This paper focuses on learning outcomes in the context of Computer Science Higher Education with the integration of Artificial Intelligence (AI) tools. As the rapid development of technological tools reshapes educational landscapes, educators face the challenge of effectively incorporating AI tools into pedagogical practices. While AI tools in Computer Science promise advantages, such as faster code generation and the optimization of learning time, concerns persist about potential over-reliance leading to reduced student learning. This study focuses on gathering evidence from students’ perspectives on the benefits of AI tool utilization and aims to scrutinize teachers’ practices in overcoming challenges associated with verifying learning outcomes. A survey questionnaire designed for students and teachers explores the areas of AI tool application, perceived benefits, impact on learning, practical application, and methods for validating student learning in the presence of AI. This study contributes to the ongoing discourse on the intersection of AI, pedagogy, and student success in Computer Science Higher Education.