The Development of an AI-Driven Personalized Project-Based Learning Model to Strengthen Programmers’ Competencies in Higher Education

Main Article Content

Napharat Chooprai
Rujroad Kaewurai
Pathapong Pongpatrakant
Pichayapa Yaungsoi

Abstract

The role of technology in the digital era extends to economic and social development, including developing various capabilities for students' education. In technology fields, programming competence is considered a fundamental and essential skill for graduate studies, therefore, it is promoted in higher education curricula. This research study aims to synthesize and evaluate a conceptual framework of a learning model that integrates project-based learning (PBL) with personalized learning driven by artificial intelligence agents, to enhance programmers’ basic competencies in higher education. The research methodology involved developing a learning model through a study of concepts and theories, drafting a detailed model, conducting focus group discussions to refine the draft, and evaluating the model's suitability with experts. A group of nine experts participating in the evaluation. The research instruments included learning model that integrates Project-Based Learning with personalized learning driven by artificial intelligence agents, to enhance the basic competencies of programmers in higher education, in-dept higher education, in-depth interviews and group discussions, Data were analyzed using basic statistical methods, specifically mean and standard deviation. The results indicated that the developed model consisted of three main components: 1) input factors encompassing core principles, objectives, and content; 2) learning process featuring a six-step framework (1) conceptual sparking, (2) strategic planning, (3) implementation, (4) success summarizing, (5) idea dissemination, and (6) experiential reflection and summarization; 3) Assessment and evaluation of programmers’ competencies before and after the learning. The evaluation of the model’s appropriateness was at the highest level (M = 4.70, SD = 0.50) indicating that the model is highly suitable and can be applied as a prototype for actual instructional practices.

Article Details

How to Cite
Chooprai, N., Kaewurai, R., Pongpatrakant, P., & Yaungsoi, P. (2026). The Development of an AI-Driven Personalized Project-Based Learning Model to Strengthen Programmers’ Competencies in Higher Education. Journal of Information and Learning, 37(1), e283418. retrieved from https://so04.tci-thaijo.org/index.php/jil/article/view/283418
Section
Research Article

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