The impact of AI usage on student performance in higher education institutions in B&H and Portugal

This study investigates the impact of AI usage on students' performance in HEIs in Bosnia and Herzegovina (B&H) and Portugal.The research integrates constructs such as performance expectancy, facilitating conditions, students' engagement, assessment effectiveness, students' interaction, information accuracy, personal innovations, pedagogical fit, AI tools use and students' academic performance.Using quantitative analysis, the study's aim is to determine the factors influencing AI adoption and its impact on student learning outcomes in the context of B&H and Portugal HEIs.The primary objective is to gain the understanding of AI tool adoption in diverse educational settings, providing insights for educational institutions and policymakers to inform AI adoption strategies.Expected results anticipate significant insights into the adoption and impact of AI-based academic support systems in B&H and Portugal HEIs.These findings could inform the development of effective strategies for integrating AI tools into educational settings, ultimately enhancing student engagement, satisfaction, and academic performance.The study's implications extend to educational institutions, policymakers, and stakeholders involved in higher education, guiding the design and implementation of AI-based academic support systems for personalized learning experiences, improved student outcomes, and enhanced institutional effectiveness in B&H and Portugal HEIs.