (LLM) Knowledge Management System with Asynchronous Technology and Text-to-Speech Using PHP Language,” Journal of Advances in Information Technology, Vol. 17, No. 2, pp. 340-351, 2026.
https://doi.org/10.12720/jait.17.2.340-351

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