International Journal of Educational Communications and Technology

Integrated Project-Problem Learning (IPPL) to Promote the Programming Skills of Vocational Students

Manus Phuttawong — Thu, 26 Mar 2026 00:00:00 +0700

The objectives of this research were as follows: (1) synthesize an Integrated Project-Problem Learning (IPPL) to enhance the programming skills of vocational students; (2) develop the proposed learning process; and (3) evaluate its appropriateness. The instructional design was based on an integration of Project-Based Learning (PjBL) and Problem-Based Learning (PBL), structured into three main components: input factors, learning process, and outcomes. The development process led to the formation of the IPPL for Vocational Programming Skills model, comprising five instructional steps: problem analysis, solution design, project implementation, testing and refinement, and presentation with reflection. These steps promote analytical thinking and the development of systematic programming skills.

The evaluation of the IPPL process by subject-matter experts indicated that the overall appropriateness was rated at the highest level in terms of the conceptual framework, the process design, the learning activities, and the feasibility for classroom implementation, particularly in programming-related courses. Therefore, it can be concluded that the IPPL for Vocational Programming Skills model is a pedagogical approach that can be effectively applied in vocational education to enhance learners’ programming competencies in a structured and meaningful way.

Active Microlearning to Promote the Digital Competence of Vocational Certificate Students

Nopparat Klayklueng, Sukan Saeliang, Sasinan Kanharin, Phapawee Poolsombat — Thu, 26 Mar 2026 00:00:00 +0700

To promote the digital competencies of learners at the vocational certificate level, active microlearning management is a learning model that encourages learners to acquire digital competencies that are suitable for future career development and one which means that the students receive practical training in such a way as to achieve sustainable learning. Digital competency skills will help learners adapt appropriately to technological changes. The active microlearning model can be used to promote the digital competency of learners at the vocational certificate level. It is a learning model which has been developed from two learning approaches, namely active learning and micro learning and is a model that emphasizes practical practice and self-learning.

From the research process, it has been found that the active microlearning management model promotes the digital competency of learners at the vocational certificate level. In the Digital Technology for Career course, it was developed into a learning model incorporating 4 learning elements: 1) Determining learning objectives, 2) Planning and action, 3) Presenting knowledge, 4) Summarizing and evaluating. It can be used to develop learning and effectively promote digital competency skills, both of which are essential skills in the digital era.

Development of Health Story Web Application Using Artificial Intelligence for Food Label Analysis and Eating Behavior Prediction to Recommend Personalized Exercise

Rattikan Viboonpanich, Poommipat Phlailamoon, Pimnuda Chupradit — Wed, 01 Apr 2026 00:00:00 +0700

This paper presents the development of the Health Story web application, an innovative platform designed to promote personalized health management through the integration of artificial intelligence (AI) and behavioral psychology. Addressing the challenges in tracking dietary intake and personalizing exercise recommendations, the application features an OCR-powered food nutrition label scanning system for real-time food analysis and an AI-driven module for predicting eating behaviors and recommending personalized exercise patterns. It further incorporates an interactive, blog-based system to foster self-tracking and leverage narrative psychology for enhanced user engagement and motivation in achieving individual health goals. Developed with Next.js, Tailwind CSS, and a Directus/PostgreSQL backend, the system integrates advanced AI for weight loss outcome prediction. Comprehensive evaluation with 30 users across five key areas—user capability, system capability, system quality and efficiency, design, and security—demonstrated strong performance, achieving an average satisfaction score of 4.79±0.41. These results confirm that the Health Story application effectively meets its objectives, offering a sustainable and innovative solution for personalized digital health.