The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on data mining — covering clustering techniques, web and educational data mining, and data mining applications across domains.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
The rapid growth of artificial intelligence (AI) technologies has transformed educational environments and created new opportunities for enhancing digital literacy in science education. However, variations in technologic…
Students' opinions play a pivotal role in the formulation of successful educational policies. However, the computational analysis of the Moroccan Arabic Dialect remains widely viewed as problematic due to a focus on comp…
Graduate curriculum planning is critical to ensuring that teacher education programs remain responsive to professional standards, workplace demands, and emerging educational priorities. This study applies Educational Dat…
The rapid evolution of AI-enhanced learning environments has created an urgent need for intelligent educational systems capable of delivering early and personalized interventions under severe data sparsity conditions. Th…
The rapid transition to digital education in the Philippines, accelerated by the COVID-19 pandemic, has highlighted significant integration challenges for public school teachers in rural provinces like Bukidnon. While di…
Accurate student performance prediction is critical for data-driven educational decision-making; however, it is often hindered by data heterogeneity, privacy constraints, and domain shift across academic contexts. This s…
Predicting student academic performance constitutes a strategic priority for higher education institutions seeking to reduce attainment gaps and provide timely, targeted support. Existing approaches predominantly generat…
Speech is now routine evidence in criminal investigations, but forensic audio rarely matches the clean assumptions of standard speaker recognition. Clips are short, noisy, codec-compressed, and channel-mismatched, and th…
Blockchain technology has emerged as a transformative innovation in digital accounting, offering robust mechanisms to enhance auditability, data integrity, and fraud prevention. This study examines how blockchain-based a…
This study aims to examine the impact of corporate ownership structures on tax avoidance using a predictive data mining approach. The main challenge addressed is understanding how variations in ownership influence a firm…
