The rapid development of digital technology and computational systems has increased the need for physics learning resources that can strengthen students’ conceptual understanding, programming skills, and computational problem-solving abilities. In computational physics courses, students often have difficulty connecting numerical methods, algorithmic procedures, and software implementations, particularly in numerical root-finding. This study aimed to develop and determine the feasibility of an Outcome-Based Education (OBE)-oriented digital computational physics practicum module on numerical root-finding using GNU Octave. The study employed a Research and Development (R&D) approach using the ADDIE model, which consists of five stages: analysis, design, development, implementation, and evaluation. The developed module integrates OBE-based learning outcomes, numerical root-finding concepts, numerical algorithms, GNU Octave programming tutorials, practicum worksheets, instructional videos, and learning evaluation components. The feasibility of the module was examined through material expert validation, media expert validation, a small-scale trial involving 23 Physics Education students, and a large-scale trial involving 75 students from several universities. The results showed that the material expert validation obtained an average score of 87%, while the media expert validation achieved 88%, both categorized as “Very Good.” Student responses in the small-scale trial showed percentages of 84.10% for display, 85% for material content, and 84% for video quality. In the large-scale trial, the display, material content, and video aspects obtained 85.3%, 87.78%, and 86.06%, respectively, all categorized as “Very Good.” The novelty of this study lies in integrating OBE principles with GNU Octave-based computational practicum activities into a structured digital module for numerical root-finding. The findings indicate that the developed module is feasible for supporting computational physics learning and contributes to physics education by providing an accessible, competency-oriented, and technology-based learning resource that strengthens students’ computational literacy, programming practice, and independent learning.