Student Needs Assessment for Google Colaboratory Implementation in Computational Physics Learning Bodi Gunawan
Universitas Bengkulu
Abstract
Background & Objective: This study evaluates student readiness, perceptions, and pedagogical needs regarding the integration of Google Colaboratory in computational physics courses. Methods: A mixed-methods survey was conducted with 85 physics undergraduate students to assess digital competence, infrastructure, and perceived barriers. Results: Findings reveal moderate overall digital readiness (Mean = 58.71- 0-100 scale). Although 43.5% were beginner programmers and 42.4% lacked prior Colab exposure, student willingness to adopt the platform was positive. The elimination of local software installations (91.8% agreement) was the most anticipated benefit, while internet dependency was the leading concern. To ease adoption, students prioritized interactive notebook examples and structured helpdesk support. Conclusion: While cloud-based platforms offer substantial collaborative advantages, effective implementation requires proactive curriculum scaffolding, technical mentoring, and flexible learning options to bridge infrastructure and programming skill gaps.
Keywords: Google Colaboratory, computational physics, needs assessment, digital readiness, cloud-based learning, higher education
