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